# Long-Text Processing

Jamba 1.6 is AI21's latest language model, designed for private enterprise deployment. It excels in long-text processing, handling context windows up to 256K. Employing a hybrid SSM-Transformer architecture, it efficiently and accurately processes long-text question-answering tasks. This model surpasses similar models from Mistral, Meta, and Cohere in quality, while supporting flexible deployment options, including private deployment on-premise or in a VPC, ensuring data security. It offers enterprises a solution that doesn't compromise between data security and model quality, suitable for scenarios requiring extensive data and long-text processing, such as R&D, legal, and finance. Jamba 1.6 is currently used in several enterprises, such as Fnac for data classification and Educa Edtech for building personalized chatbots.

Gemini 2.0 Flash-Lite is a highly efficient language model from Google, optimized for long-text processing and complex tasks. It excels in inference, multi-modality, mathematical, and factuality benchmark tests, featuring a simplified pricing strategy that makes million-context windows more affordable. Gemini 2.0 Flash-Lite is fully available in Google AI Studio and Vertex AI, suitable for enterprise-level production use.

Qwen2 is a series of pre-trained and instruction-tuned models that support up to 27 languages, including English and Chinese. These models have excelled in multiple benchmark tests, particularly demonstrating significant improvements in coding and mathematical capabilities. Qwen2 supports a context length of up to 128K tokens, making it suitable for handling long-text tasks. Moreover, the Qwen2-72B-Instruct model exhibits comparable safety performance to GPT-4, significantly outperforming the Mistral-8x22B model.

GLM-4-9B-Chat-1M is a new generation of pre-trained model released by ZhiPu AI, an open-source version of the GLM-4 series. It has demonstrated high performance in various benchmark datasets covering semantics, mathematics, reasoning, code, and knowledge. This model not only supports multi-turn dialogue but also features advanced functionalities like web browsing, code execution, custom tool invocation, and long-text reasoning. It supports 26 languages, including Japanese, Korean, and German, and a special version with 1M context length is available, suitable for developers and researchers handling large amounts of data and working in multilingual environments.