DeepSeek R1 Distill Llama 70B vs Mistral Large 3 (675B Instruct 2512 Eagle) Comparison
Comparing DeepSeek R1 Distill Llama 70B and Mistral Large 3 (675B Instruct 2512 Eagle) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B 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 Eagle) has 604.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 856.1% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Mistral Large 3 (675B Instruct 2512 Eagle) supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Mistral Large 3 (675B Instruct 2512 Eagle) can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
Mistral Large 3 (675B Instruct 2512 Eagle)
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 Eagle) 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 Distill Llama 70B was released on 2025-01-20, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.
Mistral Large 3 (675B Instruct 2512 Eagle) is 11 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.1 years ago
Dec 4, 2025
3 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
Detailed Comparison
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