Model Comparison

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

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. 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.

Google

MedGemma 4B IT

Google

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.

Google

MedGemma 4B IT

Google

2025-05-20

xAI

Grok-4 Heavy

xAI

2025-07-09

1 month newer

Performance comparison across key benchmark categories

xAI

Grok-4 Heavy

general
+20.1%
79.5%
Google

MedGemma 4B IT

general
59.5%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4 Heavy

0 providers
Google

MedGemma 4B IT

0 providers
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0