Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 28.0% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). 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.
7 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 39 common benchmarks
Gemini 2.0 Flash-Lite
Kimi K2-Instruct-0905
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Kimi K2-Instruct-0905
Gemini 2.0 Flash-Lite
Kimi K2-Instruct-0905
Gemini 2.0 Flash-Lite
Kimi K2-Instruct-0905