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Phi 4 Mini Reasoning vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 56.5% higher average benchmark score. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Phi 4 Mini Reasoning
Average Score:7.6%
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Qwen3-235B-A22B-Thinking-2507
Average Score:64.1%(+56.5%)
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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-Thinking-2507
1 providers
Novita
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Phi 4 Mini Reasoning
Avg Score:7.6%
Providers:0
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Qwen3-235B-A22B-Thinking-2507
Avg Score:64.1%(+56.5%)
Providers:1