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.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

Phi 4 Mini Reasoning
Microsoft
2025-04-30
7 months newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini Reasoning

Qwen2.5 7B Instruct
Average performance across 1 common benchmarks

Phi 4 Mini Reasoning

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

Phi 4 Mini Reasoning

Qwen2.5 7B Instruct
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen2.5 7B Instruct
Together

Phi 4 Mini Reasoning

Qwen2.5 7B Instruct