DeepSeek 发布 V4.1-Flash-1017 开放权重模型
据 testingcatalog 在 X 上转述的 DeepSeek 公告，DeepSeek 推出开放权重模型 DeepSeek-V4.1-Flash-1017，并称其在 DeepSWE 1.1 基准上得分 77%，超过 GLM-5.3、Kimi K3 以及 GPT-5.6 Sol、Opus 5 等模型。该帖称模型已在 DeepSeek Chat、API 和 HuggingFace 上线，并针对 DeepSeek Harness 与腾讯 CodeBuddy 做了优化。DeepSeek 的公告还称新版本基准更强、任务完成更快、输出更短，是性能与成本上的帕累托改进，但上述比较与「极其便宜」的说法均未提供独立验证或价格数字。
若该开放权重模型的表现与可用性如公告所述，开发者将多一个可在 DeepSeek Chat、API 与 HuggingFace 上直接获取的高性价比选项。
BREAKING 🔥: DeepSeek released DeepSeek-V4.1-Flash-1017, a new open-weight model with frontier performance. > It scores 77% on DeepSWE 1.1 benchmark, outperforming GLM-5.3, Kimi K3 and models like GPT-5.6 Sol and Opus 5. > The model is now available on DeepSeek Chat and APIs as well as HuggingFace. It also extremely cheap! 👀
DeepSeek: 🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy,
#DeepSeek#DeepSeek-V4.1-Flash-1017#HuggingFace#DeepSeek Harness#Tencent CodeBuddy#GLM-5.3#Kimi K3#GPT-5.6 Sol#Claude Opus 5