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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). 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

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
11 months newer
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen3-235B-A22B-Instruct-2507

Phi-3.5-vision-instruct

Qwen3-235B-A22B-Instruct-2507