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Testing Catalog更新于 10月24日 12:46

DeepSeek 发布开源权重模型 DeepSeek-V4.1-Flash-1017

BREAKING 🔥: DeepSeek released DeepSeek-V4.1-Flash-1017, a new open-weight model with frontier performance.

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DeepSeek 发布开源权重模型 DeepSeek-V4.1-Flash-1017,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。该模型已在 DeepSeek Chat、API 和 HuggingFace 上线,发布方称其性能与成本较上一版均有改善。

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这条内容转述了 DeepSeek 新模型的基准分数、开放渠道和成本定位,读者可以据此判断它在开源模型中的位置。

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DeepSeek

@deepseek_ai

🚀 DeepSeek-V4.1-Flash-1017 来了! 与上一版本相比,基准测试表现更强、任务完成更快、输出更短——在性能与成本上实现帕累托改进。现已上线我们的网站、应用和 API。 🛠️ 针对 @DeepSeekHarness、腾讯 CodeBuddy、WorkBuddy 等进行了优化。升级到 DeepSeek Harness v0.2.1-rc.1 或更高版本,以获得新模型的最佳体验。 1/4

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🚀 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, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

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正文

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! 👀

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Testing Catalog