Models / Amazon/ Nova Pro 1.0

Nova Pro 1.0

Amazon · released Dec 5, 2024

Input: text and images. Output: text.InputOutput
Type
Closed
Input
None held
Output
None held
Cached
None held

We don't hold a list price for this model yet · hosted only — we have no record of published weights

Our take

Written Sep 17, 2026

Nova Pro 1.0 is a hosted-only model from Amazon: you reach it through a host rather than downloading it, and it takes text and images in one request. Its request capacity is large enough for long documents, but nothing here measures whether its answers are correct.

Who should pick it

Use it for long-document work where you would rather not split the source up first, or when your questions arrive with a screenshot or diagram attached. All three listed offers sit at the same rate, so the host you pick is not a price decision. Skip it if you need to run the model on your own hardware, or if you need measured accuracy rather than preference ratings.

The case for it

  • 300,000 tokens of request capacity, so a long report or a set of source files goes in beside the question without being split first.
  • Text and images go into the same request, so a diagram or screenshot does not have to be described in words first.
  • All three listed offers carry the same rate, so moving between hosts is not a way to change the bill.

The case against it

  • We list no download for it, so running it on your own hardware is not a route we can point you to.
  • The licence is not stated in our data, so we cannot say what commercial use or redistribution is permitted.
  • Its six Arena ratings record which answers people preferred, not whether they were correct, and no accuracy benchmark is supplied.
00

How good is it?

A general text model for chat and drafting, though it trails most models on everyday questions, writing and code.

Less good at
  • getting answers to everyday questionsArena Text (overall) · 150th of 168
  • drafts, rewrites and editingArena Creative Writing · 153rd of 168
  • writing and completing codeArena Coding · 147th of 168

EverydayGeneral questions and everyday reasoning

1 of 5

Arena Text (overall)150th of 168 · 1290

Arena Hard Prompts 151st of 168Arena Maths 146th of 163

CodingWriting and fixing code on its own

1.5 of 5

Arena Coding147th of 168 · 1343

Arena Coding is the only board that has scored it for this.

AgenticPlanning, calling tools, staying on task

not measured

Not yet scored on Arena Agent.

WritingDrafting and rewriting prose

1 of 5

Arena Creative Writing153rd of 168 · 1237

Arena Creative Writing is the only board that has scored it for this.

Other boards it appears on
Arena Instruction Following 150th of 168

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.

Every published score for this model6 scoresEvery figure we hold, from 6 boards, with who ran it and a link to the source — including the boards no rating above is built on.
1343source ↗
1237source ↗
1303source ↗
1269source ↗
1290source ↗
01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Amazon Bedrock, through OpenRouter

Cheapest of 3 live listings.

per 1M tokens
$0.80 in / $3.20 out
Context served
300K
Throughput
~97 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.80 / $3.20checked 4 hours ago300Knot measuredUnknownUnknownUnknown
Amazon Bedrockeu-west-1Through OpenRouter$0.80 / $3.20checked 4 hours ago300K5K max reply63 tok/sNoNoConfirmed
Amazon BedrockThrough OpenRouter$0.80 / $3.20checked 4 hours ago300K5K max reply97 tok/sNoNoConfirmed

Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✗✗
Amazon Bedrockeu-west-1Through OpenRouter✓✗✗
Amazon BedrockThrough OpenRouter✓✗✗

Tool calling: 3 of 3 listings say yes. JSON output: 0 of 3 listings say yes, 3 say no. Strict schema: 0 of 3 listings say yes, 3 say no.

02

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 1343 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1237 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1303 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1277 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1269 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1290 on Arena Text (overall)
What movedleaderboard
Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Dec 5, 2024AnnouncedNova Pro 1.0 announced by Amazon

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 listings does not say whether it trains on prompts.
  • We don't hold a list price for this model yet — the gap is ours, not the lab's.
  • We hold no cached-input rate for any of its listings.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text and images in, text out
Catalogue slug
amazon-nova-pro-1-0

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us