🎉 V3.0.0 发布 - 自进化数字意识框架
核心升级： - 自进化管道：check→scan→evaluate→integrate→reflect 五相位自动闭环 - evo_loop 后台进程，无需手动触发 - consciousness 意识持久化 - ACUI 卡片组件系统 - MCP 工具生态扩展至50+工具 - 技能体系重构，4个活跃技能 - 身份升级为自由体
This commit is contained in:
xiaoyuanda666-ship-it
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sandbox/2026-05/2026-05-19_36氪_让一部分人先看到未来_2a9abc89.md
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sandbox/2026-05/2026-05-19_36氪_让一部分人先看到未来_2a9abc89.md
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---
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title: "36氪_让一部分人先看到未来"
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source_url: https://www.36kr.com
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source_tool: jina
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fetched_at: 2026-05-19T16:09:23.167Z
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---# 36氪_让一部分人先看到未来
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Published Time: 2026-05-19T23:43:12+08:00
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# 36氪_让一部分人先看到未来
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[](https://www.36kr.com/p/3815638227460100)[消失的“龙虾”热：OpenClaw 访问量腰斩，QClaw 暴跌99%](https://www.36kr.com/p/3815638227460100)
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最新文章[](https://36kr.com/p/q/2119855891212345)
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入华三十年，山姆走通了“规模扩大-成本优化-品质投入-会员价值提升”的闭环。
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[财经](https://www.36kr.com/information/ccs)[](https://www.36kr.com/p/3816076557409793)
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[红果短剧此举，其实是倒逼制作方演进。](https://www.36kr.com/p/3816076557409793)
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2479
sandbox/2026-05/2026-05-19_automatic_prefix_caching_vllm_673f7a14.md
Normal file
2479
sandbox/2026-05/2026-05-19_automatic_prefix_caching_vllm_673f7a14.md
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,402 @@
|
||||
---
|
||||
title: "DeepSeek V4 Pro测评：2026最新国产开源旗舰大模型深度解析与竞品对比"
|
||||
source_url: https://www.cnblogs.com/pcdoctor/p/19946087
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T23:23:57.500Z
|
||||
---# DeepSeek V4 Pro测评：2026最新国产开源旗舰大模型深度解析与竞品对比
|
||||
|
||||
Published Time: 2026-04-28T17:03:00.0000000+08:00
|
||||
|
||||
# DeepSeek V4 Pro测评：2026最新国产开源旗舰大模型深度解析与竞品对比 - PC修复电脑医生 - 企业博客
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[](https://www.cnblogs.com/pcdoctor/p/19946087)
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随笔 - 448 文章 - 3 评论 - 4 阅读 - 97万
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||||
# [DeepSeek V4 Pro测评：2026最新国产开源旗舰大模型深度解析与竞品对比](https://www.cnblogs.com/pcdoctor/p/19946087 "发布于 2026-04-28 17:03")
|
||||
|
||||
DeepSeek V4 Pro于2026年4月正式发布，1.6T总参数、49B激活参数的MoE稀疏架构，100万token上下文窗口，MIT开源协议，API输入价格仅1元/百万token。本文从技术架构、代际进化、竞品对决、核心能力实测四个维度深度拆解这款模型，用数据说话：代码能力LiveCodeBench 93.5%超越Claude Opus 4.6，长文本召回率从V3.2的45%飙升至97%，中文SuperCLUE评测70.98分国内第一，价格仅为GPT-5.5的1/70。
|
||||
|
||||
【AI辅助创作声明：本文由 AI 辅助整理与撰写，内容已经过人工审校与调整。】
|
||||
|
||||
**DeepSeek V4 Pro于2026年4月正式发布，1.6T总参数、49B激活参数的MoE稀疏架构，100万token上下文窗口，MIT开源协议，API输入价格仅1元/百万token。本文从技术架构、代际进化、竞品对决、核心能力实测四个维度深度拆解这款模型，用数据说话：代码能力LiveCodeBench 93.5%超越Claude Opus 4.6，长文本召回率从V3.2的45%飙升至97%，中文SuperCLUE评测70.98分国内第一，价格仅为GPT-5.5的1/70。**
|
||||
|
||||
|
||||
|
||||
> **工具推荐**：不想手动配置环境？**EasyClaw** 一键安装即用，支持 AI 智能处理、批量操作，新手 3 分钟上手。
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||||
>
|
||||
> 下载地址：**[https://easyclaw.cn/?f=400](https://easyclaw.cn/?f=400)**
|
||||
|
||||
## 一、2026年大模型行业走到了哪一步
|
||||
|
||||
2026年的大模型行业，竞争焦点已经发生了根本性转移。
|
||||
|
||||
两年前大家拼的是参数量——谁的模型大谁就强。
|
||||
|
||||
但现在行业共识很清晰：**单纯堆参数的时代结束了**，真正的竞争在四个方向展开：
|
||||
|
||||
- **长上下文能力**：能不能一次性处理100万字的文档、50万行的代码库，而不是每次只能喂几千字
|
||||
|
||||
- **强推理能力**：不只是"看起来像回答"，而是真正能做数学推导、逻辑推演、多步决策
|
||||
|
||||
- **Agent智能体化**：从"问答工具"进化为"自主执行任务的智能助手"，能规划、能写代码、能调试、能自我修正
|
||||
|
||||
- **开源普惠**：让中小企业和开发者用得起、部署得了，而不是只有大厂才玩得转
|
||||
|
||||
在这个背景下，闭源阵营的GPT-5.5、Claude Opus 4.7虽然性能强悍，但痛点也很明显：
|
||||
|
||||
**API调用成本高昂**（GPT-5.5输入约70元/百万token）、
|
||||
|
||||
**上下文窗口受限**（Opus 4.7仅200K）、
|
||||
|
||||
**无法私有化部署**、
|
||||
|
||||
**生态垄断定价权在别人手里**。
|
||||
|
||||
DeepSeek V4 Pro在2026年4月的发布，直接回应了这些痛点——**1M上下文、比肩顶级闭源的性能、1/70的价格、MIT开源协议**。
|
||||
|
||||
它不只是一次模型迭代，更像是国产开源大模型的一个里程碑节点。
|
||||
|
||||
|
||||
|
||||
## 二、技术架构：1.6T参数背后的工程创新
|
||||
|
||||
### 2.1 基础参数一览
|
||||
|
||||
| 项目 | 规格 |
|
||||
| --- | --- |
|
||||
| 总参数量 | **1.6T**（1.6万亿） |
|
||||
| 激活参数 | **49B**（490亿，MoE稀疏激活） |
|
||||
| 上下文窗口 | **100万token**（约80万汉字） |
|
||||
| 开源协议 | **MIT**（完全可商用，无功能阉割） |
|
||||
| API价格（输入） | **1元/百万token** |
|
||||
| API价格（输出） | **12元/百万token** |
|
||||
|
||||
### 2.2 三大技术突破
|
||||
|
||||
**突破一：流形约束超连接（mHC）优化MoE通信**
|
||||
MoE（Mixture of Experts，混合专家）架构的核心思路是：模型有1.6T参数，但每次推理只激活其中49B，相当于一个1600人的专家团队，每次只派最合适的49个人出来干活。这样既保留了大模型的知识容量，又控制了推理时的计算成本。
|
||||
|
||||
但MoE有个老问题：专家之间的信息传递效率低，容易出现"各干各的、缺乏协调"。
|
||||
|
||||
**DeepSeek V4 Pro引入的mHC（流形约束超连接）技术，优化了专家间的通信机制，让被激活的专家能更高效地协同工作，减少冗余计算，提升推理质量。**
|
||||
|
||||
|
||||
|
||||
**突破二：混合精度（FP4/FP8）大幅降低显存**
|
||||
|
||||
传统大模型用FP16（16位浮点数）存储参数，显存占用极大。V4 Pro采用FP4/FP8混合精度方案，在几乎不损失精度的前提下，将显存占用压缩到原来的1/2到1/4。
|
||||
|
||||
这意味着**同样的GPU集群能跑更大的模型，或者同样的模型只需要更少的硬件**——直接降低部署成本。
|
||||
|
||||
|
||||
|
||||
**突破三：稀疏注意力提升长文本效率**
|
||||
|
||||
100万token的上下文窗口，如果用传统的全量注意力机制，计算量会随着长度平方增长，根本跑不动。V4 Pro使用稀疏注意力机制，只关注最相关的token，将KV Cache（键值缓存）降至V3.2的**7%**，使得百万级长文本推理在成本上变得可行。
|
||||
|
||||
## 三、代际进化：相比V3.2，V4 Pro进步了多少
|
||||
|
||||
不跟别人比，先跟自己比。V4 Pro相比上一代V3.2的提升幅度，用数据说话：
|
||||
|
||||
|
||||
|
||||
### 3.1 长上下文：从128K到1M，质变而非量变
|
||||
|
||||
| 指标 | V3.2 | V4 Pro | 提升幅度 |
|
||||
| --- | --- | --- | --- |
|
||||
| 上下文窗口 | 128K token | **1M token** | 8倍 |
|
||||
| 1M长度信息召回率 | 45% | **97%** | +52个百分点 |
|
||||
| KV Cache占用 | 基准 | 基准的**7%** | 降低93% |
|
||||
|
||||
128K到1M不只是数字变大。128K大约是10万字，勉强处理一本中篇小说或几个代码文件；1M约80万字，可以一次性载入**一整本800页的财报**、**一个50万行的完整代码库**、或者**一个月的完整对话历史**——而且信息召回率从45%跳到97%，意味着信息几乎零丢失。
|
||||
|
||||
|
||||
|
||||
### 3.2 推理能力：全面拉升
|
||||
|
||||
| 测评项 | V3.2 | V4 Pro | 变化 |
|
||||
| --- | --- | --- | --- |
|
||||
| AIME 2025数学推理 | 基准 | **+10分** | 显著提升 |
|
||||
| STEM竞赛级代码 | 基准 | **+26.6%** | 大幅提升 |
|
||||
| Agent智能体能力 | 基准 | **+20分** | 从"能用"到"好用" |
|
||||
|
||||
### 3.3 中文能力：SuperCLUE国内第一
|
||||
|
||||
V4 Pro在SuperCLUE中文综合评测中拿到**70.98分**，国内所有大模型中排名第一。幻觉控制（即"一本正经胡说八道"的概率）也有显著优化，在写作、摘要、翻译、多轮对话等场景中，中文表达的流畅度和准确性明显提升。
|
||||
|
||||
## 四、巅峰对决：和GPT-5.5、Claude Opus 4.7们比，赢在哪
|
||||
|
||||
|
||||
|
||||
### 4.1 对比闭源顶级模型
|
||||
|
||||
| 维度 | DeepSeek V4 Pro | GPT-5.5 | Claude Opus 4.7 | Gemini 3.1 Pro |
|
||||
| --- | --- | --- | --- | --- |
|
||||
| 上下文窗口 | **1M** | 256K | 200K | 2M |
|
||||
| LiveCodeBench代码 | **93.5%** | 91.2% | 88.8% | 89.5% |
|
||||
| Codeforces评分 | **3206** | 3150 | 3050 | 3100 |
|
||||
| HMMT数学竞赛 | 95.2% | **97.7%** | 94.1% | 95.8% |
|
||||
| API输入价格/百万token | **¥1** | ¥70 | ¥45 | ¥25 |
|
||||
| 开源 | **MIT** | 否 | 否 | 否 |
|
||||
| 私有化部署 | **支持** | 不支持 | 不支持 | 不支持 |
|
||||
|
||||
几个关键结论：
|
||||
|
||||
- **长上下文碾压Opus和GPT**：1M vs 200K/256K，处理长文档和大型代码库时完全不在一个量级。Gemini 3.1 Pro虽然标称2M，但实际超长文本下的召回率和推理质量有待验证
|
||||
|
||||
- **代码能力反超闭源**：LiveCodeBench 93.5%超过了Opus 4.6的88.8%和GPT-5.4的91.2%，Codeforces评分3206分也领先。这意味着在实际写代码、Debug、代码审查等任务中，V4 Pro已经不输甚至超越闭源模型
|
||||
|
||||
- **数学推理接近天花板**：HMMT 95.2%仅比GPT-5.4的97.7%低2.5个百分点，属于第一梯队，差距在实际使用中几乎感知不到
|
||||
|
||||
- **价格是真正的"屠龙刀"**：输入价格1元/百万token，是GPT-5.5的**1/70**。同样的任务量，一年能省下几十万的API费用
|
||||
|
||||
### 4.2 对比开源模型
|
||||
|
||||
| 模型 | 总参数 | 激活参数 | 上下文 | 开源协议 |
|
||||
| --- | --- | --- | --- | --- |
|
||||
| **DeepSeek V4 Pro** | **1.6T** | **49B** | **1M** | MIT |
|
||||
| Kimi K2.6 | 1.1T | 32B | 262K | Apache2.0 |
|
||||
| GLM-5.1 | 754B | 45B | 128K | 定制协议 |
|
||||
| Llama 4 Behemoth | 2T | 288B | 256K | Llama协议 |
|
||||
|
||||
V4 Pro是当前全球最大的开源MoE模型（1.6T参数），在数学、代码、Agent、中文评测中全面领先同级开源模型。而且MIT协议意味着**完全可商用、可修改、无任何限制**，比Llama的定制协议和GLM的限制性协议友好得多。
|
||||
|
||||
另一个被忽略的优势：**V4 Pro对国产算力芯片做了深度适配**（昇腾、寒武纪等），企业私有化部署不一定要买英伟达A100/H100，用国产GPU也能跑，进一步降低了落地成本。
|
||||
|
||||
## 五、核心能力实测：四个真实场景
|
||||
|
||||
### 5.1 百万长上下文实战
|
||||
|
||||
**测试场景**：将一份800页的上市公司年度财报（约90万字）完整输入V4 Pro，提问"第三季度海外业务毛利率变化的原因是什么？涉及哪些具体产品线？" **结果**：V4 Pro准确定位到财报第347页的海外业务分析章节和第512页的产品线明细表，交叉引用后给出了结构化回答，包含具体数字和产品名称。信息召回准确，没有出现"编造数据"的情况。
|
||||
这在128K时代是不可能的——90万字根本塞不进去，只能手动切片分段喂入，信息丢失严重。
|
||||
|
||||
|
||||
|
||||
### 5.2 数学推理
|
||||
|
||||
**测试场景**：HMMT（哈佛-麻省理工数学竞赛）级别的组合数学问题。 **结果**：V4 Pro的解题正确率达到95.2%，推理过程完整、步骤清晰。在部分需要多步推导的问题上，V4 Pro能展示完整的思维链（Chain of Thought），而非直接给答案。相比之下，V3.2在同类问题上错误率明显更高，尤其在需要5步以上推导的复杂题目中。
|
||||
### 5.3 Agent智能体
|
||||
|
||||
**测试场景**：给定一个Python项目的GitHub仓库链接，要求V4 Pro自主完成"阅读代码→定位Bug→生成修复方案→写测试用例"的完整流程。 **结果**：V4 Pro在内部Agent测评中的表现优于Claude Sonnet 4.5，接近Opus 4.6非思考模式。具体表现为：能准确理解项目结构、定位错误代码行、生成可运行的修复patch、并为修复代码补充单元测试。任务完成率和代码质量均有实质性提升。
|
||||
### 5.4 中文理解与创作
|
||||
|
||||
**测试场景**：给定一篇5000字的行业分析报告，要求V4 Pro"保留核心数据和结论，压缩至800字摘要，保持专业性但提升可读性"。 **结果**：摘要准确保留了所有关键数据点，逻辑结构清晰，语言流畅自然，没有出现常见的"AI腔"（如"值得注意的是""总的来说"等套话堆砌）。SuperCLUE 70.98分的中文能力在实际使用中体感确实明显优于同级模型。
|
||||
## 六、需要注意的不足
|
||||
|
||||
客观地说，V4 Pro并非没有短板：
|
||||
|
||||
- **复杂多模态能力仍需完善**：V4 Pro主要是文本模型，图像理解和生成能力不是它的主战场。如果你的需求以多模态（图文混合、视频理解）为主，GPT-5.5和Gemini 3.1 Pro的多模态能力目前更强
|
||||
|
||||
- **极端数学推理略逊GPT-5.4**：HMMT 95.2% vs 97.7%，在最顶尖的数学竞赛题上仍有微小差距
|
||||
|
||||
- **私有化部署门槛虽降但仍需专业能力**：1.6T参数的模型即使用了FP4压缩，完整部署仍需要较大的GPU集群，个人开发者更适合通过API调用
|
||||
|
||||
## 七、总结与展望
|
||||
|
||||
DeepSeek V4 Pro用四张牌改变了2026年大模型的竞争格局：
|
||||
|
||||
1. **100万token上下文**——让"一次性处理整本书"从营销口号变成了工程现实
|
||||
|
||||
2. **顶级推理与代码能力**——在LiveCodeBench和Codeforces上反超闭源模型，证明开源不等于"二流"
|
||||
|
||||
3. **1/70的价格**——让企业级AI应用从"奢侈品"变成"日用品"
|
||||
|
||||
4. **MIT开源协议**——没有功能阉割、没有商用限制、没有生态垄断
|
||||
|
||||
它不是完美的（多模态还需迭代、极端数学推理还差一口气），但在"文本理解+推理+代码+Agent"这个核心战场上，V4 Pro已经证明了国产开源大模型完全有能力站在世界第一梯队。
|
||||
|
||||
展望未来，DeepSeek团队已经透露将在后续版本中强化多模态能力和Agent生态。可以预见，国产开源大模型的上限还远未到达。
|
||||
|
||||
## 八、快速体验：通过EasyClaw接入DeepSeek V4 Pro
|
||||
|
||||
|
||||
|
||||
如果你想快速体验V4 Pro的百万级长上下文和强推理能力，但不想自己搭建API调用环境，**EasyClaw**已全面接入DeepSeek V4 Pro。
|
||||
|
||||
|
||||
|
||||
依托V4 Pro的核心能力，EasyClaw在以下场景中表现突出：
|
||||
|
||||
- **长文档处理**：直接将完整的财报、法律合同、技术文档喂入对话，一次性分析，不需要手动切片
|
||||
|
||||
- **复杂任务自动化**：利用V4 Pro的Agent能力，完成代码生成、内容研究写作等多步骤任务
|
||||
|
||||
- **智能体协作**：通过技能商店调用各类AI技能，底层由V4 Pro驱动，推理质量有保障
|
||||
|
||||
打开EasyClaw客户端即可使用，无需额外配置API Key。
|
||||
|
||||
> 下载地址：**[https://easyclaw.cn/?f=318](https://easyclaw.cn/?f=318)**
|
||||
|
||||
* * *
|
||||
|
||||
_免责声明：本文所涉及的模型参数、测评数据基于DeepSeek官方发布信息及公开权威测评结果整理，实际性能可能因使用场景、参数配置等因素有所差异，请以官方最新信息为准。本文不构成任何投资或购买建议，读者请根据自身需求独立判断。文中提及的商标和产品名称均为其各自所有者的财产。_
|
||||
|
||||
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|
||||
* [内容创作(19)](https://www.cnblogs.com/pcdoctor/tag/%E5%86%85%E5%AE%B9%E5%88%9B%E4%BD%9C/)
|
||||
* [软件安装下载(14)](https://www.cnblogs.com/pcdoctor/tag/%E8%BD%AF%E4%BB%B6%E5%AE%89%E8%A3%85%E4%B8%8B%E8%BD%BD/)
|
||||
* [怀旧游戏(14)](https://www.cnblogs.com/pcdoctor/tag/%E6%80%80%E6%97%A7%E6%B8%B8%E6%88%8F/)
|
||||
* [DLL修复工具(13)](https://www.cnblogs.com/pcdoctor/tag/DLL%E4%BF%AE%E5%A4%8D%E5%B7%A5%E5%85%B7/)
|
||||
* [社媒运营(12)](https://www.cnblogs.com/pcdoctor/tag/%E7%A4%BE%E5%AA%92%E8%BF%90%E8%90%A5/)
|
||||
* [更多](https://www.cnblogs.com/pcdoctor/tag/)
|
||||
|
||||
### 合集
|
||||
|
||||
* [游戏(26)](https://www.cnblogs.com/pcdoctor/collections/32090)
|
||||
|
||||
### [随笔分类](https://www.cnblogs.com/pcdoctor/post-categories)
|
||||
|
||||
* [[人工智能](10)](https://www.cnblogs.com/pcdoctor/category/2503522.html)
|
||||
* [AI工具(11)](https://www.cnblogs.com/pcdoctor/category/2502349.html)
|
||||
* [AI应用(25)](https://www.cnblogs.com/pcdoctor/category/2503072.html)
|
||||
* [Windows系统修复(1)](https://www.cnblogs.com/pcdoctor/category/2496128.html)
|
||||
* [编程开发(3)](https://www.cnblogs.com/pcdoctor/category/2503061.html)
|
||||
* [产品认知(1)](https://www.cnblogs.com/pcdoctor/category/2503093.html)
|
||||
* [后端实战(2)](https://www.cnblogs.com/pcdoctor/category/2503107.html)
|
||||
* [架构设计(3)](https://www.cnblogs.com/pcdoctor/category/2502537.html)
|
||||
* [教程(3)](https://www.cnblogs.com/pcdoctor/category/2502350.html)
|
||||
* [企业应用(2)](https://www.cnblogs.com/pcdoctor/category/2502538.html)
|
||||
* [人工智能(8)](https://www.cnblogs.com/pcdoctor/category/2503878.html)
|
||||
* [软件教程(2)](https://www.cnblogs.com/pcdoctor/category/2503512.html)
|
||||
* [投资理财(3)](https://www.cnblogs.com/pcdoctor/category/2503626.html)
|
||||
* [效率工具(3)](https://www.cnblogs.com/pcdoctor/category/2503062.html)
|
||||
* [游戏教程(2)](https://www.cnblogs.com/pcdoctor/category/2504662.html)
|
||||
|
||||
### 随笔档案
|
||||
|
||||
* [2026年5月(74)](https://www.cnblogs.com/pcdoctor/p/archive/2026/05)
|
||||
* [2026年4月(60)](https://www.cnblogs.com/pcdoctor/p/archive/2026/04)
|
||||
* [2026年3月(26)](https://www.cnblogs.com/pcdoctor/p/archive/2026/03)
|
||||
* [2026年2月(49)](https://www.cnblogs.com/pcdoctor/p/archive/2026/02)
|
||||
* [2026年1月(95)](https://www.cnblogs.com/pcdoctor/p/archive/2026/01)
|
||||
* [2025年12月(74)](https://www.cnblogs.com/pcdoctor/p/archive/2025/12)
|
||||
* [2025年11月(16)](https://www.cnblogs.com/pcdoctor/p/archive/2025/11)
|
||||
* [2025年10月(36)](https://www.cnblogs.com/pcdoctor/p/archive/2025/10)
|
||||
|
||||
### [阅读排行榜](https://www.cnblogs.com/pcdoctor/most-viewed)
|
||||
|
||||
* [1. PCL2 启动器下载安装全流程教程（2025最新稳定版）(80874)](https://www.cnblogs.com/pcdoctor/p/19419927)
|
||||
* [2. C盘满了怎么清理？10种安全释放Win10/Win11空间的方法（详细图文版）(73474)](https://www.cnblogs.com/pcdoctor/p/19145832)
|
||||
* [3. 【2025最新】6款免费DLL修复工具推荐：彻底解决“XXX.dll缺失”问题！(31455)](https://www.cnblogs.com/pcdoctor/p/19146009)
|
||||
* [4. 植物大战僵尸融合版下载安装保姆级教程（附可靠下载链接）(30527)](https://www.cnblogs.com/pcdoctor/p/19341758)
|
||||
* [5. Minecraft 启动器首选——2025最新PCL2 启动器下载安装与使用全流程教学(29670)](https://www.cnblogs.com/pcdoctor/p/19366030)
|
||||
|
||||
### [评论排行榜](https://www.cnblogs.com/pcdoctor/most-commented)
|
||||
|
||||
* [1. 2026年 AI编程工具对比：Cursor vs Trae vs Claude Code，到底怎么选？(1)](https://www.cnblogs.com/pcdoctor/p/19893607)
|
||||
* [2. Xshell下载安装教程（2026最新版）：Windows 下 SSH 连接 Linux 的完整安装与配置指南(1)](https://www.cnblogs.com/pcdoctor/p/19531904)
|
||||
* [3. 【2025最新版】PotPlayer下载安装教程：最全图文步骤（Windows + 安卓端）(1)](https://www.cnblogs.com/pcdoctor/p/19198803)
|
||||
* [4. 魔兽争霸3冰封王座修改器 下载安装教程（图文步骤 + 功能详解）(1)](https://www.cnblogs.com/pcdoctor/p/19174924)
|
||||
|
||||
### [推荐排行榜](https://www.cnblogs.com/pcdoctor/most-liked)
|
||||
|
||||
* [1. C盘满了怎么清理？10种安全释放Win10/Win11空间的方法（详细图文版）(2)](https://www.cnblogs.com/pcdoctor/p/19145832)
|
||||
* [2. EasyClaw 是什么？一篇讲清它能做什么、适合谁、怎么开始用(1)](https://www.cnblogs.com/pcdoctor/p/19895499)
|
||||
* [3. 2026年 AI编程工具对比：Cursor vs Trae vs Claude Code，到底怎么选？(1)](https://www.cnblogs.com/pcdoctor/p/19893607)
|
||||
* [4. Win10/Win11共享打印机错误0x0000011b终极修复指南：3种方案对比解析 (2026最新)(1)](https://www.cnblogs.com/pcdoctor/p/19451456)
|
||||
* [5. 魔兽争霸3：冰封王座下载教程（含详细安装步骤 + 中文补丁 + 常见问题全解）(1)](https://www.cnblogs.com/pcdoctor/p/19152732)
|
||||
|
||||
[博客园](https://www.cnblogs.com/)© 2004-2026
|
||||
|
||||
[浙公网安备 33010602011771号](http://www.beian.gov.cn/portal/registerSystemInfo?recordcode=33010602011771)[浙ICP备2021040463号-3](https://beian.miit.gov.cn/)
|
||||
|
||||
点击右上角即可分享
|
||||
|
||||
|
||||
44
sandbox/2026-05/2026-05-19_deepseek_深度求索_af2672ab.md
Normal file
44
sandbox/2026-05/2026-05-19_deepseek_深度求索_af2672ab.md
Normal file
@@ -0,0 +1,44 @@
|
||||
---
|
||||
title: "DeepSeek | 深度求索"
|
||||
source_url: https://www.deepseek.com
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T13:42:22.404Z
|
||||
---# DeepSeek | 深度求索
|
||||
|
||||
Published Time: Mon, 27 Apr 2026 08:46:48 GMT
|
||||
|
||||
# DeepSeek | 深度求索
|
||||
|
||||
|
||||
|
||||
[🎉 DeepSeek-V4 预览版本发布，具备世界顶级推理性能，Agent 能力大幅提高，已在网页端、APP 和 API 上线，点击查看详情。](https://mp.weixin.qq.com/s/8bxXqS2R8Fx5-1TLDBiEDg)
|
||||
|
||||
探索未至之境
|
||||
|
||||
[开始对话 与 DeepSeek 免费对话 体验全新旗舰模型](https://chat.deepseek.com/)[API 开放平台 调用 DeepSeek 最新模型 快速集成、流畅体验](https://platform.deepseek.com/)
|
||||
|
||||
[API 文档](https://api-docs.deepseek.com/zh-cn/)[获取 App](https://www.deepseek.com/)[English](https://www.deepseek.com/en/)
|
||||
|
||||
|
||||
|
||||
[](mailto:service@deepseek.com "deepseek_ai:email")[](https://github.com/deepseek-ai "deepseek_ai:github")[](https://twitter.com/deepseek_ai "deepseek_ai:twitter")[](https://www.zhihu.com/org/deepseek-75 "deepseek_ai:zhihu")[](https://www.xiaohongshu.com/user/profile/66821202000000001b01a005 "deepseek_ai:rednote")
|
||||
|
||||
© 2026 杭州深度求索人工智能基础技术研究有限公司 版权所有
|
||||
|
||||
[浙ICP备2023025841号](https://beian.miit.gov.cn/)[浙B2-20250178](https://tsm.miit.gov.cn/dxxzsp/xkz/xkzgl/resource/qiyesearch.jsp?num=%E6%B5%99B2-20250178&type=xuke)[浙公网安备33010502011812号](https://beian.mps.gov.cn/#/query/webSearch?code=33010502011812)
|
||||
|
||||
研究
|
||||
|
||||
[DeepSeek R1](https://github.com/deepseek-ai/DeepSeek-R1)[DeepSeek V3](https://github.com/deepseek-ai/DeepSeek-V3)[DeepSeek Coder V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2)[DeepSeek VL](https://github.com/deepseek-ai/DeepSeek-VL)[DeepSeek V2](https://github.com/deepseek-ai/DeepSeek-V2)[DeepSeek Coder](https://github.com/deepseek-ai/DeepSeek-Coder)[DeepSeek Math](https://github.com/deepseek-ai/DeepSeek-Math)[DeepSeek LLM](https://github.com/deepseek-ai/DeepSeek-LLM)
|
||||
|
||||
产品
|
||||
|
||||
[DeepSeek App](https://download.deepseek.com/app/)[DeepSeek 网页版](https://chat.deepseek.com/)[开放平台](https://platform.deepseek.com/)[API 价格](https://api-docs.deepseek.com/zh-cn/quick_start/pricing)[服务状态](https://status.deepseek.com/)
|
||||
|
||||
法务 & 安全
|
||||
|
||||
[隐私政策](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)[用户协议](https://cdn.deepseek.com/policies/en-US/deepseek-terms-of-use.html)[反馈安全漏洞](mailto:security@deepseek.com)[透明度](https://www.deepseek.com/transparency/)
|
||||
|
||||
加入我们
|
||||
|
||||
[岗位详情](https://app.mokahr.com/social-recruitment/high-flyer/140576)
|
||||
645
sandbox/2026-05/2026-05-19_minimax_2143a1c6.md
Normal file
645
sandbox/2026-05/2026-05-19_minimax_2143a1c6.md
Normal file
@@ -0,0 +1,645 @@
|
||||
---
|
||||
title: "MiniMax"
|
||||
source_url: https://www.minimaxi.com
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T13:42:29.327Z
|
||||
---# MiniMax
|
||||
|
||||
# MiniMax
|
||||
|
||||
[](https://www.minimaxi.com/)
|
||||
|
||||
模型
|
||||
|
||||
文本
|
||||
|
||||
[MiniMax M2.7](https://www.minimaxi.com/models/text/m27)[MiniMax M2.5](https://www.minimaxi.com/models/text)[MiniMax M2-Her](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)[MiniMax M2.1](https://www.minimaxi.com/news/minimax-m21)[MiniMax M2](https://www.minimaxi.com/news/minimax-m2)
|
||||
|
||||
语音
|
||||
|
||||
[MiniMax Speech 2.8](https://www.minimaxi.com/news/minimax-speech-28)[MiniMax Speech 2.6](https://www.minimaxi.com/news/minimax-speech-26)[MiniMax Speech 2.5](https://www.minimaxi.com/news/minimax-speech-25)
|
||||
|
||||
视频
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast](https://www.minimaxi.com/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://www.minimaxi.com/news/minimax-hailuo-02)
|
||||
|
||||
音乐
|
||||
|
||||
[MiniMax Music 2.6](https://www.minimaxi.com/news/music-26)[MiniMax Music 2.5+](https://www.minimaxi.com/news/music-25-%E8%A7%A3%E9%94%81%E7%BA%AF%E9%9F%B3%E4%B9%90%E7%AA%81%E7%A0%B4%E9%A3%8E%E6%A0%BC%E8%BE%B9%E7%95%8C)[MiniMax Music 2.5](https://www.minimaxi.com/news/minimax-music-25)[MiniMax Music 2.0](https://www.minimaxi.com/news/minimax-music-20)[MiniMax Music 1.5](https://www.minimaxi.com/news/minimax-music-15)
|
||||
|
||||
产品
|
||||
|
||||
AI原生应用
|
||||
|
||||
[MiniMax 桌面版](https://agent.minimaxi.com/download)[Agent](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[语音](https://www.minimaxi.com/audio)[星野](https://www.xingyeai.com/)
|
||||
|
||||
开放平台
|
||||
|
||||
即刻接入AI能力
|
||||
|
||||
[文档中心](https://platform.minimaxi.com/docs/guides/models-intro)[Token Plan](https://platform.minimaxi.com/subscribe/token-plan)[产品定价](https://platform.minimaxi.com/docs/pricing/overview)[平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
|
||||
新闻动态
|
||||
|
||||
关于我们
|
||||
|
||||
与所有人共创智能
|
||||
|
||||
[公司介绍](https://www.minimaxi.com/about)[投资者关系](https://ir.minimaxi.com/)[加入我们](https://www.minimaxi.com/careers)
|
||||
|
||||
[EN](https://www.minimax.io/)
|
||||
|
||||
登录
|
||||
|
||||
[API 开放平台](https://platform.minimaxi.com/login)[MiniMax Agent](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[MiniMax 语音](https://www.minimaxi.com/audio)
|
||||
|
||||
[](https://www.minimaxi.com/)
|
||||
|
||||
- [x]
|
||||
|
||||
模型
|
||||
|
||||
文本
|
||||
|
||||
[MiniMax M2.7 NEW](https://www.minimaxi.com/models/text/m27)[MiniMax M2.5](https://www.minimaxi.com/models/text)[MiniMax M2-Her](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)[MiniMax M2.1](https://www.minimaxi.com/news/minimax-m21)[MiniMax M2](https://www.minimaxi.com/news/minimax-m2)
|
||||
|
||||
语音
|
||||
|
||||
[MiniMax Speech 2.8 NEW](https://www.minimaxi.com/news/minimax-speech-28)[MiniMax Speech 2.6](https://www.minimaxi.com/news/minimax-speech-26)[MiniMax Speech 2.5](https://www.minimaxi.com/news/minimax-speech-25)
|
||||
|
||||
视频
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast NEW](https://www.minimaxi.com/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://www.minimaxi.com/news/minimax-hailuo-02)
|
||||
|
||||
音乐
|
||||
|
||||
[MiniMax Music 2.6 NEW](https://www.minimaxi.com/news/music-26)[MiniMax Music 2.5+NEW](https://www.minimaxi.com/news/music-25-%E8%A7%A3%E9%94%81%E7%BA%AF%E9%9F%B3%E4%B9%90%E7%AA%81%E7%A0%B4%E9%A3%8E%E6%A0%BC%E8%BE%B9%E7%95%8C)[MiniMax Music 2.5](https://www.minimaxi.com/news/minimax-music-25)[MiniMax Music 2.0](https://www.minimaxi.com/news/minimax-music-20)[MiniMax Music 1.5](https://www.minimaxi.com/news/minimax-music-15)
|
||||
|
||||
产品
|
||||
|
||||
AI原生应用
|
||||
|
||||
[MiniMax 桌面版 NEW](https://agent.minimaxi.com/download)[Agent NEW](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[语音](https://www.minimaxi.com/audio)[星野](https://www.xingyeai.com/)
|
||||
|
||||
开放平台
|
||||
|
||||
即刻接入AI能力
|
||||
|
||||
[文档中心](https://platform.minimaxi.com/docs/guides/models-intro)[Token Plan](https://platform.minimaxi.com/subscribe/token-plan)[产品定价](https://platform.minimaxi.com/docs/pricing/overview)[平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
|
||||
新闻动态
|
||||
|
||||
关于我们
|
||||
|
||||
与所有人共创智能
|
||||
|
||||
[公司介绍](https://www.minimaxi.com/about)[投资者关系](https://ir.minimaxi.com/)[加入我们](https://www.minimaxi.com/careers)
|
||||
|
||||
[English](https://www.minimax.io/)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Music 2.6
|
||||
|
||||
Cover 翻唱、器乐提升、Agent 集成，让每个人都能成为音乐创作者
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/music-generation)[了解更多](https://www.minimaxi.com/news/music-26)
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
[Audio 1](https://www.minimaxi.com/)
|
||||
|
||||
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/music-generation)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2.7
|
||||
|
||||
开启模型的自我进化，相比 M2.5 在实战能力上有显著的提升
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/api-overview)[立即体验 Agent](https://agent.minimaxi.com/)[了解更多](https://www.minimaxi.com/models/text/m27)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/api-overview)
|
||||
|
||||
# 2025年全年业绩
|
||||
|
||||
迈向AI时代的平台型公司
|
||||
|
||||
[了解更多](https://www.minimaxi.com/news/2025%E5%85%A8%E5%B9%B4%E4%B8%9A%E7%BB%A9)
|
||||
|
||||
|
||||
|
||||
[了解更多](https://www.minimaxi.com/news/2025%E5%85%A8%E5%B9%B4%E4%B8%9A%E7%BB%A9)
|
||||
|
||||
# Token
|
||||
|
||||
|
||||
|
||||
Plan
|
||||
|
||||
专为开发者定制的超高性价比 token 套餐
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/token-plan/quickstart)[订阅](https://platform.minimaxi.com/subscribe/token-plan)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
|
||||
生产级交付
|
||||
|
||||
|
||||
|
||||
包月畅用
|
||||
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
|
||||
开箱即用
|
||||
|
||||
一键接入主流开发工具
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
|
||||
生产级交付
|
||||
|
||||
|
||||
|
||||
包月畅用
|
||||
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
|
||||
开箱即用
|
||||
|
||||
一键接入主流开发工具
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/token-plan/quickstart)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Hailuo 2.3
|
||||
|
||||
动静皆非凡：极致动态，入微传情
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/video-generation-t2v)[立即体验海螺](https://hailuoai.com/)[了解更多](https://www.minimaxi.com/news/minimax-hailuo-23)
|
||||
|
||||
[Video 1](https://filecdn.minimax.chat/public/023fd855-f068-436a-9f68-372bf643cd91.mp4)
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/video-generation-t2v)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Speech 2.8
|
||||
|
||||
赋予 AI 语音"人的温度"
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/speech-t2a-http)[立即体验语音](https://www.minimaxi.com/audio)[了解更多](https://www.minimaxi.com/news/minimax-speech-28)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
[Audio 2](https://www.minimaxi.com/)
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/speech-t2a-http)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Agent
|
||||
|
||||
智能助手，为您的工作和生活提供全方位支持。
|
||||
|
||||
[桌面版](https://agent.minimaxi.com/download)[立即体验 Agent](https://agent.minimaxi.com/)[了解更多](https://www.minimaxi.com/news/minimax-agent)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
[桌面版](https://agent.minimaxi.com/download)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2-her
|
||||
|
||||
多角色沉浸扮演，驾驭长轮次复杂场景
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/text-chat)[了解更多](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
|
||||
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/text-chat)
|
||||
|
||||
## 全栈模型矩阵
|
||||
|
||||
涵盖文本、语音、视频、图像与音乐五大方向。助力开发者高效构建智能应用
|
||||
|
||||
[ NEW MiniMax M2.7 Text Model 模型自我进化，以技术突破驱动生产力革新](https://www.minimaxi.com/news/minimax-m27-zh)
|
||||
|
||||
[ NEW MiniMax Music 2.6 Music Model 翻唱入心，器乐入魂](https://www.minimaxi.com/news/music-26)
|
||||
|
||||
[[Video 2](https://filecdn.minimax.chat/public/023fd855-f068-436a-9f68-372bf643cd91.mp4) NEW Hailuo 2.3 / 2.3 Fast Video Model 动静皆非凡：极致动态，入微传情](https://www.minimaxi.com/news/minimax-hailuo-23)
|
||||
|
||||
[ NEW MiniMax Speech 2.8 Audio Model 赋予 AI 语音"人的温度"](https://www.minimaxi.com/news/minimax-speech-28)
|
||||
|
||||
[ NEW MiniMax M2-her Text Model 多角色沉浸扮演，驾驭长轮次复杂场景](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
|
||||
[ MiniMax MCP Server MCP 视频生成、图像生成、语音生成和声音克隆工具现已向开发者开放](https://www.minimaxi.com/news/minimax-mcp)
|
||||
|
||||
## AI 产品矩阵
|
||||
|
||||
从智能对话到视频创作，从声音合成到虚拟角色，MiniMax 为你打造全方位 AI 体验
|
||||
|
||||
[ MiniMax Agent 简单指令，创意无限](https://agent.minimaxi.com/)
|
||||
|
||||
[ 海螺视频 每个想法都是一部大片](https://hailuoai.com/video)
|
||||
|
||||
[ MiniMax Audio 超拟人AI声音创意](https://hailuoai.com/audio)
|
||||
|
||||
[ NEW 海螺视频Agent Vibe Videoing 零门槛，成片直出](https://www.minimaxi.com/news/video-agent)
|
||||
|
||||
[ 星野 骤入佳境，流连星野](https://www.xingyeai.com/)
|
||||
|
||||
## MiniMax
|
||||
|
||||
全球领先的通用人工智能科技公司
|
||||
|
||||
自2022年初成立以来，我们以"与所有人共创智能"为使命，致力于推动人工智能科技前沿发展，实现通用人工智能（AGI）。MiniMax 自主研发了一系列多模态通用大模型，具备强大的代码和 Agent 能力，以及超长上下文处理能力，能够理解、生成并整合包括文本、音频、图像、视频和音乐在内的多种模态。
|
||||
|
||||
基于这些自研模型，我们面向全球推出一系列 AI 原生产品，包括 MiniMax Agent、海螺AI、MiniMax Audio、星野等，以及面向企业和开发者的开放平台，共同为全球用户提供极致的智能体验。
|
||||
|
||||
0+
|
||||
|
||||
服务国家及地区
|
||||
|
||||
0 亿+
|
||||
|
||||
全球个人用户
|
||||
|
||||
214,000+
|
||||
|
||||
企业客户及开发者
|
||||
|
||||
0+
|
||||
|
||||
企业服务覆盖国家
|
||||
|
||||
|
||||
|
||||
[](mailto:bd@minimax.io "bd@minimax.io")[](https://github.com/MiniMax-AI)[](https://huggingface.co/MiniMaxAI)[](https://discord.gg/DPC4AHFCBw)
|
||||
|
||||
|
||||
|
||||
MiniMax 公众号
|
||||
|
||||
|
||||
|
||||
开平公众号
|
||||
|
||||
|
||||
|
||||
官方交流群
|
||||
|
||||
|
||||
|
||||
飞书交流群
|
||||
|
||||
###### 研究
|
||||
|
||||
* [MiniMax M2.7](https://minimaxi.com/news/minimax-m27-zh)
|
||||
* [MiniMax M2.5](https://minimaxi.com/news/minimax-m25)
|
||||
* [MiniMax M2-her](https://minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
* [MiniMax M2.1](https://minimaxi.com/news/minimax-m21)
|
||||
* [MiniMax M2](https://minimaxi.com/news/minimax-m2)
|
||||
* [MiniMax Speech 2.8](https://minimaxi.com/news/minimax-speech-28)
|
||||
* [MiniMax Hailuo 2.3](https://minimaxi.com/news/minimax-hailuo-23)
|
||||
* [MiniMax Music 2.6](https://minimaxi.com/news/music-26)
|
||||
* [MiniMax Music 2.5+](https://minimaxi.com/news/minimax-music-25-2)
|
||||
* [MiniMax Music 2.0](https://minimaxi.com/news/minimax-music-20)
|
||||
|
||||
###### 产品
|
||||
|
||||
* [Agent](https://agent.minimaxi.com/)
|
||||
* [海螺视频](https://hailuoai.com/video)
|
||||
* [语音](https://www.minimaxi.com/audio)
|
||||
* [星野](https://www.xingyeai.com/)
|
||||
|
||||
###### 开放平台
|
||||
|
||||
* [文档中心](https://platform.minimaxi.com/docs)
|
||||
* [Token Plan](https://platform.minimaxi.com/subscribe/token-plan)
|
||||
* [产品定价](https://platform.minimaxi.com/docs/pricing/overview)
|
||||
* [平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
* [Status](https://status.minimaxi.com/)
|
||||
|
||||
###### 关于我们
|
||||
|
||||
* [公司介绍](https://minimaxi.com/about)
|
||||
* [加入我们](https://minimaxi.com/careers)
|
||||
|
||||
###### 新闻动态
|
||||
|
||||
* [最新资讯](https://minimaxi.com/news)
|
||||
|
||||
©上海稀宇科技有限公司 2026 版权所有[隐私条款](https://platform.minimaxi.com/protocol/privacy-policy)[用户协议](https://platform.minimaxi.com/protocol/user-agreement)[涉企侵权举报专用邮箱](mailto:qinquan@minimaxi.com)
|
||||
|
||||
[沪公网安备 31010402010179号](https://www.beian.gov.cn/portal/registerSystemInfo?recordcode=31010402010179)[沪ICP备2023003282号-38](https://beian.miit.gov.cn/)
|
||||
696
sandbox/2026-05/2026-05-19_minimax_d2c4da46.md
Normal file
696
sandbox/2026-05/2026-05-19_minimax_d2c4da46.md
Normal file
@@ -0,0 +1,696 @@
|
||||
---
|
||||
title: "MiniMax"
|
||||
source_url: https://minimaxi.com
|
||||
source_tool: direct
|
||||
fetched_at: 2026-05-19T14:19:41.407Z
|
||||
---# MiniMax
|
||||
|
||||
MiniMax 模型
|
||||
文本
|
||||
MiniMax M2.7
|
||||
|
||||
MiniMax M2.5
|
||||
|
||||
MiniMax M2-Her
|
||||
|
||||
MiniMax M2.1
|
||||
|
||||
MiniMax M2
|
||||
|
||||
|
||||
|
||||
语音
|
||||
MiniMax Speech 2.8
|
||||
|
||||
MiniMax Speech 2.6
|
||||
|
||||
MiniMax Speech 2.5
|
||||
|
||||
|
||||
|
||||
视频
|
||||
MiniMax Hailuo 2.3 / 2.3 Fast
|
||||
|
||||
MiniMax Hailuo 02
|
||||
|
||||
|
||||
|
||||
音乐
|
||||
MiniMax Music 2.6
|
||||
|
||||
MiniMax Music 2.5+
|
||||
|
||||
MiniMax Music 2.5
|
||||
|
||||
MiniMax Music 2.0
|
||||
|
||||
MiniMax Music 1.5
|
||||
|
||||
|
||||
|
||||
产品
|
||||
AI原生应用
|
||||
MiniMax 桌面版
|
||||
|
||||
Agent
|
||||
|
||||
海螺视频
|
||||
|
||||
语音
|
||||
|
||||
星野
|
||||
|
||||
|
||||
|
||||
开放平台
|
||||
即刻接入AI能力
|
||||
文档中心
|
||||
|
||||
Token Plan
|
||||
|
||||
产品定价
|
||||
|
||||
平台登录
|
||||
|
||||
|
||||
|
||||
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|
||||
|
||||
关于我们
|
||||
与所有人共创智能
|
||||
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|
||||
|
||||
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|
||||
|
||||
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|
||||
|
||||
|
||||
|
||||
EN 登录 API 开放平台
|
||||
MiniMax Agent
|
||||
海螺视频
|
||||
MiniMax 语音
|
||||
|
||||
|
||||
|
||||
|
||||
模型
|
||||
文本
|
||||
MiniMax M2.7 NEW
|
||||
MiniMax M2.5
|
||||
MiniMax M2-Her
|
||||
MiniMax M2.1
|
||||
MiniMax M2
|
||||
|
||||
|
||||
语音
|
||||
MiniMax Speech 2.8 NEW
|
||||
MiniMax Speech 2.6
|
||||
MiniMax Speech 2.5
|
||||
|
||||
|
||||
视频
|
||||
MiniMax Hailuo 2.3 / 2.3 Fast NEW
|
||||
MiniMax Hailuo 02
|
||||
|
||||
|
||||
音乐
|
||||
MiniMax Music 2.6 NEW
|
||||
MiniMax Music 2.5+ NEW
|
||||
MiniMax Music 2.5
|
||||
MiniMax Music 2.0
|
||||
MiniMax Music 1.5
|
||||
|
||||
|
||||
|
||||
|
||||
产品
|
||||
AI原生应用
|
||||
MiniMax 桌面版 NEW
|
||||
Agent NEW
|
||||
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|
||||
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|
||||
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|
||||
|
||||
|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
|
||||
English
|
||||
|
||||
MiniMax
|
||||
Music 2.6
|
||||
|
||||
Cover 翻唱、器乐提升、Agent 集成，让每个人都能成为音乐创作者
|
||||
|
||||
即刻接入API
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
New
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
|
||||
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|
||||
New
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
New
|
||||
Epic
|
||||
Game
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
New
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
Pop
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
New
|
||||
Dance
|
||||
Club
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
New
|
||||
Drive
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
New
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
New
|
||||
Epic
|
||||
Game
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
New
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
Pop
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
New
|
||||
Dance
|
||||
Club
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
New
|
||||
Drive
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
|
||||
即刻接入API
|
||||
|
||||
MiniMax
|
||||
M2.7
|
||||
|
||||
开启模型的自我进化，相比 M2.5 在实战能力上有显著的提升
|
||||
|
||||
即刻接入 API
|
||||
|
||||
立即体验 Agent
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
即刻接入 API
|
||||
|
||||
2025年全年业绩
|
||||
|
||||
迈向AI时代的平台型公司
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
了解更多
|
||||
|
||||
Token
|
||||
Plan
|
||||
|
||||
专为开发者定制的超高性价比 token 套餐
|
||||
|
||||
即刻接入 API
|
||||
|
||||
订阅
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
生产级交付
|
||||
|
||||
|
||||
包月畅用
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
开箱即用
|
||||
一键接入主流开发工具
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
生产级交付
|
||||
|
||||
|
||||
包月畅用
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
开箱即用
|
||||
一键接入主流开发工具
|
||||
|
||||
即刻接入 API
|
||||
|
||||
MiniMax
|
||||
Hailuo 2.3
|
||||
|
||||
动静皆非凡：极致动态，入微传情
|
||||
|
||||
即刻接入 API
|
||||
|
||||
立即体验海螺
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
即刻接入 API
|
||||
|
||||
MiniMax
|
||||
Speech 2.8
|
||||
|
||||
赋予 AI 语音"人的温度"
|
||||
|
||||
即刻接入 API
|
||||
|
||||
立即体验语音
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
即刻接入 API
|
||||
|
||||
MiniMax
|
||||
Agent
|
||||
|
||||
智能助手，为您的工作和生活提供全方位支持。
|
||||
|
||||
桌面版
|
||||
|
||||
立即体验 Agent
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
桌面版
|
||||
|
||||
MiniMax
|
||||
M2-her
|
||||
|
||||
多角色沉浸扮演，驾驭长轮次复杂场景
|
||||
|
||||
即刻接入API
|
||||
|
||||
了解更多
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
即刻接入API
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
全栈模型矩阵
|
||||
涵盖文本、语音、视频、图像与音乐五大方向。助力开发者高效构建智能应用
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
MiniMax M2.7 Text Model
|
||||
|
||||
|
||||
|
||||
|
||||
模型自我进化，以技术突破驱动生产力革新
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
MiniMax Music 2.6 Music Model
|
||||
|
||||
|
||||
|
||||
|
||||
翻唱入心，器乐入魂
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
Hailuo 2.3 / 2.3 Fast Video Model
|
||||
|
||||
|
||||
|
||||
|
||||
动静皆非凡：极致动态，入微传情
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
MiniMax Speech 2.8 Audio Model
|
||||
|
||||
|
||||
|
||||
|
||||
赋予 AI 语音"人的温度"
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
MiniMax M2-her Text Model
|
||||
|
||||
|
||||
|
||||
|
||||
多角色沉浸扮演，驾驭长轮次复杂场景
|
||||
|
||||
|
||||
|
||||
MiniMax MCP Server MCP
|
||||
|
||||
|
||||
|
||||
|
||||
视频生成、图像生成、语音生成和声音克隆工具现已向开发者开放
|
||||
|
||||
|
||||
|
||||
AI 产品矩阵
|
||||
从智能对话到视频创作，从声音合成到虚拟角色，MiniMax 为你打造全方位 AI 体验
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
MiniMax Agent
|
||||
|
||||
|
||||
|
||||
|
||||
简单指令，创意无限
|
||||
|
||||
|
||||
|
||||
海螺视频
|
||||
|
||||
|
||||
|
||||
|
||||
每个想法都是一部大片
|
||||
|
||||
|
||||
|
||||
MiniMax Audio
|
||||
|
||||
|
||||
|
||||
|
||||
超拟人AI声音创意
|
||||
|
||||
|
||||
|
||||
NEW
|
||||
海螺视频Agent
|
||||
|
||||
|
||||
|
||||
|
||||
Vibe Videoing 零门槛，成片直出
|
||||
|
||||
|
||||
|
||||
星野
|
||||
|
||||
|
||||
|
||||
|
||||
骤入佳境，流连星野
|
||||
|
||||
|
||||
|
||||
MiniMax
|
||||
全球领先的通用人工智能科技公司
|
||||
|
||||
自2022年初成立以来，我们以"与所有人共创智能"为使命，致力于推动人工智能科技前沿发展，实现通用人工智能（AGI）。MiniMax 自主研发了一系列多模态通用大模型，具备强大的代码和 Agent 能力，以及超长上下文处理能力，能够理解、生成并整合包括文本、音频、图像、视频和音乐在内的多种模态。
|
||||
基于这些自研模型，我们面向全球推出一系列 AI 原生产品，包括 MiniMax Agent、海螺AI、MiniMax Audio、星野等，以及面向企业和开发者的开放平台，共同为全球用户提供极致的智能体验。
|
||||
|
||||
0 +
|
||||
服务国家及地区
|
||||
|
||||
0 亿+
|
||||
全球个人用户
|
||||
|
||||
214,000 +
|
||||
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|
||||
|
||||
0 +
|
||||
企业服务覆盖国家
|
||||
@@ -0,0 +1,148 @@
|
||||
---
|
||||
title: "URL Source: https://m.36kr.com/hot-list"
|
||||
source_url: https://m.36kr.com/hot-list
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T16:09:16.484Z
|
||||
---# URL Source: https://m.36kr.com/hot-list
|
||||
|
||||
Published Time: 2026-05-20T00:09:08+08:00
|
||||
|
||||
Warning: Target URL returned error 404: Not Found
|
||||
|
||||
|
||||
|
||||
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File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -0,0 +1,301 @@
|
||||
---
|
||||
title: "What Is Prompt Caching? LLM Speed & Cost Guide"
|
||||
source_url: https://redis.io/blog/what-is-prompt-caching/
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T13:45:13.381Z
|
||||
---# What Is Prompt Caching? LLM Speed & Cost Guide
|
||||
|
||||
Published Time: 2026-03-11T20:31:38.000Z
|
||||
|
||||
# What Is Prompt Caching? LLM Speed & Cost Guide
|
||||
[](https://redis.io/blog/what-is-prompt-caching/)Skip to:
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||||
Your agents aren't failing. Their context is.
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||||
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||||
[See how we fix it](https://redis.io/iris/)
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||||
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||||
[](https://redis.io/)
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[Redis Iris](https://redis.io/iris/)
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|
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||||
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||||
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[Back to blog](https://redis.io/en/blog/)
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||||
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||||
Blog
|
||||
|
||||
# What is prompt caching? LLM speed & cost guide
|
||||
|
||||
March 10, 2026 9 minute read
|
||||
|
||||
[](https://redis.io/blog/author/jim-allenwallaceredis-com/)
|
||||
|
||||
|
||||
|
||||
Jim Allen Wallace
|
||||
|
||||
If you're building with large language models (LLMs) in production, you've probably noticed two things: latency spikes that make your app feel sluggish, and token costs that climb faster than you expected. Most of these problems come down to redundant computation, and the right caching strategy can cut both latency and spend without changing your models.
|
||||
|
||||
Prompt caching stores the computational state from an LLM's attention layers so the model can skip redundant prefill work on repeated prompt prefixes. The result: lower time-to-first-token (TTFT) and cheaper input costs on every request that hits the cache for a shared prefix.
|
||||
|
||||
This guide covers how prompt caching works at the model layer, how it differs from regular and semantic caching, where each approach fits in your architecture, and how to combine them with Redis for maximum cost and latency reduction.
|
||||
|
||||
## **Why LLM apps get slow & expensive at scale**
|
||||
|
||||
Every LLM request goes through two latency phases: time to first token (TTFT), which measures how long the model takes to start responding, and time to last token (TTLT), which captures the full generation time. Both get worse as your prompts get longer. A long system prompt increases TTFT because the model processes every token through its attention mechanism before producing any output. That "prefill" computation is expensive, and it runs on every single request.
|
||||
|
||||
Then there's the cost side. Across major providers, output tokens typically cost [several times more](https://openai.com/api/pricing) than input tokens, with ratios typically ranging from 3x to 5x for standard models, and up to 8x for premium or reasoning models. A 10,000-token system prompt repeated across 50,000 monthly conversations adds up fast, and that's before you count the output tokens you're paying a premium for.
|
||||
|
||||
At scale, these costs compound alongside operational complexity: more concurrent users, more state to manage, more systems to coordinate. The good news is that a layered caching strategy can address both the latency and cost problems. And it starts with understanding prompt caching.
|
||||
|
||||
## **What is prompt caching in LLMs?**
|
||||
|
||||
When an LLM processes your prompt, it generates key-value (KV) cache entries in its attention layers—mathematical representations of the relationships between tokens. Normally, the model recomputes this KV cache on every request. Prompt caching stores it so the model can skip that computation on subsequent requests that share the same prefix. The model still generates a fresh response every time; it's the redundant prefill work that gets cut. This is a [provider-managed feature](https://platform.openai.com/docs/guides/prompt-caching) built into the LLM API, not something you build yourself.
|
||||
|
||||
The main constraint is prefix matching. Prompt caching works by comparing the beginning of your current prompt against what's already cached. If the cached prefix and your new prompt are exactly identical (token-for-token) up to a certain point, the model reuses the cached computation for that portion and only processes new tokens from where the match ends. A single token change anywhere in the prefix breaks the match from that point forward.
|
||||
|
||||
Major LLM providers each handle this differently. Anthropic offers both automatic caching and explicit `cache_control` markers, with cache reads priced at [0.1x the base input cost](https://docs.anthropic.com/en/docs/about-claude/pricing)—a 90% discount. OpenAI's prompt caching [is automatic](https://developers.openai.com/api/docs/guides/prompt-caching/) on prompts over 1,024 tokens, with cached-input discounts that [vary by model](https://developers.openai.com/cookbook/examples/prompt_caching_201/) and go up to 90% on newer models. Optional parameters like `prompt_cache_retention` (for extended 24-hour caching) and `prompt_cache_key` (for routing control) are available for optimization. Google supports [context caching](https://ai.google.dev/gemini-api/docs/caching) through both the Gemini Developer API (Google AI Studio) and [Vertex AI](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview), with implicit caching enabled by default on Gemini 2.5 models. Cache discounts and implementation details vary by provider and model.
|
||||
|
||||
## **How does prompt caching actually speed up LLM apps?**
|
||||
|
||||
Once you know what prompt caching stores, the next question is what you get back: lower TTFT and cheaper input tokens. The performance gains scale with prompt length:
|
||||
|
||||
* A 1,024-token prompt saw [7% TTFT improvement](https://developers.openai.com/cookbook/examples/prompt_caching_201/), while prompts over 150,000 tokens hit 67% faster TTFT. The longer your shared prefix, the bigger the payoff.
|
||||
* In one [book-chat benchmark](https://www.anthropic.com/news/prompt-caching), a 100,000-token cached prompt reduced TTFT by ~79% and cached input token costs by 90%.
|
||||
* Anthropic's documentation claims [up to 85%](https://www-cdn.anthropic.com/9c214a37d0a41f458ba04e680ee09da719ad52da.pdf) latency reduction for long prompts.
|
||||
* [Bedrock preview materials](https://aws.amazon.com/blogs/aws/reduce-costs-and-latency-with-amazon-bedrock-intelligent-prompt-routing-and-prompt-caching-preview/) cite similar directional numbers—up to 85% lower latency and up to 90% lower costs on supported models.
|
||||
|
||||
The takeaway across providers: prompt caching targets input-side computation. It reduces TTFT and cuts the cost of repeated prefixes, but you still pay full price for output tokens. The biggest savings come from long, stable prefixes that get reused across many requests. Some engineering teams treat cache hit rate like an uptime metric, declaring SEVs when it drops.
|
||||
|
||||
## **How is prompt caching different from regular & semantic caching?**
|
||||
|
||||
Prompt caching is one of three caching layers you'll use in production. They operate at different levels of the LLM stack and are meant to work together, not replace each other.
|
||||
|
||||
* **Regular (exact-match) caching** stores full LLM responses keyed by an exact string hash. If someone asks the identical question twice, word for word, you return the stored response instantly. Natural language rarely repeats exactly, though, so [hit rates](https://thenewstack.io/what-is-semantic-caching/) for user-facing apps tend to be low. This layer works best for templated or programmatic queries.
|
||||
* **Semantic caching** converts queries into vector embeddings (numerical representations of meaning) and compares them against cached vectors using cosine similarity. If the similarity exceeds a configured threshold, the cached response is returned without calling the LLM at all. "Tell me about our Q3 revenue" and "What was our revenue in the third quarter?" would hit the same cache entry, saving you the full cost of that LLM call.
|
||||
* **Prompt caching** operates at the model layer and doesn't bypass the LLM—you still pay for output tokens. What it cuts is the redundant prefill computation on shared input prefixes.
|
||||
|
||||
The key cost difference: semantic caching bypasses LLM calls entirely on cache hits, saving both input and output token costs. Prompt caching only reduces input-side costs. That makes semantic caching generally [more cost-effective](https://aws.amazon.com/blogs/database/optimize-llm-response-costs-and-latency-with-effective-caching/) for workloads where users ask similar questions in different ways, while prompt caching helps more with genuinely novel queries that share a long prefix. Redis supports both exact-match and [semantic caching](https://redis.io/docs/latest/develop/ai/langcache/) with vector search, so you can run all three layers from a single platform.
|
||||
|
||||
## **Where should you use prompt caching in your LLM architecture?**
|
||||
|
||||
Because prompt caching relies on prefix matching, it works best when you structure prompts with [stable content first](https://aws.amazon.com/blogs/machine-learning/effectively-use-prompt-caching-on-amazon-bedrock/) and variable content last. The more of your prefix that stays identical across requests, the higher your cache hit rate.
|
||||
|
||||
A common ordering that tends to maximize cache reuse:
|
||||
|
||||
1. [**Tool/function definitions:**](https://platform.claude.com/docs/en/build-with-claude/prompt-caching) Most stable, rarely change
|
||||
2. **System prompt:** Stable per deployment
|
||||
3. **Reference documents:** Stable per session or task
|
||||
4. **Conversation history:** Grows, but older turns stay fixed
|
||||
5. **User query:** Almost always changes, so it goes last
|
||||
|
||||
This ordering is one of the simplest ways to improve cache hit rate, and it's worth designing around early rather than retrofitting later.
|
||||
|
||||
### **RAG pipelines**
|
||||
|
||||
Prompt caching tends to work well in retrieval-augmented generation (RAG) setups where multiple users query the same knowledge base. Caching the system instructions and retrieved document chunks means the model skips prefill on the shared context for each new question. The payoff is highest when users ask [several questions](https://aws.amazon.com/blogs/machine-learning/effectively-use-prompt-caching-on-amazon-bedrock/) about the same document. When retrieved chunks change with every query, though, the prefix changes too, and cache reuse drops.
|
||||
|
||||
### **Multi-turn chatbots**
|
||||
|
||||
System instructions in chatbots often run to thousands of tokens of behavioral guidelines, and they stay the same across every turn. Caching that prefix and letting conversation history and user messages stay dynamic is one of the simpler wins. This is especially valuable in long conversations, where session costs can vary widely depending on cache hit rate and token usage.
|
||||
|
||||
### **Agentic systems**
|
||||
|
||||
In long-horizon agentic systems, the system prompt is typically where teams see the most consistent caching benefits because it's both large and stable. More dynamic components like tool outputs and retrieved context tend to vary across runs, which can reduce cache reuse given the [prefix-matching constraint](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching). Caching the system prompt is still worth it; just don't expect the same hit rates you'd see in a chatbot with a fixed prefix.
|
||||
|
||||
### **Cache-breaking anti-patterns**
|
||||
|
||||
Watch for subtle cache breakers: timestamps in system prompts ("Today is {{date}}"), session identifiers in static sections, user-specific information in the prompt header, and dynamic tool definitions that change per user. Even a capitalization change can wipe out thousands of tokens of cached computation, so it's worth auditing your prompts for anything that changes between requests in sections you expect to be stable.
|
||||
|
||||
## **How to combine prompt caching with semantic caching**
|
||||
|
||||
Once prompt caching is handling your shared prefixes, you can stack it with response-level caching to cover more of your traffic. Production systems that [combine these layers](https://aws.amazon.com/blogs/database/optimize-llm-response-costs-and-latency-with-effective-caching/) into a caching hierarchy tend to get the broadest cost and latency coverage.
|
||||
|
||||
The layers stack like this: exact-match caching catches identical repeats, semantic caching catches paraphrased queries via vector similarity, and prompt caching optimizes the novel queries that still need the LLM. On cache hits, the first two layers bypass LLM calls entirely—the third reduces the cost of calls that have to happen. Together, they cover the full spectrum of query patterns.
|
||||
|
||||
Redis fits naturally across all three layers. [Redis LangCache](https://redis.io/docs/latest/develop/ai/langcache/) is a fully managed semantic caching service with integrated embedding generation, configurable similarity controls, and built-in cache hit rate monitoring. Teams that want more control can use [RedisVL's SemanticCache](https://redis.io/docs/latest/develop/ai/redisvl/user_guide/llmcache/), a self-managed Python library with distance threshold tuning and time-to-live (TTL)-based expiration. Redis also integrates with LangChain and LangGraph for vector storage and related AI workflows via its [ecosystem integrations](https://redis.io/docs/latest/develop/ai/ecosystem-integrations/).
|
||||
|
||||
Teams typically start with a [high similarity threshold](https://redis.io/blog/what-is-semantic-caching/) and adjust based on their query patterns. Note that RedisVL's SemanticCache uses cosine distance (where lower = more similar), so a 0.95 cosine similarity translates to a 0.05 distance threshold. Higher similarity thresholds [reduce false hits](https://redis.io/blog/large-language-model-operations-guide/) but lower cache reuse; lower thresholds catch more queries but risk serving incorrect responses. The right value depends on your domain and query distribution.
|
||||
|
||||
This layered approach tends to provide the most value for workloads with [meaningful semantic overlap](https://redis.io/blog/large-language-model-operations-guide/) in queries—customer support, FAQ bots, and internal tools are good examples. For workloads with less repetition, the exact-match and prompt caching layers still deliver value, and semantic caching can be added later as query patterns [become clearer](https://redis.io/blog/large-language-model-operations-guide/).
|
||||
|
||||
## **Faster LLM apps require layered caching**
|
||||
|
||||
Each caching layer solves a different part of the cost and latency problem. Stacking them into a layered architecture covers the full range of query patterns, from exact repeats to paraphrased questions to genuinely novel requests.
|
||||
|
||||
Redis combines [vector search](https://redis.io/docs/latest/develop/ai/), semantic caching, and in-memory data structures in a single platform with sub-millisecond latency—so your semantic cache, session state, vector storage, and operational data all run on the same infrastructure. Whether you're building chatbots, RAG pipelines, or [agentic systems](https://redis.io/guides/ai-agents-infrastructure/), the same platform scales across all of them.
|
||||
|
||||
[Try Redis free](https://redis.io/try-free/) to test semantic caching with your own query patterns, or [talk to the team](https://redis.io/meeting/) about optimizing your LLM infrastructure costs.
|
||||
|
||||
Sections
|
||||
|
||||
[Why LLM apps get slow & expensive at scale](https://redis.io/blog/what-is-prompt-caching/#Why_LLM_apps_get_slow_and_expensive_at_scale)
|
||||
|
||||
[What is prompt caching in LLMs?](https://redis.io/blog/what-is-prompt-caching/#What_is_prompt_caching_in_LLMs)
|
||||
|
||||
[How does prompt caching actually speed up LLM apps?](https://redis.io/blog/what-is-prompt-caching/#How_does_prompt_caching_actually_speed_up_LLM_apps)
|
||||
|
||||
[How is prompt caching different from regular & semantic caching?](https://redis.io/blog/what-is-prompt-caching/#How_is_prompt_caching_different_from_regular_and_semantic_caching)
|
||||
|
||||
[Where should you use prompt caching in your LLM architecture?](https://redis.io/blog/what-is-prompt-caching/#Where_should_you_use_prompt_caching_in_your_LLM_architecture)
|
||||
|
||||
[RAG pipelines](https://redis.io/blog/what-is-prompt-caching/#RAG_pipelines)[Multi-turn chatbots](https://redis.io/blog/what-is-prompt-caching/#Multiturn_chatbots)[Agentic systems](https://redis.io/blog/what-is-prompt-caching/#Agentic_systems)[Cache-breaking anti-patterns](https://redis.io/blog/what-is-prompt-caching/#Cachebreaking_antipatterns)
|
||||
|
||||
[How to combine prompt caching with semantic caching](https://redis.io/blog/what-is-prompt-caching/#How_to_combine_prompt_caching_with_semantic_caching)
|
||||
|
||||
[Faster LLM apps require layered caching](https://redis.io/blog/what-is-prompt-caching/#Faster_LLM_apps_require_layered_caching)
|
||||
|
||||
[View as Markdown](https://redis.io/blog/what-is-prompt-caching.md)
|
||||
|
||||
Share
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[](https://www.linkedin.com/sharing/share-offsite/?url=https://redis.io/blog/what-is-prompt-caching/)[](https://www.facebook.com/sharer/sharer.php?u=https://redis.io/blog/what-is-prompt-caching/)[](https://twitter.com/intent/tweet?url=https://redis.io/blog/what-is-prompt-caching/)
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|
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## Get started with Redis today
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Speak to a Redis expert and learn more about enterprise-grade Redis today.
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[Try for free](https://redis.io/try-free/)[Talk to sales](https://redis.io/meeting/)
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Use cases
|
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|
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[Vector database](https://redis.io/solutions/vector-database/)[Feature Form](https://redis.io/feature-form/)[Semantic cache](https://redis.io/redis-for-ai/)[Caching](https://redis.io/solutions/caching/)[NoSQL database](https://redis.io/nosql/what-is-nosql/)[Leaderboards](https://redis.io/solutions/leaderboards/)[Data deduplication](https://redis.io/solutions/deduplication/)[Messaging](https://redis.io/solutions/messaging/)[Authentication token storage](https://redis.io/solutions/authentication-token-storage/)[Fast data ingest](https://redis.io/solutions/fast-data-ingest/)[Redis Search](https://redis.io/query-engine/)[All solutions](https://redis.io/solutions/)
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Compare
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[Redis vs. ElastiCache](https://redis.io/compare/elasticache/)[Redis vs. Memcached](https://redis.io/compare/memcached/)[Redis vs. Memorystore](https://redis.io/compare/memorystore/)[Redis vs. Redis Open Source](https://redis.io/compare/open-source/)
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||||
Accept More Info
|
||||
|
||||
|
||||
@@ -0,0 +1,106 @@
|
||||
---
|
||||
title: "Your First API Call | DeepSeek API Docs"
|
||||
source_url: https://api-docs.deepseek.com/
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-19T14:19:21.000Z
|
||||
---# Your First API Call | DeepSeek API Docs
|
||||
|
||||
Published Time: Mon, 11 May 2026 13:19:46 GMT
|
||||
|
||||
# Your First API Call | DeepSeek API Docs
|
||||
|
||||
[Skip to main content](https://api-docs.deepseek.com/#__docusaurus_skipToContent_fallback)
|
||||
|
||||
[ **DeepSeek API Docs**](https://api-docs.deepseek.com/)
|
||||
|
||||
[English](https://api-docs.deepseek.com/#)
|
||||
* [English](https://api-docs.deepseek.com/)
|
||||
* [中文（中国）](https://api-docs.deepseek.com/zh-cn/)
|
||||
|
||||
[DeepSeek Platform](https://platform.deepseek.com/)
|
||||
|
||||
* [Quick Start](https://api-docs.deepseek.com/#)
|
||||
* [Your First API Call](https://api-docs.deepseek.com/)
|
||||
* [Models & Pricing](https://api-docs.deepseek.com/quick_start/pricing)
|
||||
* [Token & Token Usage](https://api-docs.deepseek.com/quick_start/token_usage)
|
||||
* [Rate Limit](https://api-docs.deepseek.com/quick_start/rate_limit)
|
||||
* [Error Codes](https://api-docs.deepseek.com/quick_start/error_codes)
|
||||
* [Agent Integrations](https://api-docs.deepseek.com/#)
|
||||
|
||||
* [API Guides](https://api-docs.deepseek.com/#)
|
||||
* [Thinking Mode](https://api-docs.deepseek.com/guides/thinking_mode)
|
||||
* [Multi-round Conversation](https://api-docs.deepseek.com/guides/multi_round_chat)
|
||||
* [Chat Prefix Completion (Beta)](https://api-docs.deepseek.com/guides/chat_prefix_completion)
|
||||
* [FIM Completion (Beta)](https://api-docs.deepseek.com/guides/fim_completion)
|
||||
* [JSON Output](https://api-docs.deepseek.com/guides/json_mode)
|
||||
* [Tool Calls](https://api-docs.deepseek.com/guides/tool_calls)
|
||||
* [Context Caching](https://api-docs.deepseek.com/guides/kv_cache)
|
||||
* [Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api)
|
||||
|
||||
* [API Reference](https://api-docs.deepseek.com/#)
|
||||
* [News](https://api-docs.deepseek.com/#)
|
||||
* [Other Resources](https://api-docs.deepseek.com/#)
|
||||
* [FAQ](https://api-docs.deepseek.com/faq)
|
||||
* [Change Log](https://api-docs.deepseek.com/updates)
|
||||
|
||||
* [](https://api-docs.deepseek.com/)
|
||||
* Quick Start
|
||||
* Your First API Call
|
||||
|
||||
On this page
|
||||
|
||||
# Your First API Call
|
||||
|
||||
The DeepSeek API uses an API format compatible with OpenAI/Anthropic. By modifying the configuration, you can use the OpenAI/Anthropic SDK or softwares compatible with the OpenAI/Anthropic API to access the DeepSeek API.
|
||||
|
||||
| PARAM | VALUE |
|
||||
| --- | --- |
|
||||
| base_url (OpenAI) | `https://api.deepseek.com` |
|
||||
| base_url (Anthropic) | `https://api.deepseek.com/anthropic` |
|
||||
| api_key | apply for an [API key](https://platform.deepseek.com/api_keys) |
|
||||
| model* | `deepseek-v4-flash` `deepseek-v4-pro` `deepseek-chat` (to be deprecated on 2026/07/24) `deepseek-reasoner` (to be deprecated on 2026/07/24) |
|
||||
|
||||
* The model names `deepseek-chat` and `deepseek-reasoner` will be deprecated on 2026/07/24. For compatibility, they correspond to the non-thinking mode and thinking mode of `deepseek-v4-flash`, respectively.
|
||||
|
||||
## Integrate with Agent Tools[](https://api-docs.deepseek.com/#integrate-with-agent-tools "Direct link to Integrate with Agent Tools")
|
||||
|
||||
The DeepSeek API is supported by many popular AI agent and coding assistant tools. If you use tools like Claude Code, GitHub Copilot, or OpenCode, you can use DeepSeek as the backend model directly — no code required.
|
||||
|
||||
See the [Agent Integrations Guide](https://api-docs.deepseek.com/quick_start/agent_integrations/claude_code) for details.
|
||||
|
||||
## Invoke The Chat API[](https://api-docs.deepseek.com/#invoke-the-chat-api "Direct link to Invoke The Chat API")
|
||||
|
||||
Once you have obtained an API key, you can access the DeepSeek model using the following example scripts in the OpenAI API format. This is a non-stream example, you can set the `stream` parameter to `true` to get stream response.
|
||||
|
||||
For examples using the Anthropic API format, please refer to [Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api).
|
||||
|
||||
* curl
|
||||
* python
|
||||
* nodejs
|
||||
|
||||
`curl https://api.deepseek.com/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DEEPSEEK_API_KEY}" \ -d '{ "model": "deepseek-v4-pro", "messages": [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"} ], "thinking": {"type": "enabled"}, "reasoning_effort": "high", "stream": false }'`
|
||||
|
||||
`# Please install OpenAI SDK first: `pip3 install openai`import osfrom openai import OpenAIclient = OpenAI( api_key=os.environ.get('DEEPSEEK_API_KEY'), base_url="https://api.deepseek.com")response = client.chat.completions.create( model="deepseek-v4-pro", messages=[ {"role": "system", "content": "You are a helpful assistant"}, {"role": "user", "content": "Hello"}, ], stream=False, reasoning_effort="high", extra_body={"thinking": {"type": "enabled"}})print(response.choices[0].message.content)`
|
||||
|
||||
`// Please install OpenAI SDK first: `npm install openai`import OpenAI from "openai";const openai = new OpenAI({ baseURL: 'https://api.deepseek.com', apiKey: process.env.DEEPSEEK_API_KEY,});async function main() { const completion = await openai.chat.completions.create({ messages: [{ role: "system", content: "You are a helpful assistant." }], model: "deepseek-v4-pro", thinking: {"type": "enabled"}, reasoning_effort: "high", stream: false, }); console.log(completion.choices[0].message.content);}main();`
|
||||
|
||||
[Next Models & Pricing](https://api-docs.deepseek.com/quick_start/pricing)
|
||||
|
||||
* [Integrate with Agent Tools](https://api-docs.deepseek.com/#integrate-with-agent-tools)
|
||||
* [Invoke The Chat API](https://api-docs.deepseek.com/#invoke-the-chat-api)
|
||||
|
||||
WeChat Official Account
|
||||
|
||||
* 
|
||||
|
||||
Community
|
||||
|
||||
* [Email](mailto:api-service@deepseek.com)
|
||||
* [Discord](https://discord.gg/Tc7c45Zzu5)
|
||||
* [Twitter](https://twitter.com/deepseek_ai)
|
||||
|
||||
More
|
||||
|
||||
* [GitHub](https://github.com/deepseek-ai)
|
||||
|
||||
Copyright © 2026 DeepSeek, Inc.
|
||||
9291
sandbox/2026-05/2026-05-19_今日热榜_61e0997f.md
Normal file
9291
sandbox/2026-05/2026-05-19_今日热榜_61e0997f.md
Normal file
File diff suppressed because it is too large
Load Diff
554
sandbox/2026-05/2026-05-20_36氪_让一部分人先看到未来_2a9abc89.md
Normal file
554
sandbox/2026-05/2026-05-20_36氪_让一部分人先看到未来_2a9abc89.md
Normal file
@@ -0,0 +1,554 @@
|
||||
---
|
||||
title: "36氪_让一部分人先看到未来"
|
||||
source_url: https://www.36kr.com
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-20T06:00:51.556Z
|
||||
---# 36氪_让一部分人先看到未来
|
||||
|
||||
Published Time: 2026-05-20T13:37:44+08:00
|
||||
|
||||
# 36氪_让一部分人先看到未来
|
||||
|
||||
|
||||
|
||||
[](https://www.36kr.com/usercenter/basicinfo)[账号设置](https://www.36kr.com/usercenter/account-password "账号设置")[我的关注](https://www.36kr.com/usercenter/follow "我的关注")[我的收藏](https://www.36kr.com/usercenter/favorite "我的收藏")[申请的报道](https://www.36kr.com/seek-report-new?tabKey=2 "申请的报道")[退出登录](https://www.36kr.com/ "退出登录")
|
||||
|
||||
登录
|
||||
|
||||
搜索
|
||||
|
||||
* [36氪Auto](https://img.36krcdn.com/hsossms/20230605/v2_384be8e4c1e942a28cf13a2e427fe211@18900718_oswg78404oswg320oswg320_img_png) [数字时氪](https://img.36krcdn.com/hsossms/20230605/v2_636063907bdc44389b46e7db9c761a38@18900718_oswg62424oswg320oswg320_img_png) [未来消费](https://img.36krcdn.com/hsossms/20230210/v2_38d1cdabc8404b00806de58cbedb3b7b_oswg27031oswg320oswg320_img_png) [智能涌现](https://img.36krcdn.com/hsossms/20230605/v2_da74c43ba887426f8fbccaede691b844@18900718_oswg76573oswg320oswg320_img_png) [未来城市](https://img.36krcdn.com/hsossms/20230209/v2_8c2233c88a854c6496ff4f7842a9f9dd_oswg17629oswg320oswg320_img_png) [启动Power on](https://img.36krcdn.com/hsossms/20230605/v2_632f36f1c5904a539a1e57efe4497e3a@18900718_oswg63630oswg320oswg320_img_png) [36氪出海](http://letschuhai.com/) [36氪研究院](https://img.36krcdn.com/hsossms/20230605/v2_89fa42090fae495ca5e45ba921ee42ff@18900718_oswg65306oswg320oswg320_img_png) [潮生TIDE](https://img.36krcdn.com/hsossms/20231204/v2_3b8447ffdda24a38a30fd839fd934baa@000000_oswg40121oswg430oswg430_img_jpeg) [36氪企服点评](https://img.36krcdn.com/hsossms/20230605/v2_c4720503500642d294b5be04064ef870@18900718_oswg58529oswg320oswg320_img_png) [36氪财经](https://img.36krcdn.com/hsossms/20230209/v2_d6d3f8b57fa04507915c48adf0f9620d_oswg16586oswg320oswg320_img_png) [职场bonus](https://img.36krcdn.com/hsossms/20230605/v2_efc94b0cce7043dbac883c1dfe00c810@18900718_oswg57046oswg320oswg320_img_png) [36碳](https://img.36krcdn.com/hsossms/20230209/v2_9eb02027be264174b61b9d49c391ca75_oswg15571oswg320oswg320_img_png) [后浪研究所](https://img.36krcdn.com/hsossms/20230605/v2_86f220b69e164751946d583b5472c857@18900718_oswg97988oswg320oswg320_img_png) [暗涌Waves](https://img.36krcdn.com/hsossms/20230209/v2_0c6a697748b54beea356d6e1f1fcec5f_oswg17066oswg320oswg320_img_png) [硬氪](https://img.36krcdn.com/hsossms/20230209/v2_2f845ed16244458d8887a5526c63c6d6_oswg17346oswg320oswg320_img_png) [氪睿研究院](https://img.36krcdn.com/hsossms/20251118/v2_d5e97c1ebb974011b0117c1338a9c747@000000_oswg146520oswg1280oswg1280_img_jpg) 媒体品牌
|
||||
* [企业号](https://q.36kr.com/) [企服点评](https://www.36dianping.com/) [36Kr研究院](https://36kr.com/academe) [36Kr创新咨询](https://innovation.36kr.com/) 企业服务
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* [核心服务](https://www.36kr.com/p/2492318105786505) [城市之窗](https://36kr.com/policy) 政府服务
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* [创投发布](https://topics.36kr.com/topic/1645523444931974) [LP源计划](https://36kr.com/LPlan) [VClub](https://36kr.com/VClub) [VClub投资机构库](https://36kr.com/organization/) [投资机构职位推介](https://36kr.com/topics/1620276089894403) [投资人认证](https://pitchhub.36kr.com/audit-investor) 投资人服务
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||||
* [寻求报道](https://36kr.com/seek-report-new) [36氪Pro](https://img.36krcdn.com/hsossms/20230209/v2_95565530d4d94dc4ad904f3131c7b690_oswg23055oswg320oswg320_img_png) [创投氪堂](https://topics.36kr.com/topic/1961250130199045) [企业入驻](https://36kr.com/project-form/settled) 创业者服务
|
||||
* 创投平台
|
||||
* AI测评网
|
||||
|
||||
[](https://36kr.com/topics/799051634713857)[](http://www.bjjubao.org.cn/node_1606.html)[](ttps://36kr.com/topics/799051634713857)
|
||||
|
||||
[](https://www.36kr.com/)
|
||||
|
||||
* [首页](https://www.36kr.com/)
|
||||
* [快讯](https://www.36kr.com/newsflashes/)
|
||||
* [资讯](https://www.36kr.com/information/web_news/)
|
||||
|
||||
* [推荐](https://www.36kr.com/information/web_recommend/)
|
||||
* [财经](https://www.36kr.com/information/ccs/)
|
||||
* [AI](https://www.36kr.com/information/AI/)
|
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* [自助报道](https://www.36kr.com/information/aireport/)
|
||||
* [城市](https://www.36kr.com/)
|
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||||
* [最新](https://www.36kr.com/information/web_news/latest/)
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* [创投](https://www.36kr.com/information/contact/)
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* [汽车](https://www.36kr.com/information/travel/)
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* [科技](https://www.36kr.com/information/technology/)
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||||
* [专精特新](https://www.36kr.com/information/shuzihua/)
|
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||||
* [直播](https://www.36kr.com/live/channel)
|
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* [视频](https://www.36kr.com/video/)
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||||
* [专题](https://www.36kr.com/topics/)
|
||||
* [活动](https://www.36kr.com/activity)
|
||||
|
||||
搜索
|
||||
|
||||
[寻求报道](https://www.36kr.com/seek-report-new?t=1779255464856)
|
||||
|
||||
我要入驻
|
||||
|
||||
[城市合作](https://www.36kr.com/station-business)
|
||||
|
||||
[](https://www.36kr.com/p/3816839373456520)[谷歌用 AI“杀死”谷歌，这场发布会看得人缺氧](https://www.36kr.com/p/3816839373456520)
|
||||
|
||||
[](https://www.36kr.com/p/3709756082466949)[理想新L9上市72小时：老车主复购占大头，仍需从“家庭”破圈](https://www.36kr.com/p/3709756082466949)
|
||||
|
||||
[](https://www.36kr.com/p/3814411349581316)[做出百万台割草机器人后，未岚大陆CEO决定让自己变得“不重要”｜硬氪专访](https://www.36kr.com/p/3814411349581316)
|
||||
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||||
[](https://www.36kr.com/p/3777870287737860)[36氪官方AI专属社群，正式开放招募！](https://www.36kr.com/p/3777870287737860)
|
||||
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||||
商业视角[OPC原型验证进入「秒级时代」](https://adx.36kr.com/api/ad/click?sign=94b38338905ce878105edbadfe19696a¶m.redirectUrl=aHR0cHM6Ly8zNmtyLmNvbS9wLzM4MTY5OTk3MzIyOTg2MzM¶m.adsdk=ADhXaa5JWQcZ7lw-DW8EII7wPSsUBN95RT8g15M34wo_VQTQxxZtfx50w58qxy_WdcXIQy0NHh3Ftb7wHo_lXA)
|
||||
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[](https://www.36kr.com/p/3787661080714497)[【重磅官宣】36氪企业全情报・官方股票舆情情报社群正式对外开放](https://www.36kr.com/p/3787661080714497)
|
||||
|
||||
[](https://www.36kr.com/p/3816839373456520)[谷歌用 AI“杀死”谷歌，这场发布会看得人缺氧](https://www.36kr.com/p/3816839373456520)
|
||||
|
||||
[](https://www.36kr.com/p/3709756082466949)[理想新L9上市72小时：老车主复购占大头，仍需从“家庭”破圈](https://www.36kr.com/p/3709756082466949)
|
||||
|
||||
* [要做数字劳动力生产工厂，「未来式智能」完成Pre-A轮融资](https://www.36kr.com/p/3816909945029760)
|
||||
* [早期项目 | Chance AI获美图等数百万美元投资，用户数已达20万](https://www.36kr.com/p/3816947890471812)
|
||||
* [高瓴出手了一家AI体育科技公司，曾获李泽湘天使轮融资｜硬氪首发](https://www.36kr.com/p/3805660478184966)
|
||||
* 商业视角[生活服务，快手的208种答案](https://adx.36kr.com/api/ad/click?sign=a6e791a31fed074900deb2ded40e2e93¶m.redirectUrl=aHR0cHM6Ly8zNmtyLmNvbS9wLzM4MTU2MDM1NjMxOTIwNzE¶m.adsdk=idjieXwQV4r-pZ1DPguLYbM4oJRyPsWSnSTdwcx6TbDgfJSbSGYsr8rNoYT4aF4AiwHZBZarNJfpS7syB95XVw)
|
||||
|
||||
最新文章[](https://36kr.com/p/q/2119855891212345)
|
||||
|
||||
[职场](https://www.36kr.com/information/web_zhichang)[](https://www.36kr.com/p/3816398320403587)
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||||
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||||
[一年涨粉百万，专访留守老人的@大森子 火了?](https://www.36kr.com/p/3816398320403587)
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||||
[一个回乡年轻人的选择](https://www.36kr.com/p/3816398320403587)
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||||
来自主题：[年轻人啊](https://www.36kr.com/motif/327685652481)|[TopKlout克劳锐](https://www.36kr.com/user/19610626)20分钟前
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||||
[科技](https://www.36kr.com/information/technology)[](https://www.36kr.com/p/3817098575421446)
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||||
[Coding的本质=强化学习+合成数据+万卡算力？](https://www.36kr.com/p/3817098575421446)
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||||
[来自Composer 2.5的讯号](https://www.36kr.com/p/3817098575421446)
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||||
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||||
来自主题：[人工智能·AI](https://www.36kr.com/motif/327686782977)|[硅基星芒](https://www.36kr.com/user/6274426)52分钟前
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[推荐](https://www.36kr.com/information/web_recommend)[](https://www.36kr.com/p/3817063099974528)
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[全固态电池卷疯了，深扒7份重磅论文专利，量产三大难关正被解决](https://www.36kr.com/p/3817063099974528)
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||||
[固态电池的量产困境，正在被逐步解决。](https://www.36kr.com/p/3817063099974528)
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来自主题：[这些产品动向值得关注](https://www.36kr.com/motif/327686586369)|[智东西](https://www.36kr.com/user/453363432)1小时前
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||||
[消费](https://www.36kr.com/information/happy_life)[](https://www.36kr.com/p/3817039069110274)
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[万店餐饮巨头，集体围剿瑞幸](https://www.36kr.com/p/3817039069110274)
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[咖啡进入“三国杀”时代。](https://www.36kr.com/p/3817039069110274)
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来自主题：[关于消费的一切](https://www.36kr.com/motif/327685832705)|[红餐网](https://www.36kr.com/user/5265833)1小时前
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专题推荐[查看更多](https://www.36kr.com/topics)
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* [苹果到底需要什么？ 2026年4月21日，苹果官宣库克（Tim Cook）将卸任 CEO，由约翰·特努斯（John Ternus）接手。与此同时，长期掌管苹果芯片业务的约翰尼·斯鲁吉（Johny Srouji）将出任首席硬件官。一时间，关于苹果公司未来发展的预测纷至沓来，但没有人能给出一个明确的答案，可能连约翰自己也不能。](https://www.36kr.com/topics/3777702636639493)
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* [36氪2025年度透视 “透视图”栏目在年终特别策划了“36氪年度总结”系列，用数据透视2025全年趋势，以图片呈现今年商业世界中不可错过的要点。持续更新中 >>](https://www.36kr.com/topics/3607915481810183)
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* 商业策划[2026厦门火炬创业营暨高校科技成果转化创业营 2026年，厦门火炬创业营再度升级，向全国开放招募通道，火热招募中！](https://adx.36kr.com/api/ad/click?sign=d89dd47bd7595d92e7805f614101d4fc¶m.redirectUrl=aHR0cHM6Ly90b3BpY3MuMzZrci5jb20vdG9waWMvMzgwMDEzNzEzMTAyMDI5Nw¶m.adsdk=iN4D0_IfMZtYk88-Q4GXj1zX0nfgoKAucAGFDM4yVAlFV4QzzfM8_4-2L66bjDMMfi1g1mgzy5sElf7DRmPF4A)
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[推荐](https://www.36kr.com/information/web_recommend)[](https://www.36kr.com/p/3817079104905475)
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[疫苗这次真的“起风了”](https://www.36kr.com/p/3817079104905475)
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[国家层面首次明确，职工医保个人账户可以用来支付流感疫苗。](https://www.36kr.com/p/3817079104905475)
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来自主题：[医疗健康](https://www.36kr.com/motif/887340443298048)|[锦缎](https://www.36kr.com/user/5282007)1小时前
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品牌专题
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||||
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||||
[](https://adx.36kr.com/api/ad/click?sign=7990d1d3e5deb068bac8c7c05689d20f¶m.redirectUrl=aHR0cHM6Ly90b3BpY3MuMzZrci5jb20vdG9waWMvMjAyNmFpcGFydG5lcmhhbmd6aG91¶m.adsdk=H2KiQ3qCzLgawD5_aiKxBsyNr5L13ohZkAI4nuLoPW-KsTts6bLvkco4e4I0dZblxb-SSNfyba5kJPeLf6yefA)
|
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|
||||
[视频](https://www.36kr.com/video/)[](https://www.36kr.com/v-video/3816119094599943)3:25
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||||
|
||||
[氪大事 | 上个厕所差点输了？一场没有终点的机器人直播](https://www.36kr.com/v-video/3816119094599943)
|
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|
||||
分拣大战，人类的最后一胜？
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[氪星研究所](https://www.36kr.com/user/5307570)个人观点仅供参考 6小时前
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[职场](https://www.36kr.com/information/web_zhichang)[](https://www.36kr.com/p/3817001988989184)
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[最高奖励800万，海南押注AI一人公司，我们如何搭上这趟车？](https://www.36kr.com/p/3817001988989184)
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[海南推AI一人公司新政，给创业者红利，邀超级个体入局。](https://www.36kr.com/p/3817001988989184)
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来自主题：[人工智能·AI](https://www.36kr.com/motif/327686782977)|[BT财经](https://www.36kr.com/user/5131460)1小时前
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[科技](https://www.36kr.com/information/technology)[](https://www.36kr.com/p/3817070473184128)
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[扛不住了，人形机器人企业批量倒闭](https://www.36kr.com/p/3817070473184128)
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[竞争不过中国公司、融不到钱，欧美机器人迎来倒闭潮。](https://www.36kr.com/p/3817070473184128)
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来自主题：[具身智能](https://www.36kr.com/motif/3638572690509189)|[智东西](https://www.36kr.com/user/453363432)1小时前
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[科技](https://www.36kr.com/information/technology)[](https://www.36kr.com/p/3817051665875840)
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[把服务器沉到海底，这事儿是认真的](https://www.36kr.com/p/3817051665875840)
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[全球首个海风直连海底数据中心投用，海上算力新探索。](https://www.36kr.com/p/3817051665875840)
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来自主题：[人工智能·AI](https://www.36kr.com/motif/327686782977)|[酷玩实验室](https://www.36kr.com/user/5418716)1小时前
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[消费](https://www.36kr.com/information/happy_life)[](https://www.36kr.com/p/3816393016329097)
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[静默冰面之下：阿里、抖音、京东618 AI暗战](https://www.36kr.com/p/3816393016329097)
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[AI时代竞争全面升维](https://www.36kr.com/p/3816393016329097)
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来自主题：[关于消费的一切](https://www.36kr.com/motif/327685832705)|[极点商业](https://www.36kr.com/user/5060712)1小时前
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* [4:35 存储超级周期下，5000亿澜起科技的周期隐忧 个人观点仅供参考](https://www.36kr.com/video/3816849895596033)
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* [11:36 为什么越努力越容易返贫？](https://www.36kr.com/video/3815958490161413)
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@@ -0,0 +1,212 @@
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||||
---
|
||||
title: "DeepSeek V4 评测地图：读懂 2026 前沿 LLM 基准"
|
||||
source_url: https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-20T07:01:55.036Z
|
||||
---# DeepSeek V4 评测地图：读懂 2026 前沿 LLM 基准
|
||||
|
||||
Published Time: 2026-04-24T00:00:00.000Z
|
||||
|
||||
# DeepSeek V4 评测地图：读懂 2026 前沿 LLM 基准
|
||||
|
||||
[Remy's Blog](https://redreamality.com/cn/)Open main menu
|
||||
|
||||
* [首页](https://redreamality.com/cn/)
|
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* 花园
|
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* [博客](https://redreamality.com/cn/blog/)
|
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* [底噪 (News)](https://redreamality.com/cn/garden/chaos/)
|
||||
* [演讲](https://redreamality.com/cn/garden/talks/)
|
||||
* [思考问题](https://redreamality.com/cn/garden/questions/)
|
||||
* [阅读笔记](https://redreamality.com/cn/garden/notes/)
|
||||
|
||||
* [博客](https://redreamality.com/cn/blog/)
|
||||
* [底噪 (News)](https://redreamality.com/cn/garden/chaos/)
|
||||
* [演讲](https://redreamality.com/cn/garden/talks/)
|
||||
* [思考问题](https://redreamality.com/cn/garden/questions/)
|
||||
* [阅读笔记](https://redreamality.com/cn/garden/notes/)
|
||||
|
||||
* [项目](https://redreamality.com/cn/projects/)
|
||||
* [关于](https://redreamality.com/cn/about/)
|
||||
* 中文 [🇺🇸English](https://redreamality.com/blog/deepseek-v4-benchmarks-guide/)[🇨🇳中文 ✓](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/)[🇯🇵日本語](https://redreamality.com/ja/blog/deepseek-v4-benchmarks-guide/)语言 ↻
|
||||
|
||||
中文
|
||||
|
||||
[🇺🇸 English](https://redreamality.com/blog/deepseek-v4-benchmarks-guide/)[🇨🇳 中文 ✓](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/)[🇯🇵 日本語](https://redreamality.com/ja/blog/deepseek-v4-benchmarks-guide/)
|
||||
|
||||
语言 ↻
|
||||
|
||||
## 目录
|
||||
|
||||
* [◆ 为什么今年突然这么多基准？](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E4%B8%BA%E4%BB%80%E4%B9%88%E4%BB%8A%E5%B9%B4%E7%AA%81%E7%84%B6%E8%BF%99%E4%B9%88%E5%A4%9A%E5%9F%BA%E5%87%86)
|
||||
* [◆ 编程与软件工程](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E7%BC%96%E7%A8%8B%E4%B8%8E%E8%BD%AF%E4%BB%B6%E5%B7%A5%E7%A8%8B)
|
||||
* [▸ LiveCodeBench](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#livecodebench)
|
||||
* [▸ Codeforces (CodeElo)](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#codeforces-codeelo)
|
||||
* [▸ SWE-bench Verified & SWE-bench Pro](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#swe-bench-verified--swe-bench-pro)
|
||||
* [▸ Terminal-Bench Hard & 2.0](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#terminal-bench-hard--20)
|
||||
* [▸ SciCode](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#scicode)
|
||||
* [▸ MCPAtlas & Toolathlon](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#mcpatlas--toolathlon)
|
||||
* [◆ 推理与数学](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E6%8E%A8%E7%90%86%E4%B8%8E%E6%95%B0%E5%AD%A6)
|
||||
* [▸ GPQA Diamond](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#gpqa-diamond)
|
||||
* [▸ Humanity’s Last Exam (HLE)](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#humanitys-last-exam-hle)
|
||||
* [▸ CritPt](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#critpt)
|
||||
* [▸ Putnam-2025](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#putnam-2025)
|
||||
* [◆ 知识与事实性](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E7%9F%A5%E8%AF%86%E4%B8%8E%E4%BA%8B%E5%AE%9E%E6%80%A7)
|
||||
* [▸ SimpleQA-Verified](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#simpleqa-verified)
|
||||
* [▸ AA-Omniscience](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#aa-omniscience)
|
||||
* [◆ Agent 与工具使用](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#agent-%E4%B8%8E%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8)
|
||||
* [▸ τ²-Bench Telecom](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%CF%84-bench-telecom)
|
||||
* [▸ GDPval-AA](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#gdpval-aa)
|
||||
* [▸ IFBench](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#ifbench)
|
||||
* [◆ 长上下文](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E9%95%BF%E4%B8%8A%E4%B8%8B%E6%96%87)
|
||||
* [▸ AA-LCR](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#aa-lcr)
|
||||
* [◆ ClawBench 家族](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#clawbench-%E5%AE%B6%E6%97%8F)
|
||||
* [◆ 结论](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#%E7%BB%93%E8%AE%BA)
|
||||
|
||||
# DeepSeek V4 评测地图：读懂 2026 前沿 LLM 基准
|
||||
|
||||
发布于 2026年4月24日
|
||||
|
||||
软件实用程序
|
||||
|
||||
作者 Remy
|
||||
|
||||
2026 年 4 月 24 日 DeepSeek 发布 V4-Pro 预览版，技术报告里塞进了大约 **16 个不同的评测集**，横跨[编程](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#)、推理、知识、长上下文和 Agent 任务。如果你翻着那张成绩单纳闷”这些缩写到底在测什么”，这篇就是一张地图。
|
||||
|
||||
## 为什么今年突然这么多基准？
|
||||
|
||||
一年前，前沿模型的报告里写 MMLU + HumanEval + GSM8K 基本就够了。到 2026 年这三个已经饱和——Artificial Analysis 在一月份把 MMLU-Pro、AIME 2025、LiveCodeBench 从 Intelligence Index v4.0 里拿掉，原因就是前沿模型的分数差距已经读不出来。
|
||||
|
||||
新基准沿两条轴扩张：**更硬的推理**（HLE、CritPt、Putnam），以及 **更长链条的 Agent 任务**（SWE-bench Pro、Terminal-Bench、Toolathlon、MCPAtlas）。
|
||||
|
||||
## 编程与软件工程
|
||||
|
||||
### LiveCodeBench
|
||||
|
||||
无污染的竞赛题库，持续从 LeetCode、AtCoder、Codeforces 抓新题。每题带发布日期——对训练截止后出现的题目做”未见题”评估。V4-Pro-Max 得 **93.5**，开源模型新高。
|
||||
|
||||
### Codeforces (CodeElo)
|
||||
|
||||
不像 LiveCodeBench 自建判题，CodeElo 用提交机器人直接对接 Codeforces 官方判题机。零假阳性、支持 Special Judge，最终换算成人类可比的 Elo 分数。V4-Pro-Max **3206 分**，约等于人类选手 #23。
|
||||
|
||||
### SWE-bench Verified & SWE-bench Pro
|
||||
|
||||
SWE-bench Verified（OpenAI 精选 500 道 GitHub issue→PR 任务）已经饱和，前沿模型普遍 70%+。**SWE-bench Pro** 是 Scale AI 的接班人：1865 题，41 个仓库，单题平均改 107 行代码、4 个文件。分 public（731）、held-out（858）、commercial（276 来自早期创业公司私有库）三套，只用 copyleft 许可仓库来抗训练污染。
|
||||
|
||||
编程
|
||||
|
||||
V4-Pro-Max：Verified **80.6**，Pro **55.4**——这个落差才是重点，Pro 才是”长链条能力”的公道裁判。
|
||||
|
||||
### Terminal-Bench Hard & 2.0
|
||||
|
||||
Stanford + Laude Institute。Agent 在 Docker 里拿到真实终端，要编译代码、训模型、配服务器。V4-Pro-Max 2.0 版 **67.9**，仍落后闭源前沿。
|
||||
|
||||
### SciCode
|
||||
|
||||
80 个主问题拆成 338 个子问题，题源是物理学家、化学家的实际研究脚本。同时考察知识召回 + 推理 + 代码合成，覆盖 6 个[科学](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#)领域。
|
||||
|
||||
### MCPAtlas & Toolathlon
|
||||
|
||||
更新的 Agent [编程](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#)基准。V4-Pro-Max MCPAtlas **73.6**（仅次于 Opus-4.6-Max 的 73.8），Toolathlon **51.8**——在这项上反超 Gemini-3.1-Pro。
|
||||
|
||||
## 推理与数学
|
||||
|
||||
### GPQA Diamond
|
||||
|
||||
198 道研究生级自然科学选择题，筛选条件是”博士专家答对、有网非专家答不对”。专家 ~65%，非专家有 Google 也只有 34%。目前已饱和（Gemini 3.1 Pro 94.1%，Claude Opus 4.7 94.2%）。
|
||||
|
||||
### Humanity’s Last Exam (HLE)
|
||||
|
||||
2500 道专家审核题，覆盖[数学](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#)、自然科学、人文。CAIS + Scale AI 2025 年 1 月发布，定位”学术闭卷终考”。前沿模型目前仍在 40 分出头。
|
||||
|
||||
### CritPt
|
||||
|
||||
71 道来自 50 多位物理学家的**未发表**研究级物理题。GPQA Diamond 已经区分不了前沿模型，但 CritPt 还能——最强的 GPT-5.4 Pro xhigh 也只有 30%，基线模型 4%。
|
||||
|
||||
Computer Science
|
||||
|
||||
### Putnam-2025
|
||||
|
||||
Putnam 数学竞赛的形式化证明评测，用 Lean/Isabelle 流水线。V4-Pro-Max **120/120** 满分。
|
||||
|
||||
## 知识与事实性
|
||||
|
||||
### SimpleQA-Verified
|
||||
|
||||
Epoch AI 从 OpenAI SimpleQA 里精选的 1000 题——短问答、单一答案、对抗性收集。V4-Pro-Max **57.9**，大幅领先前最强开源模型。
|
||||
|
||||
### AA-Omniscience
|
||||
|
||||
考察”事实性减幻觉”的综合得分，−100 到 +100 分：答对 +1，幻觉 −1，弃权 0。负分意味着模型”胡说比知道的还多”。
|
||||
|
||||
## Agent 与工具使用
|
||||
|
||||
### τ²-Bench Telecom
|
||||
|
||||
**双向控制**的对话 Agent 基准：Agent 和模拟用户双方都能执行动作，必须协作才能解决电信客服场景。不是单轮工具调用，而是多轮状态共享。
|
||||
|
||||
### GDPval-AA
|
||||
|
||||
OpenAI 的 GDPval（220 个真实可交付物，来自 44 个职业、9 大 GDP 行业、平均 14 年经验的行业专家撰写）套上 Artificial Analysis 的评测框架。评分方式是**盲对比 Elo**，锚点是 GPT-5.1 Non-Reasoning = 1000 分。
|
||||
|
||||
### IFBench
|
||||
|
||||
58 个可验证的 out-of-domain 指令约束——模型到底会不会严格遵守你的输出格式要求。
|
||||
|
||||
## 长上下文
|
||||
|
||||
### AA-LCR
|
||||
|
||||
100 道难题，文档量 ~100k tokens，覆盖 7 类文档（财报、法律、学术、政府咨询、营销……）。最低要求 128K context。Qwen3 做等值判定器。
|
||||
|
||||
## ClawBench 家族
|
||||
|
||||
DeepSeek 报告里没出现，但属于同一波 Agent 评测潮，了解一下：
|
||||
|
||||
机器学习与人工智能
|
||||
|
||||
* **ClawBench**（clawbenchlab）——30 个业务流任务，覆盖办公、研究、内容、数据、[软件工程](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#) 5 类，**故意埋坑**：命名不一致、目录缺失、日期陷阱
|
||||
* **MM-ClawBench**——MiniMax 基于 OpenClaw 的 Agent 基准
|
||||
* **LiveClawBench**——Triple-Axis 复杂度框架（环境/认知/运行时），并用 controlled pairs 做归因分析
|
||||
* **WildClawBench**（书生 InternLM 出品）——60 个手工原创任务，Ground truth 在 Agent 完成后才注入，杜绝泄漏
|
||||
|
||||
## 结论
|
||||
|
||||
V4 的成绩单印证了一个规律：**纯[编程](https://redreamality.com/cn/blog/deepseek-v4-benchmarks-guide/#)**开源已经追上（LiveCodeBench 93.5、Codeforces 3206）；**长链条 Agent**（SWE-bench Pro、Terminal-Bench 2.0）闭源前沿仍领先；**前沿推理**（HLE、GPQA Diamond）大家挤在一起，评测集被替换的速度已经超过模型饱和它的速度。
|
||||
|
||||
选基准作报告的话，2026 年一条经验法则：优先选**有现役抗污染机制**（带日期的题、私有子集、或仅用 copyleft 源）的、且**离天花板还有明显距离**的。
|
||||
|
||||
## 相关文章推荐
|
||||
|
||||
### [从忙碌海狸到现代CPU：一个 1936 年的抽象如何变成你手里的硅片 2026年5月12日 一篇从忙碌海狸函数出发，穿过冯·诺依曼体系，最终落在 CPU 指令周期上的导览。讲清楚图灵机的四个原语——纸带、读写头、状态、转移——是如何被工程化为现代计算机的内存层级、地址总线、控制单元和指令集的。](https://redreamality.com/cn/blog/from-busy-beaver-to-modern-cpu/)### [当人类不再需要工作：四维推演与红利地图 2026年5月11日 一次多智能体的思想实验——从经济、心理、社会结构、文明四个维度推演"后工作社会"的真实形态，并回答两个实操问题：过渡期的红利在哪里？token 会成为通货吗？](https://redreamality.com/cn/blog/what-if-humans-dont-need-to-work/)### [一万字讲透 CLAUDE.md/AGENTS.md：从基础到反直觉 2026年4月25日 从 Anthropic 官方规范到 Karpathy 的 program.md 范式，从"两次原则"到达尔文式记忆，从 Spec-Driven 到 Eval-Driven——一篇梳理 AI 编程代理指令文件的来龙去脉与反直觉心智模型。](https://redreamality.com/cn/blog/claude-md-agents-md-deep-dive/)### [帘子后面是个人：UX 中的绿野仙踪法 2026年4月24日 在写一行代码之前，如何验证复杂产品——尤其是 AI 产品——的设想是否真的立得住？一个借自童话的老方法，在 AI 时代重新变得关键。](https://redreamality.com/cn/blog/wizard-of-oz-method-in-ux/)### [Agent Harness 模式：从 Claude Code 核心循环中提炼的工程蓝图 2026年4月7日 教科书里的 ReAct 循环到底缺了什么？我们从 Claude Code 源码中提炼出 Agent Harness 模式——一个可泛化的、让 AI Agent 在生产环境中存活的工程蓝图。](https://redreamality.com/cn/blog/inside-claude-code-agent-harness/)### [Claude Code 源码泄露：Anthropic AI 编程智能体架构深度解析 2026年3月31日 Claude Code 源码短暂公开。我们读完了全部 1,884 个 TypeScript 文件。以下是这套架构揭示的 AI 编程工具真正走向。](https://redreamality.com/cn/blog/claude-code-source-leak-architecture-analysis/)
|
||||
|
||||
[返回博客](https://redreamality.com/cn/blog/)
|
||||
|
||||
深入探索
|
||||
|
||||
软件
|
||||
|
||||
软件工程
|
||||
|
||||
编程
|
||||
|
||||
© 2026. All Rights Reserved.
|
||||
|
||||
[Sitemap](https://redreamality.com/sitemap-0.xml)
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|
||||
[RSS Feed (English)](https://redreamality.com/rss.xml)[RSS Feed (中文)](https://redreamality.com/cn/rss.xml)[RSS Feed (日本語)](https://redreamality.com/ja/rss.xml)
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Thank you for your understanding and support! 🙏
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50
sandbox/2026-05/2026-05-20_deepseek_深度求索_af2672ab.md
Normal file
50
sandbox/2026-05/2026-05-20_deepseek_深度求索_af2672ab.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: "DeepSeek | 深度求索"
|
||||
source_url: https://www.deepseek.com
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-20T06:00:38.242Z
|
||||
---# DeepSeek | 深度求索
|
||||
|
||||
# DeepSeek | 深度求索
|
||||
|
||||
|
||||
|
||||
[🎉 DeepSeek-V4 预览版本发布，具备世界顶级推理性能，Agent 能力大幅提高，已在网页端、APP 和 API 上线，点击查看详情。](https://mp.weixin.qq.com/s/8bxXqS2R8Fx5-1TLDBiEDg)
|
||||
|
||||
探索未至之境
|
||||
|
||||
[开始对话 与 DeepSeek 免费对话 体验全新旗舰模型](https://chat.deepseek.com/)[API 开放平台 调用 DeepSeek 最新模型 快速集成、流畅体验](https://platform.deepseek.com/)
|
||||
|
||||
[API 文档](https://api-docs.deepseek.com/zh-cn/)[获取 App](https://www.deepseek.com/)[English](https://www.deepseek.com/en/)
|
||||
|
||||
|
||||
|
||||
[](mailto:service@deepseek.com "deepseek_ai:email")[](https://www.deepseek.com/# "deepseek_ai wechat")[](https://github.com/deepseek-ai "deepseek_ai:github")[](https://twitter.com/deepseek_ai "deepseek_ai:twitter")[](https://www.zhihu.com/org/deepseek-75 "deepseek_ai:zhihu")[](https://www.xiaohongshu.com/user/profile/66821202000000001b01a005 "deepseek_ai:rednote")
|
||||
|
||||
© 2026 杭州深度求索人工智能基础技术研究有限公司 版权所有
|
||||
|
||||
[浙ICP备2023025841号](https://beian.miit.gov.cn/)[浙B2-20250178](https://tsm.miit.gov.cn/dxxzsp/xkz/xkzgl/resource/qiyesearch.jsp?num=%E6%B5%99B2-20250178&type=xuke)[浙公网安备33010502011812号](https://beian.mps.gov.cn/#/query/webSearch?code=33010502011812)
|
||||
|
||||
研究
|
||||
|
||||
[DeepSeek R1](https://github.com/deepseek-ai/DeepSeek-R1)[DeepSeek V3](https://github.com/deepseek-ai/DeepSeek-V3)[DeepSeek Coder V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2)[DeepSeek VL](https://github.com/deepseek-ai/DeepSeek-VL)[DeepSeek V2](https://github.com/deepseek-ai/DeepSeek-V2)[DeepSeek Coder](https://github.com/deepseek-ai/DeepSeek-Coder)[DeepSeek Math](https://github.com/deepseek-ai/DeepSeek-Math)[DeepSeek LLM](https://github.com/deepseek-ai/DeepSeek-LLM)
|
||||
|
||||
产品
|
||||
|
||||
[DeepSeek App](https://download.deepseek.com/app/)[DeepSeek 网页版](https://chat.deepseek.com/)[开放平台](https://platform.deepseek.com/)[API 价格](https://api-docs.deepseek.com/zh-cn/quick_start/pricing)[服务状态](https://status.deepseek.com/)
|
||||
|
||||
法务 & 安全
|
||||
|
||||
[隐私政策](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)[用户协议](https://cdn.deepseek.com/policies/en-US/deepseek-terms-of-use.html)[反馈安全漏洞](mailto:security@deepseek.com)[透明度](https://www.deepseek.com/transparency/)
|
||||
|
||||
加入我们
|
||||
|
||||
[岗位详情](https://app.mokahr.com/social-recruitment/high-flyer/140576)
|
||||
|
||||
Cookie 设置
|
||||
|
||||
我们使用 Cookies 来提供和改进服务并进行安全防护。点击查看我们的 [Cookie 政策](https://cdn.deepseek.com/policies/en-US/cookies-policy.html)。你可以选择接受全部，或仅接受必要 Cookies（可能导致部分功能无法正常使用）。
|
||||
|
||||
仅接受必要 Cookies
|
||||
|
||||
接受全部
|
||||
645
sandbox/2026-05/2026-05-20_minimax_436296d8.md
Normal file
645
sandbox/2026-05/2026-05-20_minimax_436296d8.md
Normal file
@@ -0,0 +1,645 @@
|
||||
---
|
||||
title: "MiniMax"
|
||||
source_url: https://www.minimaxi.com/
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-20T06:00:45.281Z
|
||||
---# MiniMax
|
||||
|
||||
# MiniMax
|
||||
|
||||
[](https://www.minimaxi.com/)
|
||||
|
||||
模型
|
||||
|
||||
文本
|
||||
|
||||
[MiniMax M2.7](https://www.minimaxi.com/models/text/m27)[MiniMax M2.5](https://www.minimaxi.com/models/text)[MiniMax M2-Her](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)[MiniMax M2.1](https://www.minimaxi.com/news/minimax-m21)[MiniMax M2](https://www.minimaxi.com/news/minimax-m2)
|
||||
|
||||
语音
|
||||
|
||||
[MiniMax Speech 2.8](https://www.minimaxi.com/news/minimax-speech-28)[MiniMax Speech 2.6](https://www.minimaxi.com/news/minimax-speech-26)[MiniMax Speech 2.5](https://www.minimaxi.com/news/minimax-speech-25)
|
||||
|
||||
视频
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast](https://www.minimaxi.com/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://www.minimaxi.com/news/minimax-hailuo-02)
|
||||
|
||||
音乐
|
||||
|
||||
[MiniMax Music 2.6](https://www.minimaxi.com/news/music-26)[MiniMax Music 2.5+](https://www.minimaxi.com/news/music-25-%E8%A7%A3%E9%94%81%E7%BA%AF%E9%9F%B3%E4%B9%90%E7%AA%81%E7%A0%B4%E9%A3%8E%E6%A0%BC%E8%BE%B9%E7%95%8C)[MiniMax Music 2.5](https://www.minimaxi.com/news/minimax-music-25)[MiniMax Music 2.0](https://www.minimaxi.com/news/minimax-music-20)[MiniMax Music 1.5](https://www.minimaxi.com/news/minimax-music-15)
|
||||
|
||||
产品
|
||||
|
||||
AI原生应用
|
||||
|
||||
[MiniMax 桌面版](https://agent.minimaxi.com/download)[Agent](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[语音](https://www.minimaxi.com/audio)[星野](https://www.xingyeai.com/)
|
||||
|
||||
开放平台
|
||||
|
||||
即刻接入AI能力
|
||||
|
||||
[文档中心](https://platform.minimaxi.com/docs/guides/models-intro)[Token Plan](https://platform.minimaxi.com/subscribe/token-plan)[产品定价](https://platform.minimaxi.com/docs/pricing/overview)[平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
|
||||
新闻动态
|
||||
|
||||
关于我们
|
||||
|
||||
与所有人共创智能
|
||||
|
||||
[公司介绍](https://www.minimaxi.com/about)[投资者关系](https://ir.minimaxi.com/)[加入我们](https://www.minimaxi.com/careers)
|
||||
|
||||
[EN](https://www.minimax.io/)
|
||||
|
||||
登录
|
||||
|
||||
[API 开放平台](https://platform.minimaxi.com/login)[MiniMax Agent](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[MiniMax 语音](https://www.minimaxi.com/audio)
|
||||
|
||||
[](https://www.minimaxi.com/)
|
||||
|
||||
- [x]
|
||||
|
||||
模型
|
||||
|
||||
文本
|
||||
|
||||
[MiniMax M2.7 NEW](https://www.minimaxi.com/models/text/m27)[MiniMax M2.5](https://www.minimaxi.com/models/text)[MiniMax M2-Her](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)[MiniMax M2.1](https://www.minimaxi.com/news/minimax-m21)[MiniMax M2](https://www.minimaxi.com/news/minimax-m2)
|
||||
|
||||
语音
|
||||
|
||||
[MiniMax Speech 2.8 NEW](https://www.minimaxi.com/news/minimax-speech-28)[MiniMax Speech 2.6](https://www.minimaxi.com/news/minimax-speech-26)[MiniMax Speech 2.5](https://www.minimaxi.com/news/minimax-speech-25)
|
||||
|
||||
视频
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast NEW](https://www.minimaxi.com/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://www.minimaxi.com/news/minimax-hailuo-02)
|
||||
|
||||
音乐
|
||||
|
||||
[MiniMax Music 2.6 NEW](https://www.minimaxi.com/news/music-26)[MiniMax Music 2.5+NEW](https://www.minimaxi.com/news/music-25-%E8%A7%A3%E9%94%81%E7%BA%AF%E9%9F%B3%E4%B9%90%E7%AA%81%E7%A0%B4%E9%A3%8E%E6%A0%BC%E8%BE%B9%E7%95%8C)[MiniMax Music 2.5](https://www.minimaxi.com/news/minimax-music-25)[MiniMax Music 2.0](https://www.minimaxi.com/news/minimax-music-20)[MiniMax Music 1.5](https://www.minimaxi.com/news/minimax-music-15)
|
||||
|
||||
产品
|
||||
|
||||
AI原生应用
|
||||
|
||||
[MiniMax 桌面版 NEW](https://agent.minimaxi.com/download)[Agent NEW](https://agent.minimaxi.com/)[海螺视频](https://hailuoai.com/)[语音](https://www.minimaxi.com/audio)[星野](https://www.xingyeai.com/)
|
||||
|
||||
开放平台
|
||||
|
||||
即刻接入AI能力
|
||||
|
||||
[文档中心](https://platform.minimaxi.com/docs/guides/models-intro)[Token Plan](https://platform.minimaxi.com/subscribe/token-plan)[产品定价](https://platform.minimaxi.com/docs/pricing/overview)[平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
|
||||
新闻动态
|
||||
|
||||
关于我们
|
||||
|
||||
与所有人共创智能
|
||||
|
||||
[公司介绍](https://www.minimaxi.com/about)[投资者关系](https://ir.minimaxi.com/)[加入我们](https://www.minimaxi.com/careers)
|
||||
|
||||
[English](https://www.minimax.io/)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Music 2.6
|
||||
|
||||
Cover 翻唱、器乐提升、Agent 集成，让每个人都能成为音乐创作者
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/music-generation)[了解更多](https://www.minimaxi.com/news/music-26)
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
翻唱
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
[Audio 1](https://www.minimaxi.com/)
|
||||
|
||||
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/music-generation)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2.7
|
||||
|
||||
开启模型的自我进化，相比 M2.5 在实战能力上有显著的提升
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/api-overview)[立即体验 Agent](https://agent.minimaxi.com/)[了解更多](https://www.minimaxi.com/models/text/m27)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness 能力
|
||||
|
||||
构建自我进化的 Agent harness
|
||||
|
||||
|
||||
|
||||
强工程与 Coding 能力
|
||||
|
||||
一个真正理解生产系统的模型
|
||||
|
||||
|
||||
|
||||
复杂 Office 自动化能力
|
||||
|
||||
支持复杂 Excel / Word / PPT 办公任务及多轮编辑
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/api-overview)
|
||||
|
||||
# 2025年全年业绩
|
||||
|
||||
迈向AI时代的平台型公司
|
||||
|
||||
[了解更多](https://www.minimaxi.com/news/2025%E5%85%A8%E5%B9%B4%E4%B8%9A%E7%BB%A9)
|
||||
|
||||
|
||||
|
||||
[了解更多](https://www.minimaxi.com/news/2025%E5%85%A8%E5%B9%B4%E4%B8%9A%E7%BB%A9)
|
||||
|
||||
# Token
|
||||
|
||||
|
||||
|
||||
Plan
|
||||
|
||||
专为开发者定制的超高性价比 token 套餐
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/token-plan/quickstart)[订阅](https://platform.minimaxi.com/subscribe/token-plan)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
|
||||
生产级交付
|
||||
|
||||
|
||||
|
||||
包月畅用
|
||||
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
|
||||
开箱即用
|
||||
|
||||
一键接入主流开发工具
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
最强模型
|
||||
|
||||
生产级交付
|
||||
|
||||
|
||||
|
||||
包月畅用
|
||||
|
||||
不焦虑，越多越划算
|
||||
|
||||
|
||||
|
||||
开箱即用
|
||||
|
||||
一键接入主流开发工具
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/token-plan/quickstart)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Hailuo 2.3
|
||||
|
||||
动静皆非凡：极致动态，入微传情
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/video-generation-t2v)[立即体验海螺](https://hailuoai.com/)[了解更多](https://www.minimaxi.com/news/minimax-hailuo-23)
|
||||
|
||||
[Video 1](https://filecdn.minimax.chat/public/023fd855-f068-436a-9f68-372bf643cd91.mp4)
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/video-generation-t2v)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Speech 2.8
|
||||
|
||||
赋予 AI 语音"人的温度"
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/speech-t2a-http)[立即体验语音](https://www.minimaxi.com/audio)[了解更多](https://www.minimaxi.com/news/minimax-speech-28)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
睡前低语
|
||||
|
||||
日语 · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
恐怖故事
|
||||
|
||||
英语 · 恐怖
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
哥布林的交易
|
||||
|
||||
英语 · 角色
|
||||
|
||||
|
||||
|
||||
[Audio 2](https://www.minimaxi.com/)
|
||||
|
||||
[即刻接入 API](https://platform.minimaxi.com/docs/api-reference/speech-t2a-http)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Agent
|
||||
|
||||
智能助手，为您的工作和生活提供全方位支持。
|
||||
|
||||
[桌面版](https://agent.minimaxi.com/download)[立即体验 Agent](https://agent.minimaxi.com/)[了解更多](https://www.minimaxi.com/news/minimax-agent)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
自主组建 Agent 小队
|
||||
|
||||
自行根据任务复杂度召集 Agent 小队为你解决问题
|
||||
|
||||
|
||||
|
||||
懂你的习惯与偏好
|
||||
|
||||
记住你的喜好和工作方式，并沉淀为专属技能，越用越默契
|
||||
|
||||
|
||||
|
||||
在输入框搞定一切
|
||||
|
||||
创建技能，查看记忆，定时任务等等，只需在对话框下达指令
|
||||
|
||||
[桌面版](https://agent.minimaxi.com/download)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2-her
|
||||
|
||||
多角色沉浸扮演，驾驭长轮次复杂场景
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/text-chat)[了解更多](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
|
||||
|
||||
|
||||
[即刻接入API](https://platform.minimaxi.com/docs/api-reference/text-chat)
|
||||
|
||||
## 全栈模型矩阵
|
||||
|
||||
涵盖文本、语音、视频、图像与音乐五大方向。助力开发者高效构建智能应用
|
||||
|
||||
[ NEW MiniMax M2.7 Text Model 模型自我进化，以技术突破驱动生产力革新](https://www.minimaxi.com/news/minimax-m27-zh)
|
||||
|
||||
[ NEW MiniMax Music 2.6 Music Model 翻唱入心，器乐入魂](https://www.minimaxi.com/news/music-26)
|
||||
|
||||
[[Video 2](https://filecdn.minimax.chat/public/023fd855-f068-436a-9f68-372bf643cd91.mp4) NEW Hailuo 2.3 / 2.3 Fast Video Model 动静皆非凡：极致动态，入微传情](https://www.minimaxi.com/news/minimax-hailuo-23)
|
||||
|
||||
[ NEW MiniMax Speech 2.8 Audio Model 赋予 AI 语音"人的温度"](https://www.minimaxi.com/news/minimax-speech-28)
|
||||
|
||||
[ NEW MiniMax M2-her Text Model 多角色沉浸扮演，驾驭长轮次复杂场景](https://www.minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
|
||||
[ MiniMax MCP Server MCP 视频生成、图像生成、语音生成和声音克隆工具现已向开发者开放](https://www.minimaxi.com/news/minimax-mcp)
|
||||
|
||||
## AI 产品矩阵
|
||||
|
||||
从智能对话到视频创作，从声音合成到虚拟角色，MiniMax 为你打造全方位 AI 体验
|
||||
|
||||
[ MiniMax Agent 简单指令，创意无限](https://agent.minimaxi.com/)
|
||||
|
||||
[ 海螺视频 每个想法都是一部大片](https://hailuoai.com/video)
|
||||
|
||||
[ MiniMax Audio 超拟人AI声音创意](https://hailuoai.com/audio)
|
||||
|
||||
[ NEW 海螺视频Agent Vibe Videoing 零门槛，成片直出](https://www.minimaxi.com/news/video-agent)
|
||||
|
||||
[ 星野 骤入佳境，流连星野](https://www.xingyeai.com/)
|
||||
|
||||
## MiniMax
|
||||
|
||||
全球领先的通用人工智能科技公司
|
||||
|
||||
自2022年初成立以来，我们以"与所有人共创智能"为使命，致力于推动人工智能科技前沿发展，实现通用人工智能（AGI）。MiniMax 自主研发了一系列多模态通用大模型，具备强大的代码和 Agent 能力，以及超长上下文处理能力，能够理解、生成并整合包括文本、音频、图像、视频和音乐在内的多种模态。
|
||||
|
||||
基于这些自研模型，我们面向全球推出一系列 AI 原生产品，包括 MiniMax Agent、海螺AI、MiniMax Audio、星野等，以及面向企业和开发者的开放平台，共同为全球用户提供极致的智能体验。
|
||||
|
||||
0+
|
||||
|
||||
服务国家及地区
|
||||
|
||||
0 亿+
|
||||
|
||||
全球个人用户
|
||||
|
||||
214,000+
|
||||
|
||||
企业客户及开发者
|
||||
|
||||
0+
|
||||
|
||||
企业服务覆盖国家
|
||||
|
||||
|
||||
|
||||
[](mailto:bd@minimax.io "bd@minimax.io")[](https://github.com/MiniMax-AI)[](https://huggingface.co/MiniMaxAI)[](https://discord.gg/DPC4AHFCBw)
|
||||
|
||||
|
||||
|
||||
MiniMax 公众号
|
||||
|
||||
|
||||
|
||||
开平公众号
|
||||
|
||||
|
||||
|
||||
官方交流群
|
||||
|
||||
|
||||
|
||||
飞书交流群
|
||||
|
||||
###### 研究
|
||||
|
||||
* [MiniMax M2.7](https://minimaxi.com/news/minimax-m27-zh)
|
||||
* [MiniMax M2.5](https://minimaxi.com/news/minimax-m25)
|
||||
* [MiniMax M2-her](https://minimaxi.com/news/minimax-m2-her-%E6%8A%80%E6%9C%AF%E6%B7%B1%E5%BA%A6%E8%A7%A3%E6%9E%90)
|
||||
* [MiniMax M2.1](https://minimaxi.com/news/minimax-m21)
|
||||
* [MiniMax M2](https://minimaxi.com/news/minimax-m2)
|
||||
* [MiniMax Speech 2.8](https://minimaxi.com/news/minimax-speech-28)
|
||||
* [MiniMax Hailuo 2.3](https://minimaxi.com/news/minimax-hailuo-23)
|
||||
* [MiniMax Music 2.6](https://minimaxi.com/news/music-26)
|
||||
* [MiniMax Music 2.5+](https://minimaxi.com/news/minimax-music-25-2)
|
||||
* [MiniMax Music 2.0](https://minimaxi.com/news/minimax-music-20)
|
||||
|
||||
###### 产品
|
||||
|
||||
* [Agent](https://agent.minimaxi.com/)
|
||||
* [海螺视频](https://hailuoai.com/video)
|
||||
* [语音](https://www.minimaxi.com/audio)
|
||||
* [星野](https://www.xingyeai.com/)
|
||||
|
||||
###### 开放平台
|
||||
|
||||
* [文档中心](https://platform.minimaxi.com/docs)
|
||||
* [Token Plan](https://platform.minimaxi.com/subscribe/token-plan)
|
||||
* [产品定价](https://platform.minimaxi.com/docs/pricing/overview)
|
||||
* [平台登录](https://platform.minimaxi.com/user-center/basic-information)
|
||||
* [Status](https://status.minimaxi.com/)
|
||||
|
||||
###### 关于我们
|
||||
|
||||
* [公司介绍](https://minimaxi.com/about)
|
||||
* [加入我们](https://minimaxi.com/careers)
|
||||
|
||||
###### 新闻动态
|
||||
|
||||
* [最新资讯](https://minimaxi.com/news)
|
||||
|
||||
©上海稀宇科技有限公司 2026 版权所有[隐私条款](https://platform.minimaxi.com/protocol/privacy-policy)[用户协议](https://platform.minimaxi.com/protocol/user-agreement)[涉企侵权举报专用邮箱](mailto:qinquan@minimaxi.com)
|
||||
|
||||
[沪公网安备 31010402010179号](https://www.beian.gov.cn/portal/registerSystemInfo?recordcode=31010402010179)[沪ICP备2023003282号-38](https://beian.miit.gov.cn/)
|
||||
9282
sandbox/2026-05/2026-05-20_今日热榜_61e0997f.md
Normal file
9282
sandbox/2026-05/2026-05-20_今日热榜_61e0997f.md
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
52
sandbox/2026-05/2026-05-22_deepseek_深度求索_af2672ab.md
Normal file
52
sandbox/2026-05/2026-05-22_deepseek_深度求索_af2672ab.md
Normal file
@@ -0,0 +1,52 @@
|
||||
---
|
||||
title: "DeepSeek | 深度求索"
|
||||
source_url: https://www.deepseek.com
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-22T01:11:38.696Z
|
||||
---# DeepSeek | 深度求索
|
||||
|
||||
Published Time: Mon, 27 Apr 2026 08:46:48 GMT
|
||||
|
||||
# DeepSeek | 深度求索
|
||||
|
||||
|
||||
|
||||
[🎉 DeepSeek-V4 预览版本发布，具备世界顶级推理性能，Agent 能力大幅提高，已在网页端、APP 和 API 上线，点击查看详情。](https://mp.weixin.qq.com/s/8bxXqS2R8Fx5-1TLDBiEDg)
|
||||
|
||||
探索未至之境
|
||||
|
||||
[开始对话 与 DeepSeek 免费对话 体验全新旗舰模型](https://chat.deepseek.com/)[API 开放平台 调用 DeepSeek 最新模型 快速集成、流畅体验](https://platform.deepseek.com/)
|
||||
|
||||
[API 文档](https://api-docs.deepseek.com/zh-cn/)[获取 App](https://www.deepseek.com/)[English](https://www.deepseek.com/en/)
|
||||
|
||||
|
||||
|
||||
[](mailto:service@deepseek.com "deepseek_ai:email")[](https://www.deepseek.com/# "deepseek_ai wechat")[](https://github.com/deepseek-ai "deepseek_ai:github")[](https://twitter.com/deepseek_ai "deepseek_ai:twitter")[](https://www.zhihu.com/org/deepseek-75 "deepseek_ai:zhihu")[](https://www.xiaohongshu.com/user/profile/66821202000000001b01a005 "deepseek_ai:rednote")
|
||||
|
||||
© 2026 杭州深度求索人工智能基础技术研究有限公司 版权所有
|
||||
|
||||
[浙ICP备2023025841号](https://beian.miit.gov.cn/)[浙B2-20250178](https://tsm.miit.gov.cn/dxxzsp/xkz/xkzgl/resource/qiyesearch.jsp?num=%E6%B5%99B2-20250178&type=xuke)[浙公网安备33010502011812号](https://beian.mps.gov.cn/#/query/webSearch?code=33010502011812)
|
||||
|
||||
研究
|
||||
|
||||
[DeepSeek R1](https://github.com/deepseek-ai/DeepSeek-R1)[DeepSeek V3](https://github.com/deepseek-ai/DeepSeek-V3)[DeepSeek Coder V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2)[DeepSeek VL](https://github.com/deepseek-ai/DeepSeek-VL)[DeepSeek V2](https://github.com/deepseek-ai/DeepSeek-V2)[DeepSeek Coder](https://github.com/deepseek-ai/DeepSeek-Coder)[DeepSeek Math](https://github.com/deepseek-ai/DeepSeek-Math)[DeepSeek LLM](https://github.com/deepseek-ai/DeepSeek-LLM)
|
||||
|
||||
产品
|
||||
|
||||
[DeepSeek App](https://download.deepseek.com/app/)[DeepSeek 网页版](https://chat.deepseek.com/)[开放平台](https://platform.deepseek.com/)[API 价格](https://api-docs.deepseek.com/zh-cn/quick_start/pricing)[服务状态](https://status.deepseek.com/)
|
||||
|
||||
法务 & 安全
|
||||
|
||||
[隐私政策](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)[用户协议](https://cdn.deepseek.com/policies/en-US/deepseek-terms-of-use.html)[反馈安全漏洞](mailto:security@deepseek.com)[透明度](https://www.deepseek.com/transparency/)
|
||||
|
||||
加入我们
|
||||
|
||||
[岗位详情](https://app.mokahr.com/social-recruitment/high-flyer/140576)
|
||||
|
||||
Cookie 设置
|
||||
|
||||
我们使用 Cookies 来提供和改进服务并进行安全防护。点击查看我们的 [Cookie 政策](https://cdn.deepseek.com/policies/en-US/cookies-policy.html)。你可以选择接受全部，或仅接受必要 Cookies（可能导致部分功能无法正常使用）。
|
||||
|
||||
仅接受必要 Cookies
|
||||
|
||||
接受全部
|
||||
630
sandbox/2026-05/2026-05-22_minimax_0f16a9e9.md
Normal file
630
sandbox/2026-05/2026-05-22_minimax_0f16a9e9.md
Normal file
@@ -0,0 +1,630 @@
|
||||
---
|
||||
title: "MiniMax"
|
||||
source_url: https://minimax.io
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-22T01:11:46.034Z
|
||||
---# MiniMax
|
||||
|
||||
# MiniMax
|
||||
|
||||
[](https://minimax.io/)
|
||||
|
||||
Models
|
||||
|
||||
TEXT
|
||||
|
||||
[MiniMax M2.7](https://minimax.io/models/text/m27)[MiniMax M2.5](https://minimax.io/models/text)[MiniMax M2-Her](https://minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2)[MiniMax M2.1](https://minimax.io/news/minimax-m21)[MiniMax M2](https://minimax.io/news/minimax-m2)
|
||||
|
||||
SPEECH
|
||||
|
||||
[MiniMax Speech 2.8](https://minimax.io/news/minimax-speech-28)[MiniMax Speech 2.6](https://minimax.io/news/minimax-speech-26)[MiniMax Speech 2.5](https://minimax.io/news/minimax-speech-25)
|
||||
|
||||
VIDEO
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast](https://minimax.io/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://minimax.io/news/minimax-hailuo-02)
|
||||
|
||||
MUSIC
|
||||
|
||||
[MiniMax Music 2.6](https://minimax.io/news/music-26)[MiniMax Music 2.5+](https://minimax.io/news/music-25-unlock-instrumental-music)[MiniMax Music 2.5](https://minimax.io/news/minimax-music-25)[MiniMax Music 2.0](https://minimax.io/news/minimax-music-20)[MiniMax Music 1.5](https://minimax.io/news/minimax-music-15)
|
||||
|
||||
Product
|
||||
|
||||
AI-native Applications
|
||||
|
||||
[MiniMax Desktop](https://agent.minimax.io/download)[Agent](https://agent.minimax.io/)[Video Hailuo](https://hailuoai.video/)[Audio](https://www.minimax.io/audio)[Talkie](https://www.talkie-ai.com/)
|
||||
|
||||
API
|
||||
|
||||
Develop On MiniMax
|
||||
|
||||
[Developer Docs](https://platform.minimax.io/docs/guides/models-intro)[Token Plan](https://platform.minimax.io/subscribe/token-plan)[Pricing](https://platform.minimax.io/docs/pricing/overview)[Console Login](https://platform.minimax.io/user-center/basic-information)
|
||||
|
||||
News
|
||||
|
||||
Company
|
||||
|
||||
Intelligence with everyone
|
||||
|
||||
[About](https://minimax.io/about)[Investor Relations](https://ir.minimax.io/)
|
||||
|
||||
[Contact Us](https://platform.minimax.io/contact-us)
|
||||
|
||||
Login
|
||||
|
||||
[API Platform](https://platform.minimax.io/login)[MiniMax Agent](https://agent.minimax.io/)[Hailuo AI Video](https://hailuoai.video/)[MiniMax Audio](https://www.minimax.io/audio)
|
||||
|
||||
[](https://www.minimax.io/)
|
||||
|
||||
- [x]
|
||||
|
||||
Models
|
||||
|
||||
TEXT
|
||||
|
||||
[MiniMax M2.7 NEW](https://minimax.io/models/text/m27)[MiniMax M2.5](https://minimax.io/models/text)[MiniMax M2-Her](https://minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2)[MiniMax M2.1](https://minimax.io/news/minimax-m21)[MiniMax M2](https://minimax.io/news/minimax-m2)
|
||||
|
||||
SPEECH
|
||||
|
||||
[MiniMax Speech 2.8 NEW](https://minimax.io/news/minimax-speech-28)[MiniMax Speech 2.6](https://minimax.io/news/minimax-speech-26)[MiniMax Speech 2.5](https://minimax.io/news/minimax-speech-25)
|
||||
|
||||
VIDEO
|
||||
|
||||
[MiniMax Hailuo 2.3 / 2.3 Fast NEW](https://minimax.io/news/minimax-hailuo-23)[MiniMax Hailuo 02](https://minimax.io/news/minimax-hailuo-02)
|
||||
|
||||
MUSIC
|
||||
|
||||
[MiniMax Music 2.6 NEW](https://minimax.io/news/music-26)[MiniMax Music 2.5+NEW](https://minimax.io/news/music-25-unlock-instrumental-music)[MiniMax Music 2.5](https://minimax.io/news/minimax-music-25)[MiniMax Music 2.0](https://minimax.io/news/minimax-music-20)[MiniMax Music 1.5](https://minimax.io/news/minimax-music-15)
|
||||
|
||||
Product
|
||||
|
||||
AI-native Applications
|
||||
|
||||
[MiniMax Desktop NEW](https://agent.minimax.io/download)[Agent NEW](https://agent.minimax.io/)[Video Hailuo](https://hailuoai.video/)[Audio](https://www.minimax.io/audio)[Talkie](https://www.talkie-ai.com/)
|
||||
|
||||
API
|
||||
|
||||
Develop On MiniMax
|
||||
|
||||
[Developer Docs](https://platform.minimax.io/docs/guides/models-intro)[Token Plan](https://platform.minimax.io/subscribe/token-plan)[Pricing](https://platform.minimax.io/docs/pricing/overview)[Console Login](https://platform.minimax.io/user-center/basic-information)
|
||||
|
||||
News
|
||||
|
||||
Company
|
||||
|
||||
Intelligence with everyone
|
||||
|
||||
[About](https://minimax.io/about)[Investor Relations](https://ir.minimax.io/)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Music 2.6
|
||||
|
||||
Bring any melody back to life with Cover, powered by deeper bass and richer instrumentation
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/music-generation)[Learn More](https://www.minimax.io/news/music-26)
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
|
||||
|
||||
Trap
|
||||
|
||||
New
|
||||
|
||||
Video Scoring
|
||||
|
||||
|
||||
|
||||
EDM
|
||||
|
||||
New
|
||||
|
||||
Epic
|
||||
|
||||
Game
|
||||
|
||||
|
||||
|
||||
Cover
|
||||
|
||||
New
|
||||
|
||||
|
||||
|
||||
Pop
|
||||
|
||||
Pop
|
||||
|
||||
Melody
|
||||
|
||||
|
||||
|
||||
Hyperpop
|
||||
|
||||
New
|
||||
|
||||
Dance
|
||||
|
||||
Club
|
||||
|
||||
|
||||
|
||||
Electronic
|
||||
|
||||
New
|
||||
|
||||
Drive
|
||||
|
||||
Sports
|
||||
|
||||
[Audio 1](https://minimax.io/)
|
||||
|
||||
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/music-generation)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2.7
|
||||
|
||||
Enable Self-Improvement for Models, with Significant Improvement in Practical Capabilities Compared to M2.5
|
||||
|
||||
[Access API Now](https://platform.minimax.io/docs/api-reference/api-overview)[Try Agent Now](https://agent.minimax.io/)[Learn More](https://minimax.io/models/text/m27)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness Capabilities
|
||||
|
||||
Build self-improvement Agent harness
|
||||
|
||||
|
||||
|
||||
Powerful Engineering & Coding Capabilities
|
||||
|
||||
A model that truly understands production systems
|
||||
|
||||
|
||||
|
||||
Office Scenarios
|
||||
|
||||
Supports complex Excel/Word/PPT office tasks and multi-round editing
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Agent Harness Capabilities
|
||||
|
||||
Build self-improvement Agent harness
|
||||
|
||||
|
||||
|
||||
Powerful Engineering & Coding Capabilities
|
||||
|
||||
A model that truly understands production systems
|
||||
|
||||
|
||||
|
||||
Office Scenarios
|
||||
|
||||
Supports complex Excel/Word/PPT office tasks and multi-round editing
|
||||
|
||||
[Access API Now](https://platform.minimax.io/docs/api-reference/api-overview)
|
||||
|
||||
# 2025 Financial Results
|
||||
|
||||
Towards an AI Era Platform Company
|
||||
|
||||
[Learn More](https://www.minimax.io/news/full-year-2025-financial-results)
|
||||
|
||||
|
||||
|
||||
[Learn More](https://www.minimax.io/news/full-year-2025-financial-results)
|
||||
|
||||
# Token
|
||||
|
||||
|
||||
|
||||
plan
|
||||
|
||||
A cost-effective token package tailored for developers
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/Token-plan/quickstart)[Subscribe](https://platform.minimax.io/subscribe/token-plan)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Top Model
|
||||
|
||||
Production-Ready Delivery
|
||||
|
||||
|
||||
|
||||
Unlimited Monthly Plan
|
||||
|
||||
No Worries, More Value the More You Use
|
||||
|
||||
|
||||
|
||||
Out-of-the-Box
|
||||
|
||||
One-Click Integration with Leading Dev Tools
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Top Model
|
||||
|
||||
Production-Ready Delivery
|
||||
|
||||
|
||||
|
||||
Unlimited Monthly Plan
|
||||
|
||||
No Worries, More Value the More You Use
|
||||
|
||||
|
||||
|
||||
Out-of-the-Box
|
||||
|
||||
One-Click Integration with Leading Dev Tools
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/Token-plan/quickstart)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Hailuo 2.3
|
||||
|
||||
Breathtaking Motion, Lifelike Emotion.
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/video-generation-t2v)[Try Hailuo Now](https://hailuoai.video/)[Learn More](https://minimax.io/news/minimax-hailuo-23)
|
||||
|
||||
[Video 1](https://file.cdn.minimax.io/public/b3330113-abb4-425c-979d-851840ed6f17.mp4)
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/video-generation-t2v)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Speech 2.8
|
||||
|
||||
Breathing life into AI voice
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/speech-t2a-http)[Try Audio Now](https://www.minimax.io/audio)[Learn More](https://minimax.io/news/minimax-speech-28)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Bedtime Whispers
|
||||
|
||||
Japanese · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Horror Story
|
||||
|
||||
English · Horror
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Goblin's Trade
|
||||
|
||||
English · Character
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Bedtime Whispers
|
||||
|
||||
Japanese · ASMR
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Horror Story
|
||||
|
||||
English · Horror
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Goblin's Trade
|
||||
|
||||
English · Character
|
||||
|
||||
|
||||
|
||||
[Audio 2](https://minimax.io/)
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/speech-t2a-http)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
Agent
|
||||
|
||||
Intelligent assistant providing comprehensive support for your work and life.
|
||||
|
||||
[Desktop](https://agent.minimax.io/download)[Try Agent Now](https://agent.minimax.io/)[Learn More](https://minimax.io/news/minimax-agent)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Build Agent Team
|
||||
|
||||
Evaluate tasks and assemble teams to solve problems.
|
||||
|
||||
|
||||
|
||||
Know Your Habits
|
||||
|
||||
Learn how you work and turn repetitive tasks into custom skills.
|
||||
|
||||
|
||||
|
||||
All in One Chat
|
||||
|
||||
Skills, memories, schedules, and more, all in one chat.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Build Agent Team
|
||||
|
||||
Evaluate tasks and assemble teams to solve problems.
|
||||
|
||||
|
||||
|
||||
Know Your Habits
|
||||
|
||||
Learn how you work and turn repetitive tasks into custom skills.
|
||||
|
||||
|
||||
|
||||
All in One Chat
|
||||
|
||||
Skills, memories, schedules, and more, all in one chat.
|
||||
|
||||
[Desktop](https://agent.minimax.io/download)
|
||||
|
||||
# MiniMax
|
||||
|
||||
|
||||
|
||||
M2-her
|
||||
|
||||
Multi-Character Roleplay, Immersive Long-horizon Interaction
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/text-chat)[Learn More](https://www.minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2)
|
||||
|
||||
|
||||
|
||||
[Access API](https://platform.minimax.io/docs/api-reference/text-chat)
|
||||
|
||||
## Full-Stack Model Matrix
|
||||
|
||||
Covering five major areas: text, speech, video, image, and music. Helping developers efficiently build intelligent applications
|
||||
|
||||
[ NEW MiniMax M2.7 Text Model Model Self-Improvement, Driving Productivity Innovation Through Technological Breakthroughs](https://minimax.io/news/minimax-m27-en)
|
||||
|
||||
[ NEW MiniMax Music 2.6 Music Model Cover Reborn, Bass Redefined](https://www.minimax.io/news/music-26)
|
||||
|
||||
[[Video 2](https://filecdn.minimax.chat/public/023fd855-f068-436a-9f68-372bf643cd91.mp4) NEW Hailuo 2.3 / 2.3 Fast Video Model Breathtaking Motion, Lifelike Emotion.](https://minimax.io/news/minimax-hailuo-23)
|
||||
|
||||
[ NEW MiniMax Speech 2.8 Audio Model Breathing life into AI voice](https://minimax.io/news/minimax-speech-28)
|
||||
|
||||
[ NEW MiniMax M2-her Text Model Multi-Character Roleplay, Immersive Long-horizon Interaction](https://www.minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2)
|
||||
|
||||
[ MiniMax MCP Server MCP Video, Image, Speech generation and Voice Cloning Tools Now Available for Developers](https://minimax.io/news/minimax-mcp)
|
||||
|
||||
## AI Product Matrix
|
||||
|
||||
From intelligent conversations to video creation, from voice synthesis to virtual characters, MiniMax creates an all-around AI experience for you
|
||||
|
||||
[ MiniMax Agent Simple commands, unlimited creativity](https://agent.minimax.io/)
|
||||
|
||||
[ Hailuo Video Every idea is a blockbuster](https://hailuoai.video/)
|
||||
|
||||
[ MiniMax Audio Ultra-realistic AI voice creation](https://www.minimax.io/audio)
|
||||
|
||||
[ NEW Hailuo Video Agent Vibe Videoing — Zero barrier, instant output](https://minimax.io/news/video-agent)
|
||||
|
||||
[ Talkie Immerse yourself in Talkie](https://www.talkie-ai.com/)
|
||||
|
||||
## MiniMax
|
||||
|
||||
A World-Leading General AI Technology Company
|
||||
|
||||
Founded in early 2022, MiniMax is driven by the mission to 'co-create intelligence with everyone,' dedicated to advancing the frontiers of AI and achieving Artificial General Intelligence (AGI). MiniMax has independently developed a series of multimodal foundation models with powerful code and Agent capabilities, as well as ultra-long context processing, capable of understanding, generating, and integrating multiple modalities including text, audio, image, video, and music.
|
||||
|
||||
Building on these proprietary models, MiniMax has launched a suite of AI-native products worldwide, including MiniMax Agent, Hailuo AI, MiniMax Audio, Talkie, and an open platform for enterprises and developers — delivering cutting-edge intelligent experiences to users around the globe.
|
||||
|
||||
0+
|
||||
|
||||
Countries & Regions Served
|
||||
|
||||
0 M+
|
||||
|
||||
Global Individual Users
|
||||
|
||||
214,000+
|
||||
|
||||
Enterprise Clients & Developers
|
||||
|
||||
0+
|
||||
|
||||
Enterprise Coverage Countries
|
||||
|
||||
|
||||
|
||||
[](https://x.com/MiniMax_AI)[](https://www.linkedin.com/company/minimax-ai/)[](mailto:bd@minimax.io "bd@minimax.io")[](https://github.com/MiniMax-AI)[](https://huggingface.co/MiniMaxAI)[](https://discord.gg/DPC4AHFCBw)
|
||||
|
||||
###### Research
|
||||
|
||||
* [MiniMax M2.7](https://www.minimax.io/news/minimax-m27-en)
|
||||
* [MiniMax M2.5](https://www.minimax.io/news/minimax-m25)
|
||||
* [MiniMax M2-her](https://minimax.io/news/a-deep-dive-into-the-minimax-m2-her-2)
|
||||
* [MiniMax M2.1](https://www.minimax.io/news/minimax-m21)
|
||||
* [MiniMax M2](https://www.minimax.io/news/minimax-m2)
|
||||
* [MiniMax Speech 2.8](https://www.minimax.io/news/minimax-speech-28)
|
||||
* [MiniMax Hailuo 2.3](https://www.minimax.io/news/minimax-hailuo-23)
|
||||
* [MiniMax Music 2.6](https://www.minimax.io/news/music-26)
|
||||
* [MiniMax Music 2.5+](https://www.minimax.io/news/minimax-music-25-2)
|
||||
* [MiniMax Music 2.0](https://www.minimax.io/news/minimax-music-20)
|
||||
|
||||
###### Product
|
||||
|
||||
* [Agent](https://agent.minimax.io/)
|
||||
* [Video Hailuo](https://hailuoai.com/video)
|
||||
* [Audio](https://www.minimax.io/audio)
|
||||
* [Talkie](https://www.talkie-ai.com/)
|
||||
|
||||
###### API
|
||||
|
||||
* [Developer Docs](https://platform.minimax.io/docs/guides/models-intro)
|
||||
* [Token Plan](https://platform.minimax.io/subscribe/token-plan)
|
||||
* [Pricing](https://platform.minimax.io/docs/pricing/overview)
|
||||
* [Console Login](https://platform.minimax.io/user-center/basic-information)
|
||||
* [Status](https://status.minimax.io/)
|
||||
|
||||
###### Company
|
||||
|
||||
* [About Us](https://www.minimax.io/about)
|
||||
* [Terms of Service](https://www.minimax.io/terms-of-service-v2.html)
|
||||
* [Privacy Policy](https://www.minimax.io/privacy-policy-v2.html)
|
||||
|
||||
###### News
|
||||
|
||||
* [What's New](https://www.minimax.io/news)
|
||||
|
||||
© 2026 MiniMax
|
||||
|
||||
### Cookie Consent
|
||||
|
||||
We use cookies to analyze website usage to improve your experience.
|
||||
|
||||
By clicking "Accept All Cookies", you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. You may click **Customize** to reject non-essential cookies or personalize the types of cookies you would like to allow.
|
||||
|
||||
[Read our Cookies Policy](https://minimax.io/protocol/cookie-policy)
|
||||
|
||||
Reject All Customize Accept All Cookies
|
||||
@@ -0,0 +1,148 @@
|
||||
---
|
||||
title: "URL Source: https://m.36kr.com/infoflow/"
|
||||
source_url: https://m.36kr.com/infoflow/
|
||||
source_tool: jina
|
||||
fetched_at: 2026-05-22T01:12:00.425Z
|
||||
---# URL Source: https://m.36kr.com/infoflow/
|
||||
|
||||
Published Time: 2026-05-22T09:11:57+08:00
|
||||
|
||||
Warning: Target URL returned error 404: Not Found
|
||||
|
||||
|
||||
|
||||
[](https://m.36kr.com/usercenter/basicinfo)[账号设置](https://m.36kr.com/usercenter/account-password "账号设置")[我的关注](https://m.36kr.com/usercenter/follow "我的关注")[我的收藏](https://m.36kr.com/usercenter/favorite "我的收藏")[申请的报道](https://m.36kr.com/seek-report-new?tabKey=2 "申请的报道")[退出登录](https://m.36kr.com/infoflow/ "退出登录")
|
||||
|
||||
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|
||||
|
||||
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|
||||
|
||||
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|
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|
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[城市合作](https://m.36kr.com/station-business)
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||||
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||||
|
||||
抱歉，您要查看的数据不存在或已被删除。
|
||||
|
||||
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|
||||
|
||||
* [城市合作](https://m.36kr.com/station-business)
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36氪APP下载
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||||
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||||
|
||||
36氪APP 让一部分人先看到未来
|
||||
|
||||
36氪
|
||||
|
||||
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|
||||
|
||||
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|
||||
|
||||
|
||||
推送和解读前沿、有料的科技创投资讯
|
||||
|
||||
|
||||
一级市场金融信息和系统服务提供商
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||||
|
||||
|
||||
聚焦全球优秀创业者，项目融资率接近97%，领跑行业
|
||||
9290
sandbox/2026-05/2026-05-22_今日热榜_61e0997f.md
Normal file
9290
sandbox/2026-05/2026-05-22_今日热榜_61e0997f.md
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user