Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. 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 2025, it represents Zhipu AI's latest advancement in AI technology.

Microsoft

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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

GLM-4.5V

Zhipu AI

2025-08-11

11 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Average performance across 9 common benchmarks

GLM-4.5V

Average Score:0.0%
Microsoft

Phi-3.5-vision-instruct

+68.3%
Average Score:68.3%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Microsoft

Phi-3.5-vision-instruct

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
Microsoft

Phi-3.5-vision-instruct

+68.3%
Avg Score:68.3%
Providers:0