Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 26.0% higher average benchmark score. Gemini 2.5 Flash supports multimodal inputs. Gemini 2.5 Flash is available on 2 providers. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
3 months newer
Gemini 2.5 Flash
2025-05-20
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 36 common benchmarks
Gemini 2.5 Flash
Kimi K2-Instruct-0905
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Kimi K2-Instruct-0905
Gemini 2.5 Flash
Kimi K2-Instruct-0905
Kimi K2-Instruct-0905