Model Comparison
MiniMax M1 80K vs Qwen3 VL 32B Instruct
MiniMax M1 80K significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M1 80K outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.
MiniMax M1 80K significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
MiniMax M1 80K has 423.0B more parameters than Qwen3 VL 32B Instruct, 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 Instruct supports multimodal inputs, whereas MiniMax M1 80K does not.
Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Qwen3 VL 32B Instruct
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Qwen3 VL 32B Instruct 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 Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 3 months newer than MiniMax M1 80K.
Jun 16, 2025
11 months ago
Sep 22, 2025
8 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
Key Takeaways
MiniMax M1 80K
View detailsMiniMax
Qwen3 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about MiniMax M1 80K vs Qwen3 VL 32B Instruct.