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.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

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

Qwen3 32B
Alibaba
2025-04-29
8 months newer
Performance Metrics
Context window and performance specifications

Phi-3.5-vision-instruct

Qwen3 32B
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen3 32B
Sambanova
DeepInfra
Novita

Phi-3.5-vision-instruct

Qwen3 32B