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ModelCap

Nemotron 3 Nano 30B A3B

Arena #274Official publisher releaseRestricted license6.9d #231 → #237

NVIDIA·#237 of 352 on the current board·cheaper than #235 Llama 3.3 70B Instruct

Nemotron 3 Nano 30B A3B is a language model from NVIDIA. It ranks #237 of 352 on ModelCap's current board, with an Index score of 30.4, measured on 2 public benchmarks. Its score range of 25.4–35.4 spans positions #202–#257. It is listed at $0.06 per million input tokens and $0.24 per million output tokens from one provider. It reads up to 262K 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
30.4#237
Measured on 2 public benchmarks · range 25.4–35.4
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
23.3Increased by 0.2
Secondary market signal
Input
$0.06
per 1M tokens
Output
$0.24
per 1M tokens
Context
262K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Nebiusfp8$0.06$0.24262Kfp8100.0%

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
BF16
NVIDIA-Nemotron-3-Nano-30B-A3B (BF16)
1314
CI 1308–1319
#27416KLMArena
Match 98%

Reported evaluation leads (2)

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
allenai/IFBench_test
prompt_level_loose
—71.5
Unpinned
not published
Reported
Quarantined
LiquidAI/ifstruct-v1.0
ifstruct_v1
—86.8
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
30.4
Measured on 2 public benchmarks
Current board
#237 of 352
Score range
25.4–35.4
Rank range
#202–#257
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
62.1% · strong
Identity binding
Exact catalogue product · nvidia/nvidia/nemotron-3-nano-30b-a3b/bf16 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16@bf77c3174f68ad409e1c2aa60daeb46e32d1c606 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
30.4
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
30.4
Evidence status
confirmed · 77% mass
General preference
30.2
Coding
31.6
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
10.6
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
75.3
Freshness
28.8
  • · OpenRouter popularity #183
  • · 1 live provider
  • · Catalogue: context 262144, reasoning, tools
  • · First seen 2025-12-14

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

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
78.4
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
80.0
Evaluation provenance
52.2

Not yet published: the base model it derives from, 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
23.3
OpenRouter weekly popularity
#183 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

Status
Ranked
Source
LMArena
Official rank
#274 of 419
Rating
1313.6
95% confidence interval
1308–1319
Votes
16K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
10.6

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%
28.8

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

Specification

Model ID
nvidia/nemotron-3-nano-30b-a3b
Context window
262K tokens
Declared output cap
236K 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
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.012 / 1M
First seen on OpenRouter
14 Dec 2025

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • 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
bf77c3174f68
Parameters
31.6B
Architecture
NemotronHForCausalLM
Model type
nemotron_h
Hugging Face downloads (30d)
1.6M
Downloads (all time)
11.8M
Likes
840
Repository updated
24 Aug 2026, 23:50 UTC

Compare Nemotron 3 Nano 30B A3B with

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Benchmark leaderboards featuring Nemotron 3 Nano 30B A3B

All leaderboards
Public benchmark boards on which Nemotron 3 Nano 30B A3B has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13141308–1319#274 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13611351–1371#259 of 414BF1628 Oct 2026

Alternatives to Nemotron 3 Nano 30B A3B, by the numbers

Ranked neighbours

Models within 3 places of #237 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked NVIDIA models

The same publisher's other current models with a public Index position.

Nemotron 3 Nano 30B A3B: common questions

How does Nemotron 3 Nano 30B A3B rank among AI models?

Nemotron 3 Nano 30B A3B holds ModelCap Index position #237 of 352 ranked language models as of 6 November 2026, with an Index score of 30.4 (interval 25.4–35.4); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Nemotron 3 Nano 30B A3B cost per 1M tokens?

Nemotron 3 Nano 30B A3B is listed at $0.06 per 1M input tokens and $0.24 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.24 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 30B A3B?

Nemotron 3 Nano 30B A3B has a published context window of 262K tokens (262,144). The snapshot lists a 235,929 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 30B A3B open-weight?

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

Which API providers serve Nemotron 3 Nano 30B A3B?

One provider serves Nemotron 3 Nano 30B A3B through OpenRouter as of 6 November 2026: Nebius. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Nemotron 3 Nano 30B A3B been evaluated on?

Nemotron 3 Nano 30B A3B has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1314 (#274 of 419) and Arena coding 1361 (#259 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Nemotron 3 Nano 30B A3B compare with Llama 3 1 Nemotron 51B Instruct?

Nemotron 3 Nano 30B A3B ranks #237 (Index 30.4) and Llama 3 1 Nemotron 51B Instruct ranks #266 (Index 23.8) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Nemotron 3 Nano 30B A3B released?

Nemotron 3 Nano 30B A3B first appeared in the catalogue on 14 Dec 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.