Gemini 1.0 Pro vs QvQ-72B-Preview
Comparing Gemini 1.0 Pro by Google and QvQ-72B-Preview by Alibaba Cloud / Qwen Team across benchmarks, pricing, and capabilities.
QvQ-72B-Preview significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).
QvQ-72B-Preview significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
QvQ-72B-Preview supports multimodal inputs, whereas Gemini 1.0 Pro does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
QvQ-72B-Preview
License
Usage and distribution terms
Gemini 1.0 Pro is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 10 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.1 years ago
Dec 25, 2024
1.2 years ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while QvQ-72B-Preview's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.
Feb 2024
—
Outputs Comparison
Key Takeaways
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|