DeepSeek published V4.1-Flash-1017 on October 17 and describes it as a minor update to V4.1-Flash. According to the model card as summarized by Aiholics, it improves reasoning, coding, agentic and visual tasks while shortening task time and output length.
The model has about 763 billion parameters and a 1M-token context window, and the MIT license covers the weights.
DeepSeek's self-reported scores include Terminal-Bench 4.0 at 42.3, up from 31.2, DeepSWE v1.1 at 77.0, and Humanity's Last Exam without tools at 42.6, up from 36.8. On several other tests the card shows Claude Opus 5 ahead. Aiholics' price tracker lists it at $0.15 per million input tokens and $0.60 per million output.