Arena announced that DeepSeek-V4.1-Flash-20261017 (Max) has entered the Arena, ranking first among open-source models in both the Agent Arena and Code Arena: WebDev leaderboards. Arena also mentioned that the 3D world generated by this model, as well as more detailed ranking information, can be viewed in the related post.
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DeepSeek V4.1-Flash has been updated to version V4.1-Flash-1017; the official web, App and API have been updated in sync, and the model weights are available for download on HuggingFace and ModelScope. In the DeepSWE v1.1 test, the new model's max tier achieved a single-task pass rate of 77.0%, 2.8 percentage points higher than the previous version, and the average cost per task dropped from about 3.3 yuan to about 1.3 yuan. DeepSeek also opened to the public the Search and Fetch APIs of its self-developed search engine; both interfaces are priced at 5 yuan per thousand calls, and this part of access via server-side tool calls will be charged per call starting from 00:00 Beijing time on November 1.
DeepSeek V4.1-Flash has been updated to version V4.1-Flash-1017; the official web, App and API have been updated in sync, and the model weights are available for download on HuggingFace and ModelScope. In the DeepSWE v1.1 test, the new model's max tier achieved a single-task pass rate of 77.0%, 2.8 percentage points higher than the previous version, and the average cost per task dropped from about 3.3 yuan to about 1.3 yuan. DeepSeek also opened to the public the Search and Fetch APIs of its sel
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DeepSeek has released DeepSeek-V4.1-Flash-1017, stating that it delivers stronger benchmark performance, faster task completion, and shorter outputs than the previous version, representing a Pareto improvement in performance and cost, and it is now live on the official website, App, and API. The model has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others; using DeepSeek Harness requires upgrading to v0.2.1-rc.1 or a later version.
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DeepSeek releases the open-weight model DeepSeek-V4.1-Flash-1017, scoring 77% on the DeepSWE 1.1 benchmark, surpassing models such as GLM-5.3, Kimi K3, GPT-5.6 Sol, and Opus 5. The model is now available on DeepSeek Chat, the API, and HuggingFace, and the publisher says its performance and cost both improved over the previous version.
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DeepSeek V4.1 Flash 1017 is now live on OpenRouter, with DeepSeek as the first provider and more providers to follow. OpenRouter says this update to V4.1 Flash is more token-efficient and shows notable improvements on agent benchmarks.
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DeepSeek has released DeepSeek-V4.1-Flash-1017, claiming stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now live on the official website, App, and API. This version has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others, and requires upgrading to DeepSeek Harness v0.2.1-rc.1 or later for the best experience. Nathan Lambert thinks its naming approach (a minor version number plus a date tag) is quite absurd, but the benchmark gains are large, and with built-in vision capability it may be stronger than GLM 5.3.
DeepSeek has released DeepSeek-V4.1-Flash-1017, claiming stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now live on the official website, App, and API. This version has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others, and requires upgrading to DeepSeek Harness v0.2.1-rc.1 or later for the best experience. Nathan Lambert thinks its naming approach (a minor version number plus
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