MiMo-V2.6-Pro vs Qwen3 VL 30B A3B Thinking
MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 18.3.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 18.3, 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 VL 30B A3B Thinking
- you want predictable pricing at $0.20/M input and $0.99/M output
At a glance
The differences that matter most.
Individual benchmarks
3 reported for MiMo-V2.6-Pro · 50 for Qwen3 VL 30B A3B Thinking
MiMo-V2.6-Pro and Qwen3 VL 30B A3B Thinkingdon'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 989.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 3190.3% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.6-Pro and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.6-Pro
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
MiMo-V2.6-Pro is licensed under MIT, while Qwen3 VL 30B A3B Thinking 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 VL 30B A3B Thinking was released on 2025-09-22.
MiMo-V2.6-Pro is 12 months newer than Qwen3 VL 30B A3B Thinking.
Sep 22, 2026
-1 days ago
1.0yr newerSep 22, 2025
12 months 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 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Pro vs Qwen3 VL 30B A3B Thinking.