Model Comparison
o3 vs Qwen2.5 VL 32B Instruct
o3 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
o3 outperforms in 3 benchmarks (GPQA, MMMU, MMMU-Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
o3 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 o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).
Input Capabilities
Supported data types and modalities
Both o3 and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
o3
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
o3 is licensed under a proprietary license, while Qwen2.5 VL 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
o3 was released on 2025-04-16, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
o3 is 2 months newer than Qwen2.5 VL 32B Instruct.
Apr 16, 2025
12 months ago
1mo newerFeb 28, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.
May 2024
—
Outputs Comparison
Key Takeaways
o3
View detailsOpenAI
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
o3
Qwen2.5 VL 32B InstructDetailed Comparison
| Feature | | |
|---|
FAQ
Common questions about o3 vs Qwen2.5 VL 32B Instruct