Model Comparison
GPT-4.1 vs Qwen2.5 32B Instruct
GPT-4.1 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2.5 32B Instruct is better at 0 benchmarks.
GPT-4.1 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-4.1 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
GPT-4.1 supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1
Qwen2.5 32B Instruct
License
Usage and distribution terms
GPT-4.1 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-4.1 was released on 2025-04-14, while Qwen2.5 32B Instruct was released on 2024-09-19.
GPT-4.1 is 7 months newer than Qwen2.5 32B Instruct.
Apr 14, 2025
1.0 years ago
6mo newerSep 19, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 32B Instruct's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5 32B Instruct's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
GPT-4.1
View detailsOpenAI
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4.1 vs Qwen2.5 32B Instruct