Model Comparison
Gemini 1.0 Pro vs Qwen2.5 VL 72B Instruct
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 2 benchmarks (EgoSchema, MMMU).
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
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
Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
Gemini 1.0 Pro is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Qwen2.5 VL 72B Instruct is 12 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.2 years ago
Jan 26, 2025
1.3 years ago
11mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Qwen2.5 VL 72B Instruct'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 Qwen2.5 VL 72B Instruct's cutoff date.
Feb 2024
—
Outputs Comparison
Key Takeaways
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Gemini 1.0 Pro vs Qwen2.5 VL 72B Instruct.