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DeepSeek releases DeepSeek-V4.1-Flash-1017 on its website, app, and API
- Who
- DeepSeek
- What
- released DeepSeek-V4.1-Flash-1017
- When
What happened
🚀 DeepSeek-V4.1-Flash-1017 is here! DeepSeek reports stronger benchmark performance, faster task completion, and shorter outputs than the previous version, describing a Pareto improvement in performance and cost. The model is now live on its website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. DeepSeek recommends upgrading to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
Why it matters
The comparison with the previous version connects benchmark gains to task completion time and output length, providing context for the release’s stated performance and cost improvement.
Reported by 2 sources
The story so far
DeepSeek released DeepSeek-V4.1-Flash-1017 on its website, app, and API, and Ollama has now added it to Ollama Cloud with what Ollama says is US-based hosting and zero data retention. DeepSeek says the update improves benchmark performance, completes tasks faster, and produces shorter outputs than the previous version. It says the model is optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and other tools, and recommends DeepSeek Harness v0.2.1-rc.1 or later. Ollama provides access through the model tag deepseek-v4.1-flash:1017-cloud, including integrations with Claude Code and OpenCode. Ollama describes the model as strong on agentic tasks and cheaper per task. Separately, vLLM reports serving DeepSeek-V4.1-Flash on SemiAnalysis AgentX at 1.3 billion tokens per dollar of total cost of ownership and 830,000 tokens per second per GPU, counting cached, input, and output tokens, at 100 tokens per second per user. Those figures apply to DeepSeek-V4.1-Flash, rather than specifically the 1017 update. Baoyu reports that the web search API will cost 5 yuan per 1,000 calls starting November 1.
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