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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Google

MedGemma 4B IT

Google

2025-05-20

9 months newer

Performance Metrics

Context window and performance specifications

Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
+4.1%
59.5%
Microsoft

Phi-3.5-mini-instruct

general
55.4%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-mini-instruct

Avg Score:0.0%
Providers:1