AI Model Intelligence

Nemotron Nano 3 Omni

digitalocean/nemotron-3-nano-omni

By digitalocean · family: nemotron · released 2026-04-28

⚠ This is a community fine-tune or derivative — not an official vendor release.

$0.500
Input / 1M tokens
$0.900
Output / 1M tokens
66K
Context window
66K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

✓ Tool calling✓ Reasoning✓ Structured output✓ Attachments✓ Open weights✓ Temperature control
Modalities: input text, image, video, audio · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding71
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output97
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency59
  • Headline price (log-scaled)59/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Vision73
  • Accepts image input50/50
  • Context window (10K → 1M)12/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$2.95
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$5.90
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$1.45
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$4.90
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$6.54
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from digitalocean · nemotron-3-nano-omni

$0.500
Input
$0.900
Output

Available on 1 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
DigitalOcean
digitalocean
nemotron-3-nano-omni$0.500$0.90066K2026-04-28

Frequently asked questions

How much does Nemotron Nano 3 Omni cost?

Nemotron Nano 3 Omni costs $0.500 per 1M input tokens and $0.900 per 1M output tokens, sourced from digitalocean. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Nemotron Nano 3 Omni?

Nemotron Nano 3 Omni has a context window of 66K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Nemotron Nano 3 Omni support tool calling?

Yes. Nemotron Nano 3 Omni supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Nemotron Nano 3 Omni support structured output / JSON mode?

Yes. Nemotron Nano 3 Omni supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Nemotron Nano 3 Omni accept image input?

Yes. Nemotron Nano 3 Omni accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check digitalocean's docs for the exact rule.

Is Nemotron Nano 3 Omni open-weight?

Yes. Nemotron Nano 3 Omni's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Nemotron Nano 3 Omni?

If Nemotron Nano 3 Omni doesn't fit, consider Multi-QA-mpnet-base-dot-v1, Wan2.2-T2V-A14B, E5 Large v2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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See also

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Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.