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Nova Pro

Nova Pro is a first-generation Nova model built for high-accuracy multimodal tasks including financial document analysis, large-codebase review, and complex visual reasoning across a context of 300K tokens.

index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'amazon/nova-pro',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What makes Nova Pro more accurate than Nova Lite on financial documents?

    Nova Pro is tuned for precision on structured inputs, including tables with dense numerical data, nested clauses, and cross-referenced figures. Nova Lite may approximate values or miss conditional relationships in complex documents. Pro maintains consistency across the full context.

  • How large of a codebase can Nova Pro analyze in one request?

    Up to 15,000 lines of code per request within the context of 300K tokens. For larger codebases, split across multiple requests or focus on specific modules.

  • When does the cost premium over Nova Lite pay for itself?

    Whenever the cost of an incorrect output exceeds the per-token price difference. In financial compliance, legal review, and code quality assessment, a single error caught by Pro that Lite would have missed can justify hundreds of requests at the higher rate.

  • Can Nova Pro handle complex reasoning tasks like multi-step proofs or planning?

    Nova Pro prioritizes accuracy within its generation but doesn't include extended thinking or configurable reasoning budgets. For deliberate multi-step reasoning, use Nova 2 Lite, a second-generation model with those capabilities.

  • Is Nova Pro suitable as the default model in a high-volume pipeline?

    Usually not as a blanket default. Its input rate is well above Nova Lite's. Most teams route easy traffic to Lite or Micro and send only high-risk work to Pro.

  • What regulated-industry workflows benefit most from Nova Pro?

    Insurance claims processing that combines policy documents with photographic evidence, healthcare record analysis where numerical lab values must be parsed precisely, and legal contract comparison where subtle phrasing differences have material consequences.