Llama 4

Llama 4 is Meta's latest family of open-weight large language models, representing a highly capable open-source AI models available as of their release, with long context windows, multimodal input capability, and performance competitive with closed frontier models on most standard benchmarks. The open-weight licensing that has defined the Llama series continues: model weights are freely downloadable and deployable on your own hardware or cloud infrastructure, enabling use cases that closed API models cannot support, full data privacy, unlimited inference volume at fixed cost, fine-tuning on proprietary datasets, and integration into air-gapped environments. Llama 4's multimodal variants process both text and image inputs, enabling vision-language applications without additional model dependencies.

The Scout variant is optimized for efficient inference at scale; the Maverick and Behemoth variants trade efficiency for capability, targeting the highest-quality reasoning and instruction-following use cases. Meta distributes Llama through Hugging Face, and the models run on a range of hardware from high-end consumer GPUs to enterprise server clusters. The ecosystem of fine-tuned Llama variants developed by the open-source community provides specialized versions for medical, legal, coding, and multilingual applications.

Llama 4's significance extends beyond the models themselves, Meta's release pattern has established open-weight models as a viable enterprise choice, reducing the industry's dependence on proprietary API providers.