Pyyan / Compare / Beam 1.0 vs DeepSeek V4-Pro
Beam 1.0 vs DeepSeek V4-Pro
2 of 5Open-Weight Models · verified 26 Oct 2026
RBeam 1.0Reflectioncurrent
DeepSeek V4-ProDeepSeekcurrent | Specification | Beam 1.0 | DeepSeek V4-Pro |
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| Summary | 501B under Apache 2.0, with nothing asked in return. | Best all-round open model of 2026. |
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| Context | 1M | — |
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| Input ($/Mtok) | $0.25 | — |
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| Output ($/Mtok) | $1 | — |
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| Licence | Apache 2.0 | MIT |
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| Max output | 131K | — |
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| Parameters | 501B total, 23B active | — |
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| Released | 16 Oct 2026 | — |
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| Model ID | reflection/beam-1.0-501b-a23b | — |
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| Category | Open-Weight Models | Open-Weight Models |
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| Official | Reflection ↗ | DeepSeek ↗ |
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Highlighted rows are where these differ.
Beam 1.0
- Apache 2.0, with no attribution clause and no revenue trigger, unlike Meta's Muse licence
- 52 layers, 256 experts, a 1M token context and a knowledge cutoff of 30 June 2026
- Reflection claims comparable answers to leading open models with roughly three times fewer reasoning tokens
- Artificial Analysis scores it 30 on the intelligence index, 19th of 120 models
Best for open weights with no licence conditions attached.
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 →