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

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

7 months newer

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+29.3%
94.6%
general
+2.5%
54.8%
Alibaba

Qwen2.5-Coder 7B Instruct

math
65.3%
general
52.3%
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

Qwen2.5-Coder 7B Instruct

0 providers
Microsoft

Phi 4 Mini Reasoning

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5-Coder 7B Instruct

Avg Score:0.0%
Providers:0