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-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

Kimi-k1.5
Moonshot AI
2025-01-20
6 months newer
Average performance across 1 common benchmarks

Gemma 2 27B

Kimi-k1.5
Performance comparison across key benchmark categories

Gemma 2 27B

Kimi-k1.5
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Kimi-k1.5

Gemma 2 27B

Kimi-k1.5