DeepSeek R1 Distill Llama 70B vs Mistral Large 3 (675B Instruct 2512 Eagle)
DeepSeek R1 Distill Llama 70B and Mistral Large 3 (675B Instruct 2512 Eagle) are closely matched at 14.6 and 8.4 on the LLM Stats Score.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and Mistral Large 3 (675B Instruct 2512 Eagle) are closely matched on the overall LLM Stats Score at 14.6 and 8.4.
In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Mistral Large 3 (675B Instruct 2512 Eagle)
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
1.6 years ago
Dec 4, 2025
9 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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Mistral Large 3 (675B Instruct 2512 Eagle).
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