Models · Updated 17 Oct, 04:03 pm IST

Deepseek releases V4.1-Flash-1017, improves agentic and coding performance

Why it matters for readers: It’s a new open-source model that claims to be faster and cheaper while doing better on several AI benchmarks.

Deepseek-V4.1-Flash-1017 posts higher benchmark scores and outperforms the prior Flash model on agentic, coding and visual tasks.1 3
The update reduces task execution time and produces shorter outputs, which Deepseek says cuts per-task costs and advances the performance–cost Pareto frontier.1 3
Deepseek published model weights as open source on Hugging Face and ModelScope and made the model available via its website, app and API.3
The company uses a post-training method called reinforcement learning with self-feedback (RLSF) to improve end-to-end software project development without human evaluators.3
The model is tuned for use with development harnesses such as Deepseek Harness, Tencent CodeBuddy and WorkBuddy.3

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17 Oct, 01:51 pm · Hacker News (100+ points)
DeepSeek-v4.1-Flash-1017
17 Oct, 02:07 pm · Hacker News (100+ points)
DeepSeek: DeepSeek v4.1 Flash 1017
17 Oct, 04:03 pm · The Decoder
Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs