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ModelCap

Nemotron 3 Nano Omni

Official publisher releaseRestricted licenseFree tier

NVIDIA

Nemotron 3 Nano Omni is a language model from NVIDIA. It does not hold a position on ModelCap's current board yet; it is placed automatically once its model card or a public benchmark compares it with ranked models. It is listed free of charge from one provider. It reads up to 256K tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Index position pending
Market Gravity
33.3Increased by 0.5
Secondary market signal
Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
256K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
NvidiaFreeFree256K—100.0%

Reported evaluation leads (11)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
llamaindex/ParseBench
mean
—48.51
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
text_content
—80.97
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
text_formatting
—59.69
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
layout
—0
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
chart
—31.47
Unpinned
not published
Reported
Quarantined
llamaindex/ParseBench
table
—70.44
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
overall
—41.22
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
core_perception
—31.73
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
reasoning
—50.46
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
information
—42.65
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
multimodal
—40.03
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · peers unresolved
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · nvidia/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning/bf16 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16@e5e9932441de940c9a62185c870ea5bcd4cd24e2 (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
26.8
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
90.1
Freshness
48.1
  • · OpenRouter popularity #71
  • · 1 live provider
  • · Catalogue: context 256000, reasoning, tools, modalities Text/Audio/Image/Video
  • · First seen 2026-04-28

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
51.3
37.6–65.0 uncertainty interval
Excluded from rank
Confidence
80%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
66.2
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
74.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
33.3
OpenRouter weekly popularity
#71 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
26.8

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
48.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning
Context window
256K tokens
Declared output cap
66K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Audio, Image, Video
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
28 Apr 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
e5e9932441de
Parameters
33.0B
Architecture
NemotronH_Nano_Omni_Reasoning_V3
Model type
NemotronH_Nano_Omni_Reasoning_V3
Hugging Face downloads (30d)
128K
Downloads (all time)
3.0M
Likes
442
Repository updated
24 Aug 2026, 23:49 UTC

Nemotron 3 Nano Omni: common questions

How does Nemotron 3 Nano Omni rank among AI models?

Nemotron 3 Nano Omni has no public ModelCap Index position as of 6 November 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Nemotron 3 Nano Omni cost per 1M tokens?

Nemotron 3 Nano Omni is listed at Free per 1M input tokens and Free per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh; at least one provider lists a free tier. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply Free total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Nemotron 3 Nano Omni?

Nemotron 3 Nano Omni has a published context window of 256K tokens (256,000). The snapshot lists a 65,536 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Nemotron 3 Nano Omni open-weight?

Restricted license (nvidia-open-model-agreement). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 on Hugging Face.

Which API providers serve Nemotron 3 Nano Omni?

One provider serves Nemotron 3 Nano Omni through OpenRouter as of 6 November 2026: Nvidia. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was Nemotron 3 Nano Omni released?

Nemotron 3 Nano Omni first appeared in the catalogue on 28 Apr 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.