Amazon

A premium multimodal model from Amazon's Nova family, featuring a 300,000-token context window and top-tier accuracy, speed, and cost-efficiency. It excels in processing text, images, and videos with advanced reasoning, making it ideal for agentic workflows, enterprise analytics, and complex multimodal tasks like video summarization and document processing.

A high-performance model from Amazon's Titan family with a 128,000-token context window, designed for enterprise applications. It offers complex reasoning, enhanced guardrails, and customization options, excelling in retrieval-augmented generation (RAG) and agent-based workflows in secure environments like financial analysis and compliance monitoring.

A cost-effective multimodal model from Amazon's Nova family with a 128,000-token context window, optimized for high-throughput tasks. It supports text, image, and video processing, making it suitable for applications like customer interactions, document analysis, and lightweight visual content generation, all at a competitive price point.

An ultra-efficient text-only model from Amazon's Nova family with a 128,000-token context window, designed for low-latency, high-throughput text processing. It's ideal for simple tasks like chatbots, text summarization, and automated responses in cost-sensitive scenarios, offering minimal overhead and maximum scalability.

A fast, economical text model from Amazon's Titan family with an 8,000-token context window, tailored for high-volume text processing. It provides reliable performance for enterprise use cases like conversational chat, text generation, and basic automation, balancing speed and cost-efficiency effectively.

An ultra-lightweight text model from Amazon's Titan family with a 4,000-token context window, offering basic text processing at the lowest cost. It's optimized for simple, high-volume applications like short-form content generation and lightweight chatbots, prioritizing affordability and efficiency.