Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 26.2% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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.
3 months newer
Gemini 2.5 Pro Preview 06-05
2025-06-05
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 35 common benchmarks
Gemini 2.5 Pro Preview 06-05
Kimi K2-Instruct-0905
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Kimi K2-Instruct-0905
Gemini 2.5 Pro Preview 06-05
Kimi K2-Instruct-0905
Gemini 2.5 Pro Preview 06-05
Kimi K2-Instruct-0905