Comprehensive side-by-side LLM comparison
Grok-2 leads with 13.5% higher average benchmark score. Overall, Grok-2 is the stronger choice for coding tasks.
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 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.
9 months newer
Grok-2
xAI
2024-08-13
MedGemma 4B IT
2025-05-20
Context window and performance specifications
Average performance across 15 common benchmarks
Grok-2
MedGemma 4B IT
Available providers and their performance metrics
Grok-2
xAI
MedGemma 4B IT
Grok-2
MedGemma 4B IT
Grok-2
MedGemma 4B IT