Nova Pro: context, capabilities and where to run it

Prices from official vendor price lists · October 2026

Amazon does not publish a token price for Nova Pro, so cost depends on where it is hosted. Recorded here for vision, reasoning.

Capabilities
Text & chatVisionVideo
Context window
300K tokens
Price / mo
API only

Nova Pro is an AI model from Amazon. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.

It holds 300K tokens in a single conversation. Capabilities recorded in this rating: text & chat, vision, video, reasoning, tool calling. Access is through the API rather than a consumer subscription.

API priceNot publishedper 1M tokens, in / out
Context300K tokenstokens per conversation
VendorAmazonall models from this vendor
TierUnpricedno public rate card

Compared with alternatives

Good and poor fit

Good fit
  • Multi-step analysis, planning and code review, where the first plausible answer is often wrong.
  • Reading screenshots, charts, scanned documents and photos.
Poor fit
  • Classification, routing and short summaries — a small model does these identically for a fraction of the price.
  • Work where the vendor does not publish a rate you can budget against.

Related filters

Text & chat234 models for text generation and chat
Vision159 models that read images
Reasoning175 models that think before answering
Tool calling172 models that call your functions
Frontier tier42 flagship models, the best each vendor sells
Amazon7 models from this vendor
All 245 modelsThe full rating with filters and prices

Frequently asked questions

How much does Nova Pro cost?

Amazon does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.

What is the context window of Nova Pro?

300K tokens in a single conversation.

What can Nova Pro do?

In this rating it is recorded with: text & chat, vision, video, reasoning, tool calling, frontier tier, multilingual, proprietary API.

Is Nova Pro a good choice?

It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.

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