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HAQM Nova Understanding Models

Frontier intelligence and industry leading price performance

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HAQM Nova Understanding Models

HAQM Nova understanding models are state-of-the-art models that deliver frontier intelligence and industry-leading price performance.

  • HAQM Nova Micro is a text-only model that delivers the lowest latency responses at a very low cost. 
  • HAQM Nova Lite is a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs to generate text outputs.
  • HAQM Nova Pro is a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks. 
  • HAQM Nova Premier is our most capable model for complex tasks and teacher for model distillation.

HAQM Nova understanding models support over 200 languages, text and vision fine-tuning, and easy integration with proprietary data and applications through HAQM Bedrock features like Bedrock Knowledge Bases and Bedrock Agents. Using the appropriate model and techniques like distillation, you can get the optimal intelligence, latency, and costs for your needs with HAQM Nova understanding models. You can learn more about HAQM Nova understanding models in the HAQM Nova technical report and the HAQM Nova Premier technical report.

Key capabilities

HAQM Nova understanding models deliver state-of-the-art text and visual intelligence, with native support for plain text, documents, image, and video understanding. 

HAQM Nova understanding models support text and vision fine-tuning, with text, image, and video inputs as reference data for training. HAQM Nova models can also be used with HAQM Bedrock Model Distillation to create highly capable, cost-effective, and low latency versions of Nova Pro, Lite, and Micro, for your specific needs.

HAQM Nova understanding models are among the fastest and most cost-effective models in their respective intelligence classes. With new latency-optimized inference options, enterprises can achieve even faster response times for their mission-critical AI applications without compromising quality.

HAQM Nova understanding models excel at in-context learning (ICL) and grounding responses based on contextual data provided in approaches like RAG. This is seen in HAQM Nova model scores in the Comprehensive RAG Benchmark (CRAG) evaluation. Customers can easily integrate HAQM Nova understanding models with their proprietary data and applications using HAQM Bedrock features like Bedrock Knowledge Bases.

New gen AI applications are increasingly using AI agents to interact with external services and APIs, and to perform tasks in the customer’s environment. HAQM Nova models excel at agentic workflows and are the state-of-the-art on on benchmarks that evaluate this capability, like Berkeley Function Calling Leaderboard (BFCL), VisualWebBench, and Mind2Web.
 

Introducing HAQM Nova Premier

HAQM Nova understanding models in action

Multi-agent collaboration and model distillation

Explore the interactive demo experience below to walk through a demo application and workflow built using HAQM Nova Premier, HAQM Nova Pro, HAQM Bedrock, and multi-agent collaboration.

Software development made easy

Computer agents powered by HAQM Nova Pro

HAQM Nova models can power computer agents, which plan and execute multi-step actions, using the browser and screen-based user interfaces as universal tools to automate tasks for end customers. Let's see an example of how a sales representative can interact with a computer agent powered by HAQM Nova to use SAP S/4Hana. SAP is one of the most widely used SaaS ERP systems.