Model Comparison
Mistral Medium 3.5 vs MiMo-V2.5Which is better in 2026?
MiMo-V2.5 significantly outperforms across most benchmarks. MiMo-V2.5 is 14.3x cheaper per token.
Verdict: Mistral Medium 3.5 vs MiMo-V2.5 — which is better?
Mistral Medium 3.5 (by Mistral AI) and MiMo-V2.5 (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Mistral Medium 3.5 outperforms in 0 benchmarks, while MiMo-V2.5 is better at 1 benchmark (Finance Agent v2). MiMo-V2.5 significantly outperforms across most benchmarks.
On price, MiMo-V2.5 is roughly 14.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Mistral Medium 3.5 if…
- you want the most recent training data — it shipped Apr 2026
Choose MiMo-V2.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 14.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Medium 3.5 outperforms in 0 benchmarks, while MiMo-V2.5 is better at 1 benchmark (Finance Agent v2).
MiMo-V2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 8.9x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 22.3x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5 has 182.8B more parameters than Mistral Medium 3.5, making it 142.8% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while MiMo-V2.5 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Mistral Medium 3.5 and MiMo-V2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Medium 3.5
MiMo-V2.5
License
Usage and distribution terms
Mistral Medium 3.5 is licensed under Modified MIT License, while MiMo-V2.5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Mistral Medium 3.5 was released on 2026-04-29, while MiMo-V2.5 was released on 2026-04-22.
Mistral Medium 3.5 is 0 month newer than MiMo-V2.5.
Apr 29, 2026
2 months ago
1w newerApr 22, 2026
2 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
Mistral Medium 3.5 is available from Mistral AI. MiMo-V2.5 is available from Novita, DeepInfra.
Mistral Medium 3.5
MiMo-V2.5
Outputs Comparison
Key Takeaways
Mistral Medium 3.5
View detailsMistral AI
No standout differentiators in the data we have for this pair.
MiMo-V2.5
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and MiMo-V2.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Medium 3.5 vs MiMo-V2.5.