Amazon Nova
Amazon Web Services · Other
Amazon Nova is a family of multimodal AI model options on Amazon Bedrock. These foundation models on Amazon Bedrock handle text, image, and video features for developers.
About Amazon Nova
What Is Amazon Nova
Amazon Nova is a lineup of foundation models that Amazon builds and sells through Amazon Bedrock, its managed cloud service for running AI models. The family covers text, image, and video work, so a single provider can handle a chatbot, a document reader, and an image generator without stitching together three vendors. Most of the models are available to any AWS customer with an account, no waitlist required.
The main appeal is cost and speed. Cheap tokens win deals. Amazon positions Nova Micro, Lite, and Pro as at least 75 percent cheaper than the best performing models of similar size, and that gap drives the price per token down hard. For teams shipping high-volume features like support bots or content tagging, the savings add up fast. The tradeoff is that Nova lives only inside AWS. You can't call it from a standalone playground or drop it into a Google Cloud project. If your stack runs elsewhere, the setup friction is real. And that's the whole catch.
Getting Started
- Sign in to the AWS Management Console and open Amazon Bedrock.
- Request access to the Nova models you want under Model access, then wait for the approval to land.
- Create an API key or IAM role with permission to call Bedrock, and install the AWS SDK for your language.
- Send your first prompt through the InvokeModel or Converse API, then check the token usage on your billing dashboard.
- Move to production by setting up cross-region inference so requests stay fast when traffic spikes.
Product Information
A quick look at Amazon Nova's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Cloud developers
- Startup engineering teams
- Data and ML engineers
Tasks
- Text summarization and rewriting
- Image and video understanding
- Image and video generation
Scenarios
- Running a customer support bot that answers thousands of tickets a day without blowing the budget.
- Tagging and moderating user uploads at scale with a cheap multimodal model.
- Prototyping a video ad from a single product photo before committing to a full shoot.
Key features
A model for every budget
Amazon Nova splits its lineup by cost and capability. Micro is text-only and built for speed. Lite is the cheap multimodal pick for image, video, and text input. Pro balances accuracy, speed, and cost for general work, while Premier takes on complex reasoning and can act as a teacher model for distilling smaller custom versions that run cheaper once they're trained. Pick a tier that matches the task. Pick wrong and you overpay.
Multimodal understanding
Nova Lite and Pro process text, images, and video as prompts. You can feed in a chart, a scanned form, or a screen recording and ask what it means. One model, many inputs. That single pipeline removes a common headache: you don't need a separate vision model bolted onto your text pipeline just to read an image.
Creative content generation
Nova Canvas generates and edits images, and Nova Reel turns a single image into a short video clip from a prompt like "dolly forward," which means a marketing team can spin up a rough video concept from one product photo long before it books a studio or hires a crew. For teams that need social-ready visuals without a design tool subscription, this covers a lot of ground inside the same API you already use for text. Good enough for a first draft.
Grounding in your own data
Nova models can ground their answers in your own data. The model reads your documents and internal knowledge base before it replies. That cuts down on invented facts, which matters most in support, legal, and internal-search use cases where a wrong answer costs real money.
Integrated safety controls
Amazon builds guardrails into Bedrock, so you can filter harmful output and enforce content rules without writing the checks yourself, which saves time for any team that would otherwise maintain a custom moderation layer on top of the model. For regulated teams, that's less code to maintain and an easier story to tell compliance reviewers.
Broad language coverage
The models handle tasks across 200 languages, which means one pipeline can serve a global audience instead of forcing per-region model swaps. Multilingual support at no extra charge is unusual among frontier models and quietly useful for products with international users. Few rivals match it.
Pros and cons
Pros
- Pay-per-token pricing makes Nova one of the cheapest ways to run multimodal AI at scale.
- Deep AWS integration means teams already on Bedrock can add it without a new vendor.
- Text, image, and video generation all sit under one API and one bill.
- Grounding and guardrails are built in, cutting the code you have to maintain.
- Support for 200 languages removes the need for separate regional models.
Cons
- You can only use Nova through Amazon Bedrock, so it's off the table for non-AWS stacks.
- Some advanced models like Nova Premier rolled out later than the first wave, so early adopters had to wait.
- Pricing is token-based and spreads across several model tiers, which makes budgeting harder to predict for newcomers.
Frequently asked questions
It powers AI features like chat assistants, document and video analysis, and image or video generation. Developers call the models through Amazon Bedrock to add these capabilities to their own apps and services. Think of it as raw building blocks, not a finished app.
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