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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

MedGemma 4B IT

Google

2025-05-20

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

2 months newer

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
+14.2%
73.7%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0