Model Comparison
DeepSeek R1 Zero vs Mistral Large 3 (675B Instruct 2512 NVFP4)
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Mistral Large 3 (675B Instruct 2512 NVFP4) has 4.0B more parameters than DeepSeek R1 Zero, making it 0.6% larger.
Input Capabilities
Supported data types and modalities
Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
Mistral Large 3 (675B Instruct 2512 NVFP4)
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.
Mistral Large 3 (675B Instruct 2512 NVFP4) is 11 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Dec 4, 2025
4 months ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Mistral Large 3 (675B Instruct 2512 NVFP4)