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
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

Kimi K2 Instruct
Moonshot AI
2025-01-01
6 months newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B

Kimi K2 Instruct
Average performance across 3 common benchmarks

Gemma 2 27B

Kimi K2 Instruct
Performance comparison across key benchmark categories

Gemma 2 27B

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

Gemma 2 27B

Kimi K2 Instruct
Novita

Gemma 2 27B

Kimi K2 Instruct