Model Comparison
MiMo-V2.5 vs MiMo-V2-ProWhich is better in 2026?
MiMo-V2.5 significantly outperforms across most benchmarks. MiMo-V2.5 is 7.1x cheaper per token.
Verdict: MiMo-V2.5 vs MiMo-V2-Pro — which is better?
MiMo-V2.5 (by Xiaomi) 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.
MiMo-V2.5 outperforms in 2 benchmarks (Claw-Eval, Terminal-Bench 2.0), while MiMo-V2-Pro is better at 0 benchmarks. MiMo-V2.5 significantly outperforms across most benchmarks.
On price, MiMo-V2.5 is roughly 7.1x 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 MiMo-V2.5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 7.1x 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 Apr 2026
- you need open weights you can self-host or fine-tune
Choose MiMo-V2-Pro if…
- you want predictable pricing at $1.00/M input and $3.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5 outperforms in 2 benchmarks (Claw-Eval, Terminal-Bench 2.0), while MiMo-V2-Pro is better at 0 benchmarks.
MiMo-V2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5 ($0.17/1M tokens) is 6.0x cheaper than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, MiMo-V2.5 ($0.34/1M tokens) is 8.9x cheaper than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, MiMo-V2-Pro is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2-Pro has 689.2B more parameters than MiMo-V2.5, making it 221.8% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
MiMo-V2.5 supports multimodal inputs, whereas MiMo-V2-Pro does not.
MiMo-V2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5
MiMo-V2-Pro
License
Usage and distribution terms
MiMo-V2.5 is licensed under MIT, while MiMo-V2-Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.5 was released on 2026-04-22, while MiMo-V2-Pro was released on 2026-03-18.
MiMo-V2.5 is 1 month newer than MiMo-V2-Pro.
Apr 22, 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
MiMo-V2.5 is available from Novita, DeepInfra. MiMo-V2-Pro is available from Xiaomi.
MiMo-V2.5
MiMo-V2-Pro
Outputs Comparison
Key Takeaways
MiMo-V2.5
View detailsXiaomi
MiMo-V2-Pro
View detailsXiaomi
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5 and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5 vs MiMo-V2-Pro.