Model Comparison
GPT-4 vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (HumanEval, MATH).
Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4 and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
Qwen2.5-Omni-7B
License
Usage and distribution terms
GPT-4 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
GPT-4 was released on 2023-06-13, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 22 months newer than GPT-4.
Jun 13, 2023
2.9 years ago
Mar 27, 2025
1.1 years ago
1.8yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
Dec 2022
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Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Qwen2.5-Omni-7B.