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

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.

Qwen2.5 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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 72B Instruct
Alibaba
2024-09-19

Phi 4 Mini
Microsoft
2025-02-01
4 months newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini

Qwen2.5 72B Instruct
Average performance across 5 common benchmarks

Phi 4 Mini

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

Phi 4 Mini

Qwen2.5 72B Instruct
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

Phi 4 Mini

Qwen2.5 72B Instruct