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 30B A3B
Alibaba
Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). 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 30B A3B
Alibaba
2025-04-29
8 months newer
Performance Metrics
Context window and performance specifications

Phi-3.5-vision-instruct

Qwen3 30B A3B
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

Qwen3 30B A3B
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Qwen3 30B A3B
DeepInfra
Fireworks
Novita

Phi-3.5-vision-instruct

Qwen3 30B A3B