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.
Amazon Nova Pro is a cutting-edge multimodal model designed to handle text, image, and video inputs with advanced processing capabilities. Featuring a 300K-token context window, it excels in document analysis, visual question answering, and complex agent-driven workflows. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling deep customization for various applications.
| DeepSeek-R1 | Nova Pro | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text | text images video |
API Providers
| DeepSeek, HuggingFace | Amazon Bedrock |
Knowledge Cut-off Date
| Unknown | Purposefully not disclosed |
Open Source
| Yes | No |
Pricing Input
| $0.55 per million tokens | $0.80 per million tokens |
Pricing Output
| $2.19 per million tokens | $3.20 per million tokens |
MMLU
| 90.8% Pass@1 Source | 85.9% CoT Source |
MMLU-Pro
| 84% EM Source | Not available |
MMMU
| - | Not available |
HellaSwag
| - | Not available |
HumanEval
| - | 89% pass@1 Source |
MATH
| - | 76.6% CoT Source |
GPQA
| 71.5% Pass@1 Source | 46.9% Main Source |
IFEval
| 83.3% Prompt Strict Source | 92.1% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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