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 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

Microsoft

2025-02-01

6 months newer

Average performance across 5 common benchmarks

Microsoft

Phi 4 Mini

+5.2%
Average Score:59.6%
Alibaba

Qwen2 7B Instruct

Average Score:54.4%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

math
+6.2%
72.2%
general
+11.4%
60.8%
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

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 7B Instruct

0 providers
Microsoft

Phi 4 Mini

+5.2%
Avg Score:59.6%
Providers:0
Alibaba

Qwen2 7B Instruct

Avg Score:54.4%
Providers:0