Model Comparison
Mistral Medium 3.5 vs MiMo-V2-ProWhich is better in 2026?
MiMo-V2-Pro significantly outperforms across most benchmarks. MiMo-V2-Pro is 2.0x cheaper per token.
Verdict: Mistral Medium 3.5 vs MiMo-V2-Pro — which is better?
Mistral Medium 3.5 (by Mistral AI) and MiMo-V2-Pro (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-Pro is better at 2 benchmarks (GDPval-AA, SWE-Bench Verified). MiMo-V2-Pro significantly outperforms across most benchmarks.
On price, MiMo-V2-Pro is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Pro also accepts a larger context window (1,000,000 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
- you need open weights you can self-host or fine-tune
Choose MiMo-V2-Pro if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 2.0x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Medium 3.5 outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (GDPval-AA, SWE-Bench Verified).
MiMo-V2-Pro 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 1.5x more expensive than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 2.5x more expensive than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than MiMo-V2-Pro.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2-Pro has 872.0B more parameters than Mistral Medium 3.5, making it 681.3% larger.
Context Window
Maximum input and output token capacity
MiMo-V2-Pro accepts 1,000,000 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-Pro is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Mistral Medium 3.5 supports multimodal inputs, whereas MiMo-V2-Pro does not.
Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Medium 3.5
MiMo-V2-Pro
License
Usage and distribution terms
Mistral Medium 3.5 is licensed under Modified MIT License, while MiMo-V2-Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Medium 3.5 was released on 2026-04-29, while MiMo-V2-Pro was released on 2026-03-18.
Mistral Medium 3.5 is 1 month newer than MiMo-V2-Pro.
Apr 29, 2026
2 months ago
1mo newerMar 18, 2026
4 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-Pro is available from Xiaomi.
Mistral Medium 3.5
MiMo-V2-Pro
Outputs Comparison
Key Takeaways
Mistral Medium 3.5
View detailsMistral AI
MiMo-V2-Pro
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and MiMo-V2-Pro 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-Pro.