Amazon Nova Micro is the smallest and most cost-efficient model in Amazon's Nova family, designed for high-volume, low-cost text tasks on AWS. It is optimized for classification, entity extraction, and lightweight NLU workloads where throughput and cost-per-token matter more than deep reasoning or generation fluency.
Nova Micro integrates natively with Amazon Bedrock, making it easy to deploy within existing AWS infrastructure. It is well-suited to serving as a triage or routing layer — quickly categorizing inputs before passing complex cases to larger models — and for tasks like intent detection, sentiment analysis, and data labeling at scale.
Key Features
Ultra-low cost per token for high-volume production workloads
Fast classification and intent detection
Entity and label extraction from structured and semi-structured text
Native Amazon Bedrock integration for seamless AWS deployment
Efficient routing and triage layer in multi-model pipelines
Designed for throughput-first use cases with predictable latency
Ideal Use Cases
High-volume content classification and tagging pipelines
Sentiment analysis at scale across customer feedback or reviews
Intent detection and routing in chatbot or IVR systems
Data labeling and annotation assistance for ML training datasets
Cost-efficient preprocessing before escalating to larger Nova or Claude models
Example Prompts for Nova Micro
Technical Specifications
| Provider | Amazon |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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