DeepSeek-R1
by DeepSeek
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About
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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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
2 benchmarks
Average Score
32.8%
Best Score
62.4%
High Performers (80%+)
0Performance Metrics
Max Context Window
136.0KTop Categories
Science
62.4%
Agents
3.1%
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All Benchmark Results for DeepSeek-R1
Complete list of benchmark scores with detailed information
| GPQA Diamond | Science | 62.40 | 62.4% | Unverified | |
| BrowseComp | Agents | 3.10 | 3.1% | Unverified |