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DeepSeek-R1
About DeepSeek-R1
DeepSeek-R1 is an AI model developed by DeepSeek, in the language category, released in 2025, made available as an open-weights model with 671B params.
On this page you'll find DeepSeek-R1's full specifications, including 27 benchmark results. Review provider pricing and benchmark scores below, or compare DeepSeek-R1 head-to-head with other language models.
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Run DeepSeek-R1 locally — what it takes
DeepSeek-R1 (671B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 376 GB — it needs a multi-GPU / datacenter setup:
- ≈ 2× AMD Instinct MI325X
- ≈ 3× NVIDIA B200
Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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DeepSeek-R1 benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| Aider Polyglot | code | 53.3% | cited-magistral |
| Codeforces Elo | code | 2,029 | rating-cited-phi4r |
| LiveCodeBench v5 | code | 65.9% | cited-magistral |
| LiveCodeBench v5 | code | 65.9% | lcb-aug24-jan25-cited-phi4r |
| LiveCodeBench v5 | code | 61.01% | |
| AIME 2024 | math | 86.7% | cons@64-cited-exaone |
| AIME 2024 | math | 79.8% | cited-magistral |
| AIME 2024 | math | 78.7% | cited-phi4r |
| AIME 2024 | math | 74.38% | |
| AIME 2025 | math | 80% | cons@64-cited-exaone |
| AIME 2025 | math | 70.4% | cited-phi4r |
| AIME 2025 | math | 70% | cited-magistral |
| AIME 2025 | math | 66.8% | pass@1-cited-exaone |
| AIME 2025 | math | 65.21% | |
| AIME 2025 | math | 65% | cited-s1 |
| HMMT February 2025 | math | 47.08% | |
| HMMT February 2025 | math | 41.7% | cited-phi4r |
| MATH-500 | math | 97.3% | cited-s1 |
| MATH-500 | math | 97.3% | cited-magistral |
| MATH-500 | math | 97.3% | pass@1-cited-exaone |
| Omni-MATH | math | 85 | cited-phi4r |
| Omni-MATH-HARD | math | 51.33% | |
| GPQA Diamond | reasoning | 71.5% | cited-s1 |
| GPQA Diamond | reasoning | 71.5% | cited-magistral |
| GPQA Diamond | reasoning | 71.08% | |
| Humanity's Last Exam | reasoning | 8.6% | text-only-cited-magistral |
| Humanity's Last Exam | reasoning | 8.5% |
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Frequently asked questions
What is DeepSeek-R1? ▶
DeepSeek-R1 is an AI model developed by DeepSeek, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DeepSeek-R1? ▶
DeepSeek-R1 was developed by DeepSeek and released in 2025.
Is DeepSeek-R1 open source or proprietary? ▶
DeepSeek-R1 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DeepSeek-R1 cost? ▶
Pricing for DeepSeek-R1 depends on the provider. See the providers table on this page for the latest API rates.
How does DeepSeek-R1 perform on benchmarks? ▶
DeepSeek-R1 is benchmarked across 27 evaluations on GenAIList, including Aider Polyglot (53.3%). See the full benchmark table below and compare it with other models.
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