DeepSeek · Open-Weight LLM

DeepSeek-V4.1-Flash-1017

A minor update to DeepSeek-V4.1-Flash, uploaded to Hugging Face on 17 October with MIT-licensed FP8 weights and a 1M-token context. DeepSeek reports gains in reasoning, coding, agent and vision tasks with shorter outputs: 42.3 on Terminal-Bench 4.0 against 31.2 for the previous Flash, 77.0 on DeepSWE v1.1 and 42.6 on HLE without tools, all self-reported. There is no Jinja chat template; a Python encoding reference and the deepseek-recipe Rust libraries handle prompts. The card recommends temperature 1.0 and max tokens of 256K or more. 2,814 likes. Follows DeepSeek-V4.1-Flash covered in week 37.