DeepSeek releases DeepSeek-V4.1-Flash-1017 open-weight model
DeepSeek released DeepSeek-V4.1-Flash-1017, an open-weight model that the testingcatalog X post says scores 77% on the DeepSWE 1.1 benchmark, ahead of GLM-5.3, Kimi K3 and models such as GPT-5.6 Sol and Opus 5. The post says the model is available on DeepSeek Chat, the API and HuggingFace, and that it is optimized for DeepSeek Harness and Tencent CodeBuddy. A DeepSeek message quoted in the post claims stronger benchmark performance, faster task completion and shorter outputs than the previous version — a "Pareto improvement in performance and cost" — but the comparisons and the "extremely cheap" description come with no independent verification or pricing figures.
If the claimed performance and availability hold, developers gain another low-cost open-weight option reachable through DeepSeek Chat, the API and HuggingFace.
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