Amazon Nova Micro is a text-only foundation model engineered for low-latency responses and high cost-efficiency. As part of the Amazon Nova family, it is designed to handle high-volume text processing tasks where speed is a priority over complex multimodal understanding. The model supports a context window of up to 128,000 tokens and is optimized for processing inputs ranging from short prompts to extensive documents.
The model is capable of various natural language processing applications, including document summarization, language translation, content classification, and interactive brainstorming. Despite its smaller footprint, it retains capabilities for basic mathematical reasoning and code generation. It is frequently utilized in scenarios requiring rapid throughput or as a component in agentic workflows that require multiple, fast interactions.
Unlike the Nova Lite and Nova Pro models, which offer multimodal capabilities for image and video processing, Nova Micro focuses exclusively on text-to-text workflows. It is optimized for retrieval-augmented generation (RAG) and is designed to integrate effectively with external data sources for grounded information retrieval.