Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 21.0% higher average benchmark score. Llama 4 Scout offers 19.8M more tokens in context window than GLM-4.6. Llama 4 Scout is $2.22 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu 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
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Llama 4 Scout
Context window and performance specifications
Average performance across 18 common benchmarks
GLM-4.6
Llama 4 Scout
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Llama 4 Scout
GLM-4.6
Llama 4 Scout
GLM-4.6
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together