MiMo-V2.6-Flash vs Mistral Small 4
MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 19.0. MiMo-V2.6-Flash is 1.5x cheaper per token.
Xiaomi · Mistral AI · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 19.0, ranking #29 overall.
On price, MiMo-V2.6-Flash is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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-Flash
- overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.5x cheaper per token
- 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 4
- you want predictable pricing at $0.15/M input and $0.60/M output
At a glance
The differences that matter most.
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 9 for Mistral Small 4
MiMo-V2.6-Flash and Mistral Small 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, MiMo-V2.6-Flash ($0.14/1M tokens) is 1.1x cheaper than Mistral Small 4 ($0.15/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 2.1x cheaper than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Mistral Small 4 is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Flash has 190.0B more parameters than Mistral Small 4, making it 159.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Mistral Small 4's 256,000 tokens. Only Mistral Small 4 specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Flash and Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Flash
Mistral Small 4
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Mistral Small 4 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-Flash was released on 2026-09-22, while Mistral Small 4 was released on 2026-03-16.
MiMo-V2.6-Flash is 6 months newer than Mistral Small 4.
Sep 22, 2026
0 days ago
6mo newerMar 16, 2026
6 months 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-Flash is available from Xiaomi. Mistral Small 4 is available from Mistral AI.
MiMo-V2.6-Flash
Mistral Small 4
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and Mistral Small 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Mistral Small 4.