Model Comparison
Phi 4 Reasoning vs Qwen2.5 VL 32B Instruct
Phi 4 Reasoning significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Reasoning outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
Phi 4 Reasoning significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 19.5B more parameters than Phi 4 Reasoning, making it 139.3% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Phi 4 Reasoning does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi 4 Reasoning
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Phi 4 Reasoning is licensed under MIT, 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.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi 4 Reasoning was released on 2025-04-30, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Phi 4 Reasoning is 2 months newer than Qwen2.5 VL 32B Instruct.
Apr 30, 2025
11 months ago
2mo newerFeb 28, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.
We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.
Mar 2025
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Outputs Comparison
Key Takeaways
Phi 4 Reasoning
View detailsMicrosoft
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi 4 Reasoning vs Qwen2.5 VL 32B Instruct