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

Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

MedGemma 4B IT
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.

Llama 3.2 3B Instruct
Meta
2024-09-25

MedGemma 4B IT
2025-05-20
7 months newer
Performance Metrics
Context window and performance specifications

Llama 3.2 3B Instruct

MedGemma 4B IT
Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

MedGemma 4B IT
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

MedGemma 4B IT

Llama 3.2 3B Instruct

MedGemma 4B IT