Mistral Large 3 (675B Instruct 2512 NVFP4) vs Mistral Large 3 (675B Instruct 2512)
Mistral Large 3 (675B Instruct 2512 NVFP4) and Mistral Large 3 (675B Instruct 2512) are closely matched at 8.9 and 9.0 on the LLM Stats Score.
Mistral AI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 3 (675B Instruct 2512 NVFP4) and Mistral Large 3 (675B Instruct 2512) are closely matched on the overall LLM Stats Score at 8.9 and 9.0.
In the 5 individual benchmarks reported for both models, Mistral Large 3 (675B Instruct 2512) wins 5; 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 Mistral Large 3 (675B Instruct 2512 NVFP4)
- you are already invested in the Mistral AI ecosystem
Choose Mistral Large 3 (675B Instruct 2512)
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Mistral Large 3 (675B Instruct 2512 NVFP4) · 5 for Mistral Large 3 (675B Instruct 2512)
Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Mistral Large 3 (675B Instruct 2512) is better at 0 benchmarks.
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Large 3 (675B Instruct 2512) has 0.0B more parameters than Mistral Large 3 (675B Instruct 2512 NVFP4), making it 0.0% larger.
Context Window
Maximum input and output token capacity
Only Mistral Large 3 (675B Instruct 2512) specifies input context (262,100 tokens). Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Mistral Large 3 (675B Instruct 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral Large 3 (675B Instruct 2512)
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-12-04.
They likely represent similar generations of model development.
Dec 4, 2025
10 months ago
Dec 4, 2025
10 months ago
Knowledge 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 Mistral Large 3 (675B Instruct 2512 NVFP4) and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Mistral Large 3 (675B Instruct 2512).
Related comparisons
More Mistral Large 3 (675B Instruct 2512 NVFP4) comparisons
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- Mistral Large 3 (675B Instruct 2512 NVFP4) vs Claude Opus 5.5
- Mistral Large 3 (675B Instruct 2512 NVFP4) vs GPT-6 Luna
- Mistral Large 3 (675B Instruct 2512 NVFP4) vs GPT-6 Sol
- Mistral Large 3 (675B Instruct 2512 NVFP4) vs MiMo-V2.6-Flash
More Mistral Large 3 (675B Instruct 2512) comparisons
- Mistral Large 3 (675B Instruct 2512) vs GPT-6.1 Sol
- Mistral Large 3 (675B Instruct 2512) vs Claude Sonnet 5.5
- Mistral Large 3 (675B Instruct 2512) vs Claude Opus 5.5
- Mistral Large 3 (675B Instruct 2512) vs GPT-6 Luna
- Mistral Large 3 (675B Instruct 2512) vs GPT-6 Sol
- Mistral Large 3 (675B Instruct 2512) vs MiMo-V2.6-Flash