MiniMax M2 vs Qwen3 VL 32B Thinking
MiniMax M2 leads the LLM Stats Score 26.8 to 23.5.
MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiniMax M2 leads the overall LLM Stats Score 26.8 to 23.5, ranking #149 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M2
- overall performance matters — it scores 26.8 and ranks #149 on LLM Stats
- you want the most recent training data — it shipped Oct 2025
Choose Qwen3 VL 32B Thinking
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiniMax M2 · 47 for Qwen3 VL 32B Thinking
MiniMax M2 outperforms in 1 benchmarks (GPQA), while Qwen3 VL 32B Thinking is better at 2 benchmarks (AIME 2025, MMLU-Pro).
Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MiniMax M2 has 197.0B more parameters than Qwen3 VL 32B Thinking, making it 597.0% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Thinking supports multimodal inputs, whereas MiniMax M2 does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2
Qwen3 VL 32B Thinking
License
Usage and distribution terms
MiniMax M2 is licensed under MIT, while Qwen3 VL 32B 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
MiniMax M2 was released on 2025-10-27, while Qwen3 VL 32B Thinking was released on 2025-09-22.
MiniMax M2 is 1 month newer than Qwen3 VL 32B Thinking.
Oct 27, 2025
11 months ago
1mo newerSep 22, 2025
1.0 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 MiniMax M2 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2 vs Qwen3 VL 32B Thinking.