Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 48.5% higher average benchmark score. Gemini 1.5 Pro offers 1.6M more tokens in context window than Kimi K2 0905. Kimi K2 0905 is $9.40 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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.
1 year newer
Gemini 1.5 Pro
2024-05-01
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Gemini 1.5 Pro
Kimi K2 0905
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 1.5 Pro
Kimi K2 0905
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Kimi K2 0905
Gemini 1.5 Pro
Kimi K2 0905
Gemini 1.5 Pro
Kimi K2 0905
Novita
ZeroEval