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.

Amazon

Nova Lite

Amazon

Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.

Amazon

Nova Lite

Amazon

2024-11-20

Google

MedGemma 4B IT

Google

2025-05-20

6 months newer

Performance Metrics

Context window and performance specifications

Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B
Amazon

Nova Lite

Larger context
Max Context:302.0K

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

vision
56.1%
general
59.5%
Amazon

Nova Lite

vision
+20.5%
76.6%
general
+5.4%
64.9%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Amazon

Nova Lite

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Amazon

Nova Lite

Avg Score:0.0%
Providers:1