DeepSeek V4.1-Flash 更新：更快更省，开放搜索 API
DeepSeek 于 10 月 17 日推出 DeepSeek-V4.1-Flash-1017，官方称其为一次“小更新”：沿用原有架构与 552B 参数规模，但缩短任务执行时间与输出长度；网页端、App 与 API 同步上线，API 价格不变，权重以 MIT 许可发布于 Hugging Face。DeepSeek 自测显示其在 DeepSWE v1.1 上的通过率升至 77%，上一版约为 74%；36氪的实测文章提到 Terminal-Bench 4.0 从 31.2 分升到 42.3 分，单个 DeepSWE 任务的平均开销从约 0.49 美元降到约 0.20 美元。同期 DeepSeek 把自研搜索拆成 Search 与 Fetch 两个接口开放，每 1000 次成功请求收费 5 元人民币，并针对 DeepSeek Harness、腾讯 CodeBuddy 与 WorkBuddy 做了适配；AIbase 报道称该版本登顶 Code Arena WebDev 开源模型榜，这一点未获其他来源印证。
DeepSeek 把这次更新的卖点放在“完成一个任务的成本”而非单纯的 token 价格，并把自研搜索与抓取能力一并开放给智能体开发者。
Chinese artificial intelligence startup Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd. has released an updated version of its V4.1-Flash model that it says completes tasks faster.
DeepSeek-V4.1-Flash-1017 arrives a little over five weeks after the company launched the original V4.1-Flash as the smallest model in a new architecture family. Its model card on Hugging Face calls the release a “minor update” that “reduces task execution time and output length.” DeepSeek did not say by how much.
Price was the selling point in September, with off-peak application programming interface rates starting at 15 cents per million uncached input tokens. After that release, Bloomberg reported Saturday, shares of Chinese rivals MiniMax Group Inc. and Alibaba Group Holding Ltd. fell in Hong Kong.
The update resolved 77% of tasks on the DeepSWE v1.1 software engineering test in DeepSeek’s own testing, up from 74.2% for the September version. Anthropic PBC’s Claude Opus 5 sits at 74% in the same table. Seven of the 11 benchmarks DeepSeek published still go to Anthropic’s model, and the margin on Humanity’s Last Exam runs to almost 14 points.
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