Model Comparison

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

Microsoft

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.

Alibaba

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.

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

2 months newer

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini Reasoning

Average Score:52.0%
Alibaba

Qwen3-235B-A22B-Instruct-2507

+25.5%
Average Score:77.5%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+44.4%
94.6%
general
54.8%
Alibaba

Qwen3-235B-A22B-Instruct-2507

math
50.2%
general
+18.9%
73.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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

Microsoft

Phi 4 Mini Reasoning

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Microsoft

Phi 4 Mini Reasoning

Avg Score:52.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

+25.5%
Avg Score:77.5%
Providers:0