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DeepSeek Releases Open-Weight V4.1-Flash-1017 to Challenge OpenAI and Anthropic

The update combines higher benchmark claims with MIT-licensed open weights and a new Search & Fetch API, raising developer interest even as capacity and verification concerns remain.

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Photo: Google DeepMind / Pexels
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Overview

  • DeepSeek announced V4.1-Flash-1017 on Oct. 17, 2026, saying the model is faster, produces shorter outputs and posts stronger benchmark scores than its prior Flash release.
  • The company published technical notes and open-sourced the model weights under an MIT license on Hugging Face and ModelScope to lower barriers for developers.
  • DeepSeek reported a 77.0% score on the DeepSWE v1.1 coding test and HLE results of 36.8–42.6, figures the firm says reflect improved reasoning, coding and agentic abilities.
  • For the first time DeepSeek opened its Search & Fetch APIs to outside developers with introductory free access until Nov. 1 and pricing of $0.75 per 1,000 calls.
  • Operational risks persist after a recent roughly five-hour outage and growing slowdowns, and independent testing has not yet verified DeepSeek’s performance and reliability claims.