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 Micro

Amazon

Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.

Amazon

Nova Micro

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 Micro

Larger context
Max Context:256.0K

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
Amazon

Nova Micro

general
+0.5%
60.0%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Amazon

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Amazon

Nova Micro

Avg Score:0.0%
Providers:1