Model Comparison
QvQ-72B-Preview vs Qwen2.5-Omni-7B
QvQ-72B-Preview significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
QvQ-72B-Preview outperforms in 3 benchmarks (MathVision, MathVista, MMMU), while Qwen2.5-Omni-7B is better at 0 benchmarks.
QvQ-72B-Preview significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
QvQ-72B-Preview has 66.4B more parameters than Qwen2.5-Omni-7B, making it 948.6% larger.
Input Capabilities
Supported data types and modalities
Both QvQ-72B-Preview and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
QvQ-72B-Preview
Qwen2.5-Omni-7B
License
Usage and distribution terms
QvQ-72B-Preview is licensed under Qwen, while Qwen2.5-Omni-7B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Qwen
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
QvQ-72B-Preview was released on 2024-12-25, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 3 months newer than QvQ-72B-Preview.
Dec 25, 2024
1.4 years ago
Mar 27, 2025
1.1 years 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
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about QvQ-72B-Preview vs Qwen2.5-Omni-7B.