Model Comparison
Phi 4 Reasoning vs Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 Reasoning outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 4 benchmarks (AIME 2025, GPQA, IFEval, MMLU-Pro).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 221.0B more parameters than Phi 4 Reasoning, making it 1578.6% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).
License
Usage and distribution terms
Phi 4 Reasoning is licensed under MIT, while Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Qwen3-235B-A22B-Instruct-2507 is 3 months newer than Phi 4 Reasoning.
Apr 30, 2025
1.1 years ago
Jul 22, 2025
10 months ago
2mo newerKnowledge Cutoff
When training data ends
Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.
Mar 2025
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Outputs Comparison
Key Takeaways
Phi 4 Reasoning
View detailsMicrosoft
No standout differentiators in the data we have for this pair.
Qwen3-235B-A22B-Instruct-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi 4 Reasoning vs Qwen3-235B-A22B-Instruct-2507.