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

Phi-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 2024, it represents Microsoft's latest advancement in AI technology.

Qwen2.5 14B Instruct
Alibaba
Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Phi-3.5-vision-instruct
Microsoft
2024-08-23

Qwen2.5 14B Instruct
Alibaba
2024-09-19
27 days newer
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

Qwen2.5 14B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen2.5 14B Instruct

Phi-3.5-vision-instruct

Qwen2.5 14B Instruct