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

Grok-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 xAI'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.

Grok-2
xAI
2024-08-13

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

Grok-2

MedGemma 4B IT
Performance comparison across key benchmark categories

Grok-2

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

Grok-2
xAI

MedGemma 4B IT

Grok-2

MedGemma 4B IT