Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 21.7% higher average benchmark score. Llama 4 Scout offers 19.5M more tokens in context window than Kimi K2 0905. Llama 4 Scout is $2.72 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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.
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
5 months newer
Llama 4 Scout
Meta
2025-04-05
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
Llama 4 Scout
Context window and performance specifications
Average performance across 14 common benchmarks
Kimi K2 0905
Llama 4 Scout
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Llama 4 Scout
Kimi K2 0905
Llama 4 Scout
Kimi K2 0905
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together