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ModelCap

Nemotron 3 Nano 30B A3B

Current board #172Arena #255Official publisher releaseRestricted license7d #164 → #172

NVIDIA·nvidia/nemotron-3-nano-30b-a3b

Nemotron 3 Nano 30B A3B is ModelCap current-board rank #172 with Index 26.9 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Nemotron 3 Nano 30B A3B listed OpenRouter input price is $0.05 per 1M tokens and listed output price is $0.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Nemotron 3 Nano 30B A3B has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Nemotron 3 Nano 30B A3B has 4 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Nemotron 3 Nano 30B A3B weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
26.9#172
Measured · 62% support · score interval 21.9–31.9
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
38.8Decreased by 0.2
Secondary market signal
Input
$0.05
per 1M tokens
Output
$0.20
per 1M tokens
Context
262K
tokens
Providers
4
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Crusoefp8Cheapest$0.05$0.20262Kfp899.92%
Novitafp4$0.05$0.20262Kfp4100.0%
DeepInfrafp4$0.05$0.20262Kfp497.85%
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 1309–1320
#25515KLMArena
Match 98%

Reported evaluation leads (1)

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
LiquidAI/ifstruct-v1.0
ifstruct_v1
86.8
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
26.9
Measured · 2 public benchmark observations across 2 boards
Current board
#172
Public rank basis
Measured (measured)
Index support
62.1% · strong
Index interval
21.9–31.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
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
26.9
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
26.9
Evidence status
confirmed · 77% mass
General preference
27.0
Coding
25.7
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
13.0
Liquidity (providers × uptime)
89.9
Open reach (HF downloads)
Surface (context / tools / modalities)
75.3
Freshness
34.2
  • · OpenRouter popularity #152
  • · 4 live providers
  • · 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
84.4
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
99.9
Evaluation provenance
52.2

Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
38.8
OpenRouter weekly popularity
#152 of 322

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
#255 of 402
Rating
1314.2
95% confidence interval
1309–1320
Votes
15K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
13.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
89.9

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%
34.2

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

Specification

Context window
262K tokens
Max output
236K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.03 / 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)
662K
Downloads (all time)
9.6M
Likes
823
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 coding leaderboardArena (LMArena)13611350–1371#244 of 397BF1613 Sept 2026

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

Ranked neighbours

Models within 3 places of #172 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 #172 of 248 ranked language models as of 22 September 2026, with an Index score of 26.9 (interval 21.9–31.9); 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 $0.05 per 1M input tokens and $0.20 per 1M output tokens as of 22 September 2026 across 4 providers. 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 $0.20 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) and a maximum output of 236K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own 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?

4 providers serve Nemotron 3 Nano 30B A3B through OpenRouter as of 22 September 2026: Crusoe, Novita, DeepInfra and 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 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1361 (#244 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Nemotron 3 Nano 30B A3B compare with gemma 3n E4B it?

Nemotron 3 Nano 30B A3B ranks #172 (Index 26.9) and gemma 3n E4B it ranks #173 (Index 26.4) on the ModelCap Index as of 22 September 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.