Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 14.4% higher average benchmark score. Gemma 3 27B is $2.57 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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 262K token context window for handling large documents. The model is available through 1 API provider. 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.
4 months newer
Gemma 3 27B
2025-03-12
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Gemma 3 27B
Kimi K2 Instruct
Context window and performance specifications
Average performance across 58 common benchmarks
Gemma 3 27B
Kimi K2 Instruct
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Kimi K2 Instruct
Gemma 3 27B
Kimi K2 Instruct
Kimi K2 Instruct
Novita