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.

Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 32B Instruct
Alibaba
2024-09-19

Phi 4 Mini Reasoning
Microsoft
2025-04-30
7 months newer
Average performance across 1 common benchmarks

Phi 4 Mini Reasoning

Qwen2.5 32B Instruct
Performance comparison across key benchmark categories

Phi 4 Mini Reasoning

Qwen2.5 32B Instruct
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen2.5 32B Instruct

Phi 4 Mini Reasoning

Qwen2.5 32B Instruct