SaaS Metrics
Gemini Executive Synthesis
deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model)
Technical Positioning
Performance and quality of `v4pro` as a local large language model for programming and task automation.
SaaS Insight & Market Implications
This issue expresses extreme dissatisfaction with the `v4pro` model, particularly when used within Claude for programming and task automation. The user questions `v4pro`'s reputation as a 'best local large model,' citing its inability to perform basic programming tasks effectively. This highlights a critical gap between marketing claims and actual performance for AI models. Developer pain points include wasted time, frustration with poor output quality, and a perceived lack of transparency regarding model limitations. For B2B SaaS providers integrating or offering AI models, this underscores the imperative for realistic performance expectations, robust quality assurance, and clear communication of model capabilities to prevent user churn and reputational damage.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
GitHub Issue
May 7, 2026
Repo: deepseek-ai/awesome-deepseek-agent
v4pro很差劲呀，为什么没有差评？是之前更差？
我用v4放在claude里使用，让v4生成程序、编程、帮我整理桌面，统统无法直视！这不是号称最好的本地大模型吗？是我不会使用，还是这个太差了，没有人投诉？我也用K2.6，虽然我一直骂K2.6是仆街，觉得K2.5好。但我真的忍不住在claude里不断问候V4pro全家，祝它全家开心！
Developer Debate & Comments
> 我用v4放在claude里使用，让v4生成程序、编程、帮我整理桌面，统统无法直视！这不是号称最好的本地大模型吗？是我不会使用，还是这个太差了，没有人投诉？我也用K2.6，虽然我一直骂K2.6是仆街，觉得K2.5好。但我真的忍不住在claude里不断问候V4pro全家，祝它全家开心！ 投你妈， 爱用不用。这个版本编程能力明显强非常多， 重点是上下文能达到1M
> 我用v4放在claude里使用，让v4生成程序、编程、帮我整理桌面，统统无法直视！这不是号称最好的本地大模型吗？是我不会使用，还是这个太差了，没有人投诉？我也用K2.6，虽然我一直骂K2.6是仆街，觉得K2.5好。但我真的忍不住在claude里不断问候V4pro全家，祝它全家开心！ 为什么你说的话一点逻辑没有，像个伪人
不知道你是出于什么目的提出了这个issue, 如果有疑问请提供你的证据 @2rmb4654rj-art
> 我用v4放在claude里使用，让v4生成程序、编程、帮我整理桌面，统统无法直视！这不是号称最好的本地大模型吗？是我不会使用，还是这个太差了，没有人投诉？我也用K2.6，虽然我一直骂K2.6是仆街，觉得K2.5好。但我真的忍不住在claude里不断问候V4pro全家，祝它全家开心！ 只能说废物用啥都是废物。
用起来很好用
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from deepseek-ai/awesome-deepseek-agent.
请求接入最新的codex
10
Top Replies
+1
+1
https://github.com/deepseek-ai/awesome-deepseek-agent/issues/5#issuecomment-4343372611 @ainioayi @meteor-liu-xinyu @bluesea117
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配置了 Model 还是会报错。 报错信息： message: Invalid custom3p enterprise config: inferenceModels: configured model "deepseek-v4-flash" is not an Anthropic model. Gateway deployments require an Ant...
window 11
在下方添加下自定义大模型列表, 就可以了
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不止是 chat/completions接口，还有很多地方不适配
我昨晚问ds 还说最推荐codex使用，结果看官方文档里根本没有列出codex的配置方法...... 昨晚是这么回答的 Codex (极其丝滑) 你只需要找到配置文件 (~/.codex/config.json)，填入以下内容即可： json { "model": "...
> 我昨晚问ds 还说最推荐codex使用，结果看官方文档里根本没有列出codex的配置方法...... 😄️，AI就是这样，不会的不会说不会，一定给你瞎编出来
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check https://github.com/Agents365-ai/dsclaude I fixed it, it worked now
> check https://github.com/Agents365-ai/dsclaude I fixed it, it worked now 牛逼兄弟，但是这个官方我觉得应该也要重视一下吧
不知道是那边更新导致的，有可能是deepseek 有可能是claude code 更新导致的不兼容的一个小问题
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为啥呢？
https://github.com/Vizards/deepseek-v4-for-copilot 应该就是这个插件，从release里面下载离线包安装吧
因为大家太热情，下载量增长太快触发了自动风控，已与 vscode marketplace 团队联系，仍在等待处理
Frequently Asked Questions
Market intelligence mapped to deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model).
How is deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model) positioned in the market?
Based on our AI analysis of the original developer request, its primary technical positioning is: Performance and quality of `v4pro` as a local large language model for programming and task automation.
How is the developer community reacting to deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model)?
Yes, we have tracked 3 direct responses and active debates regarding this specific topic originating from GitHub Issue.
Which technical concepts are associated with deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model)?
Our proprietary extraction maps deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model) to adjacent architectural concepts including v4pro, claude, 本地大模型, 生成程序.
Which commercial products utilize deepseek-ai/awesome-deepseek-agent (specifically `v4pro` model)?
Yes, market intelligence reveals commercial overlap. A product named 'Google Gemma 4' focuses directly on this: Google's most intelligent open models to date
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like claude and v4pro by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.