Model Comparison

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

Microsoft

Phi 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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

Microsoft

2025-02-01

4 months newer

Average performance across 8 common benchmarks

Microsoft

Phi 4 Mini

+7.4%
Average Score:69.9%
Alibaba

Qwen2.5-Coder 7B Instruct

Average Score:62.4%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

reasoning
+3.1%
73.3%
math
+6.9%
72.2%
factuality
+15.8%
66.4%
general
+8.6%
60.8%
Alibaba

Qwen2.5-Coder 7B Instruct

reasoning
70.2%
math
65.3%
factuality
50.6%
general
52.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Mini

0 providers
Alibaba

Qwen2.5-Coder 7B Instruct

0 providers
Microsoft

Phi 4 Mini

+7.4%
Avg Score:69.9%
Providers:0
Alibaba

Qwen2.5-Coder 7B Instruct

Avg Score:62.4%
Providers:0