Model Comparison
MiniMax M1 40K vs Qwen2.5 VL 32B Instruct
MiniMax M1 40K significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M1 40K outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
MiniMax M1 40K significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
MiniMax M1 40K has 422.5B more parameters than Qwen2.5 VL 32B Instruct, making it 1261.2% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas MiniMax M1 40K does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 40K
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
MiniMax M1 40K is licensed under MIT, while Qwen2.5 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 40K was released on 2025-06-16, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
MiniMax M1 40K is 4 months newer than Qwen2.5 VL 32B Instruct.
Jun 16, 2025
10 months ago
3mo newerFeb 28, 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
Key Takeaways
MiniMax M1 40K
View detailsMiniMax
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about MiniMax M1 40K vs Qwen2.5 VL 32B Instruct.