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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The WorkBuddy International Edition has been updated to the latest DeepSeek-V4.1-Flash-1017 and is free to use until October 31. The cited original DeepSeek post said that this version is stronger on benchmarks, completes tasks faster, and produces shorter outputs; it is now live on the official website, app, and API, and has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others. Users are advised to upgrade to DeepSeek Harness v0.2.1-rc.1 or a later version.
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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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Hao AI Lab releases the ORA (Open Robot-Use Agents) open-source framework, powered by DeepSeek-V4.1-Flash, which operates robots zero-shot from visual input without VLA and can compete with frontier model agents. ORA achieves 69.2% on RoboTwin and 81.4% on LIBERO-Pro; by comparison, RPent achieves 62.4%/58.4% on RoboTwin (GPT-5.5/Opus-4.7) and 82.4% on LIBERO-Pro (Opus-4.7). It works similarly to a coding agent, completing the loop through prompts, perception and action tools, and context management; the same framework can run ARX X5, ALOHA, and Franka, with a model cost of about $0.30–0.35 per solved case. In preliminary real-robot tests, DeepSeek-V4.1-Flash used a low-cost robotic arm, a fixed RGB-D camera, and a wrist camera to pull open a drawer handle and put candy into a box.
Hao AI Lab releases the ORA (Open Robot-Use Agents) open-source framework, powered by DeepSeek-V4.1-Flash, which operates robots zero-shot from visual input without VLA and can compete with frontier model agents. ORA achieves 69.2% on RoboTwin and 81.4% on LIBERO-Pro; by comparison, RPent achieves 62.4%/58.4% on RoboTwin (GPT-5.5/Opus-4.7) and 82.4% on LIBERO-Pro (Opus-4.7). It works similarly to a coding agent, completing the loop through prompts, perception and action tools, and context manage
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