Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 21.7% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 589.8K more tokens in context window than Kimi K2 0905. Kimi K2 0905 is $8.15 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 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 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. 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 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
Kimi K2 0905
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Pro Preview 06-05
Kimi K2 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 0905
Gemini 2.5 Pro Preview 06-05
Kimi K2 0905
Gemini 2.5 Pro Preview 06-05
Kimi K2 0905
Novita
ZeroEval