Model Comparison
MiMo-V2.5-Pro vs MiMo-V2.5Which is better in 2026?
MiMo-V2.5-Pro significantly outperforms across most benchmarks. MiMo-V2.5 is 2.6x cheaper per token.
Verdict: MiMo-V2.5-Pro vs MiMo-V2.5 — which is better?
MiMo-V2.5-Pro (by Xiaomi) 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.
MiMo-V2.5-Pro outperforms in 5 benchmarks (Claw-Eval, Finance Agent v2, MiMo Coding Bench, SWE-Bench Pro, Terminal-Bench 2.0), while MiMo-V2.5 is better at 1 benchmark (GraphWalks). MiMo-V2.5-Pro significantly outperforms across most benchmarks.
On price, MiMo-V2.5 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose MiMo-V2.5-Pro if…
- you want the strongest raw capability — it leads on 5 of 6 shared benchmarks
- you want the most recent training data — it shipped Apr 2026
Choose MiMo-V2.5 if…
- cost matters — it's about 2.6x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 5 benchmarks (Claw-Eval, Finance Agent v2, MiMo Coding Bench, SWE-Bench Pro, Terminal-Bench 2.0), while MiMo-V2.5 is better at 1 benchmark (GraphWalks).
MiMo-V2.5-Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 2.6x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 2.6x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, MiMo-V2.5-Pro is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 712.5B more parameters than MiMo-V2.5, making it 229.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
MiMo-V2.5 supports multimodal inputs, whereas MiMo-V2.5-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-Pro
MiMo-V2.5
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while MiMo-V2.5 was released on 2026-04-22.
MiMo-V2.5-Pro is 0 month newer than MiMo-V2.5.
Apr 27, 2026
2 months ago
5d 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
MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. MiMo-V2.5 is available from Novita, DeepInfra.
MiMo-V2.5-Pro
MiMo-V2.5
Outputs Comparison
Key Takeaways
MiMo-V2.5
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and MiMo-V2.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs MiMo-V2.5.