MiMo-V2.6-Pro vs Mistral Small 3 24B Instruct
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 4.2. Mistral Small 3 24B Instruct is 9.5x cheaper per token.
Xiaomi · Mistral AI · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 4.2, ranking #19 overall.
On price, Mistral Small 3 24B Instruct is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Small 3 24B Instruct
- cost matters — it's about 9.5x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
18 reported for MiMo-V2.6-Pro · 8 for Mistral Small 3 24B Instruct
MiMo-V2.6-Pro and Mistral Small 3 24B Instructdon'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, MiMo-V2.6-Pro ($0.43/1M tokens) is 8.7x more expensive than Mistral Small 3 24B Instruct ($0.05/1M tokens).
For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 10.9x more expensive than Mistral Small 3 24B Instruct ($0.08/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 996.0B more parameters than Mistral Small 3 24B Instruct, making it 4150.0% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,768 tokens. Only Mistral Small 3 24B Instruct specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Pro
Mistral Small 3 24B Instruct
License
Usage and distribution terms
MiMo-V2.6-Pro is licensed under MIT, while Mistral Small 3 24B Instruct 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
MiMo-V2.6-Pro was released on 2026-09-22, while Mistral Small 3 24B Instruct was released on 2025-01-30.
MiMo-V2.6-Pro is 20 months newer than Mistral Small 3 24B Instruct.
Sep 22, 2026
0 days ago
1.6yr newerJan 30, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while MiMo-V2.6-Pro's cutoff date is not specified.
We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.
—
Oct 2023
Provider Availability
MiMo-V2.6-Pro is available from Xiaomi. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
MiMo-V2.6-Pro
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Mistral Small 3 24B Instruct.