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

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28

Phi 4 Reasoning
Microsoft
2025-04-30
2 months newer
Average performance across 2 common benchmarks

Phi 4 Reasoning

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Phi 4 Reasoning

Qwen2.5 VL 32B Instruct
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Reasoning

Qwen2.5 VL 32B Instruct

Phi 4 Reasoning

Qwen2.5 VL 32B Instruct