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

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

MedGemma 4B IT
2025-05-20

Grok-4
xAI
2025-07-09
1 month newer
Performance Metrics
Context window and performance specifications

Grok-4

MedGemma 4B IT
Performance comparison across key benchmark categories

Grok-4

MedGemma 4B IT
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

MedGemma 4B IT

Grok-4

MedGemma 4B IT