Llama 4 Maverick 17B 128E is a natively multimodal mixture-of-experts (MoE) large language model engineered for high-performance text and image understanding. It activates 17B parameters (400B total) across 128 experts and is built on a 48-layer transformer architecture with 40 attention heads and a 5,120 hidden size. The model supports multilingual text and image inputs and produces multilingual text and code outputs. With up to a 1M token context window, it is optimized for scalable multimodal AI systems, large-document reasoning, and research-grade long-context workflows.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (meta-llama/Llama-4-Maverick-17B-128E). Released under Llama4. Further reading: Blog
Choose your hardware and inference engine to get deployment commands and performance benchmarks tailored to your infrastructure


2,048 GB
1,440 GB
Enter your email to get access to this content
Benchmarks measured by Vultr on MI325X · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.