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.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

MedGemma 4B IT

Google

2025-05-20

GLM-4.5V

Zhipu AI

2025-08-11

2 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

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

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Average performance across 7 common benchmarks

GLM-4.5V

Average Score:0.0%
Google

MedGemma 4B IT

+58.5%
Average Score:58.5%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Google

MedGemma 4B IT

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
Google

MedGemma 4B IT

+58.5%
Avg Score:58.5%
Providers:0