Phi 4 Mini Reasoning vs Qwen3 32B Comparison
Comparing Phi 4 Mini Reasoning and Qwen3 32B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Mini Reasoning and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3 32B has 29.0B more parameters than Phi 4 Mini Reasoning, making it 763.2% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
Phi 4 Mini Reasoning is licensed under MIT, while Qwen3 32B 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 Mini Reasoning was released on 2025-04-30, while Qwen3 32B was released on 2025-04-29.
Phi 4 Mini Reasoning is 0 month newer than Qwen3 32B.
Apr 30, 2025
10 months ago
1d newerApr 29, 2025
10 months ago
Knowledge Cutoff
When training data ends
Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Qwen3 32B's cutoff date is not specified.
We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without Qwen3 32B's cutoff date.
Feb 2025
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Outputs Comparison
Key Takeaways
Phi 4 Mini Reasoning
View detailsMicrosoft
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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