MiniMax M1 80K vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.2 to 21.4. MiniMax M1 80K is 1.1x cheaper per token.
MiniMax · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 21.4, ranking #34 overall.
On price, MiniMax M1 80K is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M1 80K
- cost matters — it's about 1.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
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 · 18 for Mistral Large 4
MiniMax M1 80K and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M1 80K ($0.55/1M tokens) is 1.2x cheaper than Mistral Large 4 ($0.68/1M tokens).
For output processing, MiniMax M1 80K ($2.20/1M tokens) is 1.1x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Mistral Large 4 is more expensive than MiniMax M1 80K.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 594.0B more parameters than MiniMax M1 80K, making it 130.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Only MiniMax M1 80K specifies output context (40,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas MiniMax M1 80K does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Mistral Large 4
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Mistral Large 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M1 80K was released on 2025-06-16, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 16 months newer than MiniMax M1 80K.
Jun 16, 2025
1.3 years ago
Oct 6, 2026
1 days ago
1.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M1 80K is available from Novita. Mistral Large 4 is available from Mistral AI.
MiniMax M1 80K
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M1 80K and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M1 80K vs Mistral Large 4.