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 72B Instruct
Alibaba
Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 72B Instruct
Alibaba
2024-07-23

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

Phi 4 Mini Reasoning

Qwen2 72B Instruct
Performance comparison across key benchmark categories

Phi 4 Mini Reasoning

Qwen2 72B Instruct
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen2 72B Instruct

Phi 4 Mini Reasoning

Qwen2 72B Instruct