Amazon Nova 2 Omni (Preview)
Amazon Nova 2 Omni (Preview) is a reasoning model from Amazon released on Dec 2, 2025. It reads text, images, audio and video and writes text and images.
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It costs $0.30 per million input tokens and $2.50 per million output tokens.
- Modalities
- In / out price
- $0.30 / $2.50 per 1M
- Context
- n/a
- Max output
- n/a
- Released
- Dec 2, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Amazon Nova 2 Omni (Preview) pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.30 / 1M tokens | |
|---|---|---|
| Output | $2.50 / 1M tokens |
What Amazon Nova 2 Omni (Preview) costs per month
Pick a workload close to yours or type your own volumes.
Alternatives to Amazon Nova 2 Omni (Preview)
Models that take the same inputs, closest in price, cheaper ones first.
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Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 24 providers.
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- Index 46.3
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More from Amazon
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by amazonOct 31, 2025$2.50/M input tokens$12.50/M output tokens
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Amazon Nova 2 Omni (Preview) questions
How much does the Amazon Nova 2 Omni (Preview) API cost?
$0.30 per million input tokens and $2.50 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
Does Amazon Nova 2 Omni (Preview) support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is Amazon Nova 2 Omni (Preview) open source?
No. Amazon serves it through an API only, so you cannot download the weights or host it yourself.
When was Amazon Nova 2 Omni (Preview) released?
Dec 2, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.
Building on Amazon Nova 2 Omni (Preview)?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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