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

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemma 2 27B
2024-06-27

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

Gemma 2 27B

Grok-4
Performance comparison across key benchmark categories

Gemma 2 27B

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

Gemma 2 27B

Grok-4
xAI
ZeroEval

Gemma 2 27B

Grok-4