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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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

QwQ-32B-Preview
Alibaba
2024-11-28
3 months newer
Performance Metrics
Context window and performance specifications

Phi-3.5-vision-instruct

QwQ-32B-Preview
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Phi-3.5-vision-instruct

QwQ-32B-Preview