Model Comparison
GPT-4.1 mini vs Qwen2.5-Omni-7B
GPT-4.1 mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 mini outperforms in 3 benchmarks (GPQA, MathVista, MMMU), while Qwen2.5-Omni-7B is better at 0 benchmarks.
GPT-4.1 mini 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 GPT-4.1 mini specifies input context (1,047,576 tokens). Only GPT-4.1 mini specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4.1 mini and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 mini
Qwen2.5-Omni-7B
License
Usage and distribution terms
GPT-4.1 mini 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-4.1 mini was released on 2025-04-14, while Qwen2.5-Omni-7B was released on 2025-03-27.
GPT-4.1 mini is 1 month newer than Qwen2.5-Omni-7B.
Apr 14, 2025
1.0 years ago
2w newerMar 27, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
May 2024
—
Outputs Comparison
Key Takeaways
GPT-4.1 mini
View detailsOpenAI
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about GPT-4.1 mini vs Qwen2.5-Omni-7B