MiMo-V2.6-Pro vs Pixtral-12B
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to -1.6. Pixtral-12B is 3.6x 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 -1.6, ranking #19 overall.
On price, Pixtral-12B is roughly 3.6x 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 Pixtral-12B
- cost matters — it's about 3.6x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
18 reported for MiMo-V2.6-Pro · 12 for Pixtral-12B
MiMo-V2.6-Pro and Pixtral-12Bdon'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 2.9x more expensive than Pixtral-12B ($0.15/1M tokens).
For output processing, MiMo-V2.6-Pro ($0.87/1M tokens) is 5.8x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Pixtral-12B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 1007.6B more parameters than Pixtral-12B, making it 8125.8% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Pixtral-12B's 128,000 tokens. Only Pixtral-12B specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Pro and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Pro
Pixtral-12B
License
Usage and distribution terms
MiMo-V2.6-Pro is licensed under MIT, while Pixtral-12B 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 Pixtral-12B was released on 2024-09-17.
MiMo-V2.6-Pro is 25 months newer than Pixtral-12B.
Sep 22, 2026
0 days ago
2.0yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.6-Pro is available from Xiaomi. Pixtral-12B is available from Mistral AI.
MiMo-V2.6-Pro
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Pixtral-12B.