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Phi 4 Mini Reasoning vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 4.5% higher average benchmark score. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
1 days newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi 4 Mini Reasoning
Average Score:52.0%(+4.5%)
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Qwen3 235B A22B
Average Score:47.5%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen3 235B A22B
4 providers
DeepInfra
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Phi 4 Mini Reasoning
Avg Score:52.0%(+4.5%)
Providers:0
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Qwen3 235B A22B
Avg Score:47.5%
Providers:4