MiMo-V2.6-Pro vs Qwen3-235B-A22B-Thinking-2507
MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 28.1.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 28.1, ranking #57 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3-235B-A22B-Thinking-2507
- you want predictable pricing at $0.30/M input and $3.00/M output
At a glance
The differences that matter most.
Individual benchmarks
3 reported for MiMo-V2.6-Pro · 25 for Qwen3-235B-A22B-Thinking-2507
MiMo-V2.6-Pro and Qwen3-235B-A22B-Thinking-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 785.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 334.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Pro
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
MiMo-V2.6-Pro is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 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-V2.6-Pro was released on 2026-09-22, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
MiMo-V2.6-Pro is 14 months newer than Qwen3-235B-A22B-Thinking-2507.
Sep 22, 2026
-1 days ago
1.2yr newerJul 25, 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.
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Pro and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Qwen3-235B-A22B-Thinking-2507.