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-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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.

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

Qwen2.5-Coder 32B Instruct
Alibaba
2024-09-19
27 days newer
Performance Metrics
Context window and performance specifications

Phi-3.5-vision-instruct

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

Phi-3.5-vision-instruct

Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda

Phi-3.5-vision-instruct

Qwen2.5-Coder 32B Instruct