Model Comparison
GPT-4o mini vs Qwen2 7B Instruct
GPT-4o mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU), while Qwen2 7B Instruct is better at 0 benchmarks.
GPT-4o 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-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas Qwen2 7B Instruct does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Qwen2 7B Instruct
License
Usage and distribution terms
GPT-4o mini 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-4o mini was released on 2024-07-18, while Qwen2 7B Instruct was released on 2024-07-23.
Qwen2 7B Instruct is 0 month newer than GPT-4o mini.
Jul 18, 2024
1.7 years ago
Jul 23, 2024
1.7 years ago
5d newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2 7B Instruct's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2 7B Instruct's cutoff date.
Oct 2023
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Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
Qwen2 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs Qwen2 7B Instruct