DeepSeek-R1 is a 671B parameter Mixture-of-Experts (MoE) model with 37B activated parameters per token, trained via large-scale reinforcement learning with a focus on reasoning capabilities. It incorporates two RL stages for discovering improved reasoning patterns and aligning with human preferences, along with two SFT stages for seeding reasoning and non-reasoning capabilities. The model achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
| DeepSeek-R1 | GPT-4.1 Nano | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Jan 21, 2025 3 months ago | Apr 14, 2025 3 weeks ago |
Modalities | text | text images |
API Providers | DeepSeek, HuggingFace | OpenAI API |
Knowledge Cut-off Date | Unknown | - |
Open Source | Yes | No |
Pricing Input | $0.55 per million tokens | $0.10 per million tokens |
Pricing Output | $2.19 per million tokens | $0.40 per million tokens |
MMLU | 90.8% Pass@1 Source | 80.1% Source |
MMLU Pro | 84% EM Source | - |
MMMU | - | 55.4% Source |
HellaSwag | - | - |
HumanEval | - | - |
MATH | - | - |
GPQA | 71.5% Pass@1 Source | 50.3% Diamond Source |
IFEval | 83.3% Prompt Strict Source | 74.5% Source |
Array | - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Array | - | - |
Array | - | - |
Array | - | 66.9% Source |
Array | - | 56.2% Image Reasoning Source |
Mobile Application |
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