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 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.

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

Qwen2.5 7B Instruct
Alibaba
2024-09-19
27 days newer
Performance Metrics
Context window and performance specifications

Phi-3.5-vision-instruct

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

Phi-3.5-vision-instruct

Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen2.5 7B Instruct
Together

Phi-3.5-vision-instruct

Qwen2.5 7B Instruct