DeepSeek R1
ActiveOpen-weight reasoning model matching o1 performance, fully open-source.
Overview
DeepSeek R1 is a reasoning model trained with reinforcement learning to produce chain-of-thought before answering. It matches or exceeds OpenAI o1 on several math and coding benchmarks and is available as a fully open-weight model.
Benchmarks
| Benchmark | Score | Source |
|---|---|---|
| AIME 2024Math | 79.8% accuracy | Self-reported DeepSeek R1 paper |
| Aider PolyglotCoding | 56.9% pass@2 | Third-party Papers With Code |
| GPQA DiamondReasoning | 71.5% accuracy | Self-reported DeepSeek R1 paper |
| MATHMath | 97.3% accuracy | Self-reported DeepSeek R1 paper |
| MMLUGeneral knowledge | 90.8% accuracy | Self-reported DeepSeek R1 paper |
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Fair value
Mid-tier performance and pricing — standard choice.
- Quality percentile
- 62.5%
- Effective price
- $1.78/1M
- Pricing breakdown
- $0.55/1M in
$2.19/1M out
vs 5 benchmarks
/ 1M tokens (input + 3× output)
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Comments
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