Model Comparison
GPT-4 vs Qwen2.5 VL 7B Instruct
Comparing GPT-4 and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 and Qwen2.5 VL 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 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 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct 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 VL 7B Instruct was released on 2025-01-26.
Qwen2.5 VL 7B Instruct is 20 months newer than GPT-4.
Jun 13, 2023
2.8 years ago
Jan 26, 2025
1.2 years ago
1.6yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5 VL 7B Instruct'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 VL 7B Instruct's cutoff date.
Dec 2022
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Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Qwen2.5 VL 7B Instruct