DeepSeek-R1
by DeepSeek
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About
DeepSeek-R1 is a reasoning model released by DeepSeek in January 2025, developed through pure reinforcement learning without supervised fine-tuning — a training approach that drew significant attention from the research community for demonstrating that RL alone could produce reasoning capabilities previously associated with closed proprietary systems. Released with open weights and permissive licensing, it shifted community expectations about what openly available reasoning models could achieve, and became a widely cited reference point in discussions about reasoning model training methodology.
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Pricing Range
Input (per 1M)$0.55 -$0.55
Output (per 1M)$2.19 -$2.19
Providers1
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Timeline
ReleasedJan 20, 2025
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
1 benchmarks
Average Score
3.1%
Best Score
3.1%
High Performers (80%+)
0Performance Metrics
Max Context Window
136.0KTop Categories
Agents
3.1%
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All Benchmark Results for DeepSeek-R1
Complete list of benchmark scores with detailed information
| BrowseComp | Agents | 3.10 | 3.1% | Unverified |