Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 60.9% higher average benchmark score. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
xAI
Grok Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
1 year newer
Gemma 2 27B
2024-06-27
Grok Code Fast 1
xAI
2025-08-28
Context window and performance specifications
Average performance across 17 common benchmarks
Gemma 2 27B
Grok Code Fast 1
Available providers and their performance metrics
Gemma 2 27B
Grok Code Fast 1
xAI
Gemma 2 27B
Grok Code Fast 1
Gemma 2 27B
Grok Code Fast 1