Model Comparison
MiMo-V2.5-Pro vs Qwen3 235B A22BWhich is better in 2026?
MiMo-V2.5-Pro significantly outperforms across most benchmarks. Qwen3 235B A22B is 5.4x cheaper per token.
Verdict: MiMo-V2.5-Pro vs Qwen3 235B A22B — which is better?
MiMo-V2.5-Pro (by Xiaomi) and Qwen3 235B A22B (by Alibaba Cloud / Qwen Team) 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 6 benchmarks (GPQA, GSM8k, MATH, MMLU, MMLU-Pro, MMLU-Redux), while Qwen3 235B A22B is better at 1 benchmark (BBH). MiMo-V2.5-Pro significantly outperforms across most benchmarks.
On price, Qwen3 235B A22B is roughly 5.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro 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-Pro if…
- you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Choose Qwen3 235B A22B if…
- cost matters — it's about 5.4x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2.5-Pro outperforms in 6 benchmarks (GPQA, GSM8k, MATH, MMLU, MMLU-Pro, MMLU-Redux), while Qwen3 235B A22B is better at 1 benchmark (BBH).
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 4.3x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 8.7x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, MiMo-V2.5-Pro is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 788.2B more parameters than Qwen3 235B A22B, making it 335.4% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Qwen3 235B A22B's 128,000 tokens. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.
License
Usage and distribution terms
MiMo-V2.5-Pro is licensed under MIT, while Qwen3 235B A22B 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-V2.5-Pro was released on 2026-04-27, while Qwen3 235B A22B was released on 2025-04-29.
MiMo-V2.5-Pro is 12 months newer than Qwen3 235B A22B.
Apr 27, 2026
2 months ago
12mo newerApr 29, 2025
1.2 years 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. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
MiMo-V2.5-Pro
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiMo-V2.5-Pro vs Qwen3 235B A22B.