Codestral-22B vs MiniMax M3.1 Flash
MiniMax M3.1 Flash leads the LLM Stats Score 48.5 to -0.3.
Mistral AI · MiniMax · Updated for 2026
Which is better?
MiniMax M3.1 Flash leads the overall LLM Stats Score 48.5 to -0.3, ranking #29 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you need open weights you can self-host or fine-tune
Choose MiniMax M3.1 Flash
- overall performance matters — it scores 48.5 and ranks #29 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.
Individual benchmarks
7 reported for Codestral-22B · 14 for MiniMax M3.1 Flash
Codestral-22B and MiniMax M3.1 Flashdon'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
Context Window
Maximum input and output token capacity
Only MiniMax M3.1 Flash specifies input context (1,000,000 tokens). Only MiniMax M3.1 Flash specifies output context (524,288 tokens).
Input capabilities
Documented input modalities across available providers
MiniMax M3.1 Flash supports multimodal inputs, whereas Codestral-22B does not.
MiniMax M3.1 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
MiniMax M3.1 Flash
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while MiniMax M3.1 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while MiniMax M3.1 Flash was released on 2026-10-19.
MiniMax M3.1 Flash is 29 months newer than Codestral-22B.
May 29, 2024
2.4 years ago
Oct 19, 2026
0 days ago
2.4yr 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 Codestral-22B and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs MiniMax M3.1 Flash.