Pyyan / Compare / DeepSeek V4.1 Flash vs DeepSeek V4-Pro
DeepSeek V4.1 Flash vs DeepSeek V4-Pro
2 of 5Open-Weight Models · verified 20 Oct 2026
DeepSeek V4.1 FlashDeepSeekcurrent DeepSeek V4-ProDeepSeekcurrent | Specification | DeepSeek V4.1 Flash | DeepSeek V4-Pro |
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| Summary | Twice the parameters of the Flash it replaces, and cheaper to run. | Best all-round open model of 2026. |
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| Context | 1M | — |
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| Input ($/Mtok) | $0.3 | — |
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| Output ($/Mtok) | $1.2 | — |
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| Licence | MIT | MIT |
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| Max output | 256K | — |
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| Parameters | 552B total, 8B / 16B active | — |
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| Released | 10 Sep 2026, refreshed 17 Oct | — |
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| Model ID | deepseek-flash | — |
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| Category | Open-Weight Models | Open-Weight Models |
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| Official | DeepSeek ↗ | DeepSeek ↗ |
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Highlighted rows are where these differ.
DeepSeek V4.1 Flash
- 552B total, 8B active while reading the prompt and 16B while generating, with a 1M token context
- DeepSeek says it beats V4-Pro; V4-Pro requests route to it from 14 September 2026
- MIT licence, native image input, and a KV cache about a quarter the size of V4-Flash's
- Refreshed on 17 October as V4.1-Flash-1017, still MIT, improving on all eleven benchmarks DeepSeek published
Best for cheap agentic coding with images.
Full spec sheet →
DeepSeek V4-Pro
- Tops open leaderboards on agentic coding and reasoning
- MIT licence — no conditions
- Pioneered aggressive cache-hit pricing at ~$0.07/M
- DeepSeek routes all V4-Pro requests to V4.1 Flash from 14 September 2026
Best for everything open.
Full spec sheet →