Model Comparison
GPT-4 vs Qwen2.5-Coder 7B Instruct
GPT-4 has a slight edge in benchmark performance.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Qwen2.5-Coder 7B Instruct is better at 2 benchmarks (HumanEval, MATH).
GPT-4 has a slight edge in benchmark performance.
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
GPT-4 supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Qwen2.5-Coder 7B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Qwen2.5-Coder 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-Coder 7B Instruct was released on 2024-09-19.
Qwen2.5-Coder 7B Instruct is 15 months newer than GPT-4.
Jun 13, 2023
2.9 years ago
Sep 19, 2024
1.6 years ago
1.3yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5-Coder 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-Coder 7B Instruct's cutoff date.
Dec 2022
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Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Qwen2.5-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Qwen2.5-Coder 7B Instruct