Amazon Nova Premier

Closed weights Amazon April 2025

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Amazon
Organisation type
Industry
Country
United States of America
Published
30 April 2025

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Multimodal, Language, Video, Vision
Task
Language modeling/generation, Visual question answering, Video description, Question answering, Code generation, Character recognition (OCR), System control, Instruction interpretation, Retrieval-augmented generation

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Closed — provider access only
Model access
API access
Training code
Unreleased

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Likely above 10²³ FLOP
Yes
Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation
Last updated
28 November 2025

What the numbers mean

About this model

Amazon Nova Premier was published by Amazon, in the country recorded as United States of America, during April 2025. The publishing organisation is categorised as industry.

It works in the domain of Multimodal, Language, Video, Vision, and is recorded as performing the task of language modeling/generation, Visual question answering, Video description, Question answering, Code generation, Character recognition (OCR), System control, Instruction interpretation, Retrieval-augmented generation.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Answers

Amazon Nova Premier — common questions

01

Amazon Nova Premier— what GPU do I need to run it?

None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

02

Amazon Nova Premier— is it open source?

No. Its weights have not been published, so it exists only as a service controlled by its owner.

03

Amazon Nova Premier— how many parameters does it have?

No parameter count has been published for it, which is why no memory or speed figure appears on this page.

04

Amazon Nova Premier— who created it?

It was published by Amazon, based in United States of America, an organisation categorised as industry.

05

Amazon Nova Premier— when was it released?

It was published in April 2025.

06

Amazon Nova Premier— what is it used for?

It works in the domain of Multimodal, Language, Video, Vision, and is recorded as handling the task of language modeling/generation, Visual question answering, Video description, Question answering, Code generation, Character recognition (OCR), System control, Instruction interpretation, Retrieval-augmented generation. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.