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.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
1 year newer
Average performance across 1 common benchmarks

Gemma 2 27B

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

Gemma 2 27B

Kimi K2-Instruct-0905
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Kimi K2-Instruct-0905

Gemma 2 27B

Kimi K2-Instruct-0905