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

Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 11B Instruct
Meta
2024-09-25

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

Llama 3.2 11B Instruct

MedGemma 4B IT
Performance comparison across key benchmark categories

Llama 3.2 11B Instruct

MedGemma 4B IT
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

MedGemma 4B IT

Llama 3.2 11B Instruct

MedGemma 4B IT