Model Comparison
GPT-4 vs Qwen2 7B Instruct
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2 7B Instruct is better at 2 benchmarks (HumanEval, MATH).
Both models are evenly matched across the 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 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 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 7B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Qwen2 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 7B Instruct was released on 2024-07-23.
Qwen2 7B Instruct is 14 months newer than GPT-4.
Jun 13, 2023
2.8 years ago
Jul 23, 2024
1.7 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2 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 7B Instruct's cutoff date.
Dec 2022
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Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Qwen2 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Qwen2 7B Instruct