DeepSeek R1 Distill Llama 8B vs Mistral Large 3 (675B Instruct 2512 NVFP4)
DeepSeek R1 Distill Llama 8B and Mistral Large 3 (675B Instruct 2512 NVFP4) are closely matched at 7.0 and 8.9 on the LLM Stats Score.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 8B and Mistral Large 3 (675B Instruct 2512 NVFP4) are closely matched on the overall LLM Stats Score at 7.0 and 8.9.
In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 8B 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 8B
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Mistral Large 3 (675B Instruct 2512 NVFP4)
- 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 8B · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)
DeepSeek R1 Distill Llama 8B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.
DeepSeek R1 Distill Llama 8B 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 NVFP4) has 667.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 8306.0% larger.
Input capabilities
Documented input modalities across available providers
Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B
Mistral Large 3 (675B Instruct 2512 NVFP4)
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B 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 Distill Llama 8B.
Jan 20, 2025
1.7 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 8B and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 8B vs Mistral Large 3 (675B Instruct 2512 NVFP4).
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