Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 34.9% higher average benchmark score. Kimi K2 Instruct offers 198.1K more tokens in context window than Gemma 3n E4B Instructed. Kimi K2 Instruct is $57.13 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
15 days newer
Gemma 3n E4B Instructed
2025-06-26
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Kimi K2 Instruct
Context window and performance specifications
Average performance across 51 common benchmarks
Gemma 3n E4B Instructed
Kimi K2 Instruct
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Kimi K2 Instruct
Gemma 3n E4B Instructed
Kimi K2 Instruct
Gemma 3n E4B Instructed
Kimi K2 Instruct
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