Model Comparison
MiniMax M1 40K vs QvQ-72B-Preview
Comparing MiniMax M1 40K and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M1 40K and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
MiniMax M1 40K has 382.6B more parameters than QvQ-72B-Preview, making it 521.3% larger.
Input Capabilities
Supported data types and modalities
QvQ-72B-Preview supports multimodal inputs, whereas MiniMax M1 40K does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 40K
QvQ-72B-Preview
License
Usage and distribution terms
MiniMax M1 40K is licensed under MIT, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
MiniMax M1 40K was released on 2025-06-16, while QvQ-72B-Preview was released on 2024-12-25.
MiniMax M1 40K is 6 months newer than QvQ-72B-Preview.
Jun 16, 2025
11 months ago
5mo newerDec 25, 2024
1.4 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
No standout differentiators in the data we have for this pair.
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about MiniMax M1 40K vs QvQ-72B-Preview.