Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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.
1 month newer
Gemini 2.5 Pro Preview 06-05
2025-06-05
Kimi K2 Base
Moonshot AI
2025-07-11
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 2.5 Pro Preview 06-05
Kimi K2 Base
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 Base
Gemini 2.5 Pro Preview 06-05
Kimi K2 Base
Gemini 2.5 Pro Preview 06-05
Kimi K2 Base