Llama 4 Maverick 17B

Llama 4 Maverick 17B is Meta's lightweight tier model in the Llama 4 family, designed to balance capability with efficiency for high-throughput applications. As an open-source model, it provides developers with full access to model weights while maintaining competitive performance in its size class. The model supports multimodal inputs including text and images within a 128,000 token context window. It includes native tool calling functionality and demonstrates strong inference speed with 114.05 output tokens per second and 481ms time to first token. These performance characteristics make it suitable for applications requiring responsive interaction while processing both textual and visual content. Llama 4 Maverick 17B serves applications where developers need multimodal capabilities without the computational overhead of larger models. Its open-source nature allows for fine-tuning and deployment flexibility that proprietary alternatives cannot match, while its 17B parameter count provides a practical balance between model capability and resource requirements.