GPT-4o vs Qwen2.5 32B Instruct Comparison
Comparing GPT-4o and Qwen2.5 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 32B Instruct is better at 0 benchmarks.
GPT-4o 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 specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Qwen2.5 32B Instruct
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen2.5 32B 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 was released on 2024-08-06, while Qwen2.5 32B Instruct was released on 2024-09-19.
Qwen2.5 32B Instruct is 1 month newer than GPT-4o.
Aug 6, 2024
1.6 years ago
Sep 19, 2024
1.5 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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