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
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
1.3 years ago
1mo newerJan 1, 2025
1.4 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
No standout differentiators in the data we have for this pair.
Qwen3-Coder
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi 4 Mini vs Qwen3-Coder.