Model Terminal
DeepSeek-R1
DeepSeek-R1 is a 671B-parameter mixture-of-experts reasoning model (37B activated per token) released by DeepSeek in January 2025, trained with large-scale reinforcement learning to achieve benchmark-competitive performance on math, coding, and multi-step inference tasks. It is released as open weights and positioned as a cost-efficient alternative to closed frontier reasoning systems such as OpenAI o1. Source: supabase.
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Context
128K
tokens
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tokens
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Capability radar
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Identity
- Developer
- deepseek-ai
- Openness
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- Modalities
- Text-generation
- Release
- 2025-01-20
- Knowledge cutoff
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- Deprecation
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- API docs
- Provider docs
Benchmarks
- GPQA71.5 · 2025-01-20 · source
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Pricing
- Input / 1M
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- Speed
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