Jamba 1.6 is introduced as a leading open model family for enterprise deployment, offering superior model quality that surpasses competitors such as Mistral, Meta, and Cohere, while maintaining data security and speed. The model excels in long context performance with a 256K context window and hybrid SSM-Transformer architecture, making it highly effective for complex tasks like RAG and long context question answering. It allows flexible deployment options, including on-premise and in-VPC, ensuring data privacy. Notable use cases include improvements in data classification, personalized chatbots, and structured text generation, with enterprises like Fnac and Educa Edtech already benefiting from its capabilities. The new Batch API enhances efficiency in processing large volumes of requests, reducing processing times significantly. Available through AI21 Studio and Hugging Face, Jamba offers a compelling solution for enterprises seeking to integrate AI with robust data security and high-quality performance.