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

Grok-3
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. 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 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.

Grok-3
xAI
2025-02-17

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

Grok-3

MedGemma 4B IT
Performance comparison across key benchmark categories

Grok-3

MedGemma 4B IT
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Grok-3
xAI

MedGemma 4B IT

Grok-3

MedGemma 4B IT