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 | Gemini 2.5 Flash Lite | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text | text images voice video |
API Providers
| DeepSeek, HuggingFace | Google AI Studio, Vertex AI, Gemini app |
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 | 81.1% Source |
MMLU-Pro
| 84% EM Source | - |
MMMU
| - | 72.9% Source |
HellaSwag
| - | - |
HumanEval
| - | - |
MATH
| - | - |
GPQA
| 71.5% Pass@1 Source | 64.6% Diamond Source |
IFEval
| 83.3% Prompt Strict Source | - |
SimpleQA
| - | 13% Source |
AIME 2024 | - | - |
AIME 2025 | - | 49.8% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | ||
MathArena | ||
| Avg. Score | 82% | - |
AIME 2025 A test based on problems from the American Invitational Mathematics Examination, designed to assess the mathematical skills of models. | 89% | - |
HMMT February 2025 A test based on problems from the Harvard-MIT Mathematics Tournament, February 2025, designed to assess the mathematical skills of models. | 77% | - |
BRUMO 2025 | 92% | - |
SMT 2025 A test based on problems from the Stanford Math Tournament, 2025, designed to assess the mathematical skills of models. | 83% | - |
CMIMC 2025 A test based on problems from the Canadian Mathematical Olympiad, 2025, designed to assess the mathematical skills of models. | 69% | - |
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Comments (1)
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