Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Phi 4 Mini Reasoning
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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Phi 4 Mini Reasoning
Microsoft
2025-04-30

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
2 months newer
Average performance across 1 common benchmarks

Phi 4 Mini Reasoning

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Phi 4 Mini Reasoning

Qwen3-235B-A22B-Instruct-2507
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen3-235B-A22B-Instruct-2507

Phi 4 Mini Reasoning

Qwen3-235B-A22B-Instruct-2507