MiniMax M1 80K vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
MiniMax · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiniMax M1 80K outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 4 benchmarks (AIME 2025, GPQA, MMLU-Pro, SimpleQA). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose MiniMax M1 80K
- you want predictable pricing at $0.55/M input and $2.20/M output
Choose Qwen3 VL 32B Thinking
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M1 80K outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 4 benchmarks (AIME 2025, GPQA, MMLU-Pro, SimpleQA).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
MiniMax M1 80K has 423.0B more parameters than Qwen3 VL 32B Thinking, making it 1281.8% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 32B Thinking supports multimodal inputs, whereas MiniMax M1 80K does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Qwen3 VL 32B Thinking
License
Usage and distribution terms
MiniMax M1 80K 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 M1 80K was released on 2025-06-16, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 3 months newer than MiniMax M1 80K.
Jun 16, 2025
1.2 years ago
Sep 22, 2025
11 months ago
3mo newerKnowledge 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 M1 80K and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M1 80K vs Qwen3 VL 32B Thinking.