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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

9 months newer

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini Reasoning

+26.7%
Average Score:52.0%
Alibaba

Qwen2 7B Instruct

Average Score:25.3%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+28.6%
94.6%
general
+5.4%
54.8%
Alibaba

Qwen2 7B Instruct

math
66.0%
general
49.4%
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

Qwen2 7B Instruct

0 providers
Microsoft

Phi 4 Mini Reasoning

+26.7%
Avg Score:52.0%
Providers:0
Alibaba

Qwen2 7B Instruct

Avg Score:25.3%
Providers:0