Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 36.7% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Kimi K2 Instruct. Llama 4 Scout is $2.49 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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.
3 months newer
Llama 4 Scout
Meta
2025-04-05
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2 Instruct
Llama 4 Scout
Context window and performance specifications
Average performance across 47 common benchmarks
Kimi K2 Instruct
Llama 4 Scout
Available providers and their performance metrics
Kimi K2 Instruct
Novita
Llama 4 Scout
Kimi K2 Instruct
Llama 4 Scout
Kimi K2 Instruct
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together