Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 17.6% higher average benchmark score. Gemini 1.5 Flash 8B offers 532.5K more tokens in context window than Kimi K2 0905. Gemini 1.5 Flash 8B is $2.73 cheaper per million tokens. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Gemini 1.5 Flash 8B is the stronger choice for coding tasks.
Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 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 Flash 8B
2024-03-15
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Gemini 1.5 Flash 8B
Kimi K2 0905
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 1.5 Flash 8B
Kimi K2 0905
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
Gemini 1.5 Flash 8B
Kimi K2 0905
Gemini 1.5 Flash 8B
Kimi K2 0905
Gemini 1.5 Flash 8B
Kimi K2 0905
Novita
ZeroEval