Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 20.6% higher average benchmark score. Gemini 2.5 Flash offers 589.8K more tokens in context window than Kimi K2 0905. Both models have similar pricing. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash 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 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 Flash
2025-05-20
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Gemini 2.5 Flash
Kimi K2 0905
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Flash
Kimi K2 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 0905
Gemini 2.5 Flash
Kimi K2 0905
Kimi K2 0905
Novita
ZeroEval