Model Comparison

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

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.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

Google

MedGemma 4B IT

Google

2025-05-20

3 months newer

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
vision
56.1%
Alibaba

Qwen2.5 VL 7B Instruct

general
+8.3%
67.7%
vision
+5.4%
61.5%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0