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DeepSeek Releases V4.1-Flash-1017 with Faster, Shorter Outputs

#deepseek#model release#api#reinforcement learning

DeepSeek has released V4.1-Flash-1017, a new model version now live on its website, app, and API. The model offers improved benchmark performance, faster task completion, and shorter outputs compared to the previous version, and is optimized for tools like DeepSeek Harness, Tencent CodeBuddy, and WorkBuddy. It uses reinforcement learning with self-feedback to improve end-to-end project development, and the Search & Fetch APIs are now open to everyone.

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  1. DeepSeek News
    DeepSeek-V4.1-Flash-1017 Release

    🚀 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 DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. DeepSWE v1.1 Pass@1 vs. cost per task for DeepSeek V4.1 Flash 1017, tested with the mini-swe-v2 harness. 🎮 Build complete projects from scratch DeepSeek-V4.1-Flash-1017 uses reinforcement learning with self-feedback to improve end-to-end project development—from game creation to 3D modeling. See it in action 👇 Example 1: 3D modeling of the Forbidden City Example 2: A web-based racing game Example 3: A Portal 2 recreation built with the Godot engine Example 4: Valley of Ages — a 3D scene tracing the evolution from prehistoric times to the modern era 🔍 Search & Fetch APIs are now open to everyone! P

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