MiniMax M1 80K vs Mistral Large 3 (675B Base)
MiniMax M1 80K leads the LLM Stats Score 21.4 to 8.8.
MiniMax · Mistral AI · Updated for 2026
Which is better?
MiniMax M1 80K leads the overall LLM Stats Score 21.4 to 8.8, ranking #204 overall.
In the 3 individual benchmarks reported for both models, MiniMax M1 80K 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 MiniMax M1 80K
- overall performance matters — it scores 21.4 and ranks #204 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Mistral Large 3 (675B Base)
- 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
16 reported for MiniMax M1 80K · 5 for Mistral Large 3 (675B Base)
MiniMax M1 80K outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Base) is better at 1 benchmark (SimpleQA).
MiniMax M1 80K shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Large 3 (675B Base) has 219.0B more parameters than MiniMax M1 80K, making it 48.0% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 3 (675B Base) supports multimodal inputs, whereas MiniMax M1 80K does not.
Mistral Large 3 (675B Base) can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Mistral Large 3 (675B Base)
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Mistral Large 3 (675B Base) 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
MiniMax M1 80K was released on 2025-06-16, while Mistral Large 3 (675B Base) was released on 2025-12-04.
Mistral Large 3 (675B Base) is 6 months newer than MiniMax M1 80K.
Jun 16, 2025
1.3 years ago
Dec 4, 2025
10 months ago
5mo 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 MiniMax M1 80K and Mistral Large 3 (675B Base) side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M1 80K vs Mistral Large 3 (675B Base).