Model Comparison
Phi 4 Mini vs Qwen3-Coder
Comparing Phi 4 Mini and Qwen3-Coder across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Mini and Qwen3-Coder 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-Coder has 476.2B more parameters than Phi 4 Mini, making it 12400.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).
License
Usage and distribution terms
Phi 4 Mini is licensed under MIT, while Qwen3-Coder 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 Qwen3-Coder was released on 2025-01-01.
Phi 4 Mini is 1 month newer than Qwen3-Coder.
Feb 1, 2025
1.2 years ago
1mo newerJan 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Qwen3-Coder'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 Qwen3-Coder's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Phi 4 Mini
View detailsMicrosoft
Qwen3-Coder
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi 4 Mini vs Qwen3-Coder