Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 19.9% higher average benchmark score. Gemma 3 4B is $2.81 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 4B
2025-03-12
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Gemma 3 4B
Kimi K2 Instruct
Context window and performance specifications
Average performance across 58 common benchmarks
Gemma 3 4B
Kimi K2 Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Kimi K2 Instruct
Gemma 3 4B
Kimi K2 Instruct
Gemma 3 4B
Kimi K2 Instruct
Novita