MiniMax M2.5 vs QvQ-72B-Preview Comparison
Comparing MiniMax M2.5 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M2.5 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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
MiniMax M2.5 has 156.6B more parameters than QvQ-72B-Preview, making it 213.4% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M2.5 specifies input context (1,000,000 tokens). Only MiniMax M2.5 specifies output context (1,000,000 tokens).
Input Capabilities
Supported data types and modalities
QvQ-72B-Preview supports multimodal inputs, whereas MiniMax M2.5 does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.5
QvQ-72B-Preview
License
Usage and distribution terms
MiniMax M2.5 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 M2.5 was released on 2026-02-12, while QvQ-72B-Preview was released on 2024-12-25.
MiniMax M2.5 is 14 months newer than QvQ-72B-Preview.
Feb 12, 2026
1 months ago
1.1yr newerDec 25, 2024
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 M2.5
View detailsMiniMax
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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