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deepseek-ai

DeepSeek V4.1 Flash 1017 listed on OpenRouter

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Por ahora esta nota solo está disponible en inglés.

DeepSeek V4.1 Flash 1017 (batch) is listed on OpenRouter for the first time, priced at $0.011 per million input tokens and $0.2 per million output tokens.

Precio en OpenRouter, por 1M de tokens

Medido el 12 de noviembre de 2026

DeepSeek: DeepSeek V4.1 Flash 1017 (batch)
Entrada /M tokens
0,011 US$
Salida /M tokens
0,20 US$

Model details

The model has 763.2 billion parameters and a context window of 1,048,576 tokens. It is open weights and was released on 2026-10-17. Its Hugging Face ID is deepseek-ai/DeepSeek-V4.1-Flash-1017. No free variant is available.

Official announcement

deepseek-ai announced deepseek-ai/DeepSeek-V4.1-Flash-1017. According to deepseek-ai, DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash. deepseek-ai says DeepSeek-V4.1-Flash-1017 delivers substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. deepseek-ai says The model reduces task execution time and output length. deepseek-ai says The model enables users to complete tasks faster and at lower cost. deepseek-ai says The model advances the performance–cost Pareto frontier across multiple agent harnesses. According to deepseek-ai, HLE w/o tools score for DS-V4.1-Flash-1017 is 42.6 (44.0†). deepseek-ai says Terminal-Bench 4.0 score for DS-V4.1-Flash-1017 is 42.3. deepseek-ai says DeepSWE v1.1 score for DS-V4.1-Flash-1017 is 77.0. deepseek-ai says ProgramBench score for DS-V4.1-Flash-1017 is 29.1. deepseek-ai says NL2Repo-Bench score for DS-V4.1-Flash-1017 is 68.2. deepseek-ai says Automation-Bench v1.0.6 score for DS-V4.1-Flash-1017 is 60.5. deepseek-ai says Agents’ Last Exam score for DS-V4.1-Flash-1017 is 35.4.

  • DeepSeek V4.1 Flash 1017 (batch) is now available on OpenRouter at $0.011 per million input tokens and $0.2 per million output tokens.
  • The model has 763.2 billion parameters and a 1,048,576-token context window.
  • deepseek-ai announced the model as a minor update to DeepSeek-V4.1-Flash with benchmark claims across reasoning, coding, agentic, and visual tasks.