Phi 4 Mini vs Qwen2.5-Coder 32B Instruct Comparison
Comparing Phi 4 Mini and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Mini outperforms in 4 benchmarks (ARC-C, MATH, MMLU-Pro, TruthfulQA), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, HellaSwag, MMLU, Winogrande).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 28.2B more parameters than Phi 4 Mini, making it 733.3% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
Phi 4 Mini is licensed under MIT, while Qwen2.5-Coder 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 Mini was released on 2025-02-01, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Phi 4 Mini is 5 months newer than Qwen2.5-Coder 32B Instruct.
Feb 1, 2025
1.1 years ago
4mo newerSep 19, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.
We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Phi 4 Mini
View detailsMicrosoft
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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