Model Comparison
Gemini 1.5 Pro vs Qwen2.5-Omni-7B
Gemini 1.5 Pro significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 8 benchmarks (FLEURS, GPQA, GSM8k, HumanEval, MATH, MathVista, MMLU-Pro, MMMU), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Gemini 1.5 Pro 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 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Both Gemini 1.5 Pro and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Pro
Qwen2.5-Omni-7B
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 1.5 Pro was released on 2024-05-01, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 11 months newer than Gemini 1.5 Pro.
May 1, 2024
2.0 years ago
Mar 27, 2025
1.1 years ago
11mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
Nov 2023
—
Outputs Comparison
Key Takeaways
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Gemini 1.5 Pro vs Qwen2.5-Omni-7B