Amazon Nova Premier

Amazon Nova understanding models deliver advanced intelligence with unmatched price-to-performance.

Amazon Nova Premier is the most advanced model in the Nova family, built for complex reasoning, long-context processing, and high-value enterprise tasks. With support for 1 million tokens and 200+ languages, Nova Premier is ideal as a teacher model in distillation workflows or as the foundation for mission-critical AI systems. Integrated with Amazon Bedrock features such as Knowledge Bases and Agents, Nova Premier enables enterprises to deploy frontier-level intelligence in production with confidence.

Why Nova Premier?

The highest-capacity and most advanced Nova model, designed for complex reasoning and large-scale enterprise applications.

Use-Cases

Examples include distillation teacher model for training and guiding smaller AI systems, enterprise-scale RAG with massive document context windows, research and discovery platforms requiring advanced reasoning, or high-stakes workflows in regulated or mission-critical environments

What it's best for

Delivering frontier intelligence at scale where precision, context, and reliability are essential.

Amazon Nova Lite - Halo Radius
Image Generated with Amazon Nova

MODEL CARD

Amazon Nova Premier

Text + Multimodal Inputs

Advanced support for text, structured data, and multimodal fine-tuning.

Context

Handles up to 1 million tokens, the largest in the Nova family, enabling entire corpora or datasets to be processed in a single session.

Latency

Higher computational load than Micro/Lite/Pro, but optimized for reliability in complex reasoning tasks.

Cost

Positioned as the premium Nova option, designed for workloads where accuracy and scale outweigh cost considerations.

Your questions answered

Common questions about Amazon Nova Premier

Nova Premier is designed for frontier intelligence with a 1 million token context window, enabling unmatched reasoning and long-context applications.

While capable of real-time processing, Nova Premier is best suited for complex reasoning and large-scale context workloads rather than ultra-low latency use cases.

Yes. Nova Premier is frequently deployed as a teacher model in distillation workflows, guiding smaller models to achieve higher efficiency.

Typical use cases include legal and financial research platforms, enterprise knowledge systems, RAG with massive datasets, and regulated industry applications requiring explainability and reliability.

Amazon Nova Models

Compare Amazon Nova Models and Capabilities

Amazon Nova Micro

A low-latency, text-only model optimized for cost-efficient workloads. It supports over 200 languages, offers up to 128k token capacity, and can be fine-tuned for custom use cases.

Amazon Nova Lite

A high-speed multimodal model designed to handle text, image, and video inputs with exceptional responsiveness. It supports fine-tuning, processes up to 300k tokens, and works across 200+ languages.

Amazon Nova Pro

Amazon Nova Pro offers the best balance of accuracy, speed, and cost for general-purpose AI tasks. It supports 200+ languages, handles up to 300k tokens, and is fully fine-tunable for specialized needs.

Amazon Nova Premier

Nova Premier is the most advanced model in the Nova family, built for complex reasoning and high-stakes tasks. It supports 1 million tokens, over 200 languages, and is ideal for use as a teacher model in distillation workflows.

Amazon Nova Canvas

A customizable image generation model that turns text into visuals with precision and control. It supports prompts up to 1,024 characters, fine-tuning, and is optimized for English inputs.

Amazon Nova Reel

Generate high-quality video from text or image prompts, enabling fast visual storytelling. It supports up to 512 input characters and is optimized for English-language inputs.

Amazon Nova Sonic

Power real-time, human-like voice conversations with natural responsiveness and tone. It supports up to 300k tokens and is optimized for English (US, UK) and Spanish dialogue.

Amazon Nova Act

An autonomous agent model accessible via SDK, trained to interact with web browsers like a human user. It can click elements, perform searches, and answer questions—enabling real task execution, not just simulation.
Scroll to Top