Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 26.6% higher average benchmark score. Llama 4 Maverick offers 1.8M more tokens in context window than GLM-4.6. Llama 4 Maverick is $1.83 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick 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 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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 Maverick
Meta
2025-04-05
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Llama 4 Maverick
Context window and performance specifications
Average performance across 19 common benchmarks
GLM-4.6
Llama 4 Maverick
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Llama 4 Maverick
GLM-4.6
Llama 4 Maverick
GLM-4.6
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together