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.
OpenAI o3 is the most advanced reasoning model from OpenAI, purpose-built for handling complex, high-cognition tasks. Launched in April 2025, it delivers exceptional performance in software engineering, mathematics, and scientific problem-solving. The model introduces three levels of reasoning effort—low, medium, and high—allowing users to balance between latency and depth of reasoning based on task complexity. o3 supports essential tools for developers, including function calling, structured outputs, and system-level messaging. With built-in vision capabilities, o3 can interpret and analyze images, making it suitable for multimodal applications. It’s available through Chat Completions API, Assistants API, and Batch API for flexible integration into enterprise and research workflows.
| DeepSeek-R1 | o3 | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
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 | $10.00 per million tokens |
Pricing Output
| $2.19 per million tokens | $40.00 per million tokens |
MMLU
| 90.8% Pass@1 Source | 82.9% Source |
MMLU-Pro
| 84% EM Source | - |
MMMU
| - | - |
HellaSwag
| - | - |
HumanEval
| - | - |
MATH
| - | - |
GPQA
| 71.5% Pass@1 Source | 83.3% Diamond, no tools Source |
IFEval
| 83.3% Prompt Strict Source | - |
SimpleQA
| - | - |
AIME 2024 | - | 91.6% Source |
AIME 2025 | - | 88.9% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application |
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