Skip to content
ModelCap

Nemotron Research GooseReason 4B Instruct

Current board #126Official publisher releaseRestricted license7d #130 → #126

NVIDIA·nvidia/Nemotron-Research-GooseReason-4B-Instruct

Nemotron Research GooseReason 4B Instruct is ModelCap current-board rank #126 with Index 31.2 (Modeled · lineage), from the ModelCap Index as of 9 Sept 2026, 22:02 UTC.

Nemotron Research GooseReason 4B Instruct weight access is restricted license, from ModelCap classification of published repository metadata as of 9 Sept 2026, 22:02 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
31.2#126
Inherited · 15% support · score interval 17.4–45.0
No admitted evaluation publication timestamp yet
Market Gravity
9.5
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
31.2
Modeled · lineage · finetune of Qwen/Qwen3-4B-Instruct-2507 · finetune (100%)
Current board
#126
Public rank basis
Modeled · lineage (lineage)
Index support
15.2% · limited
Index interval
17.4–45.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · nvidia/nvidia/Nemotron-Research-GooseReason-4B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/Nemotron-Research-GooseReason-4B-Instruct@82197937b873740604d04f3df7bab0decefe5ab5 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
31.2
Verified lineage
Qwen/Qwen3-4B-Instruct-2507 · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
31.2 ± 10.8
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of Qwen/Qwen3-4B-Instruct-2507 · finetune
31.2 ± 10.8100%
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)
Liquidity (providers × uptime)
Open reach (HF downloads)
Surface (context / tools / modalities)
0.0
Freshness
40.3
  • · Catalogue surface
  • · First seen 2026-01-14

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
33.4
15.0–51.9 uncertainty interval
Excluded from rank
Confidence
69%
Training support
185 models · 106 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.3 MAE

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

Deployment readiness

Metadata index
45.9
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
Deployability
8.0
Evaluation provenance
0.0

Missing: accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, 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
9.5
OpenRouter weekly popularity
Not listed

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%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

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%
40.3

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

Specification

Context window
tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
14 Jan 2026

Capabilities

  • Not supported: Reasoning
  • Not 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
82197937b873
Parameters
4.4B
Architecture
Qwen3ForCausalLM
Model type
qwen3
Hugging Face downloads (30d)
705
Downloads (all time)
2K
Likes
10
Repository updated
1 Mar 2026, 13:58 UTC

Compare Nemotron Research GooseReason 4B Instruct with

Pick any model

Alternatives to Nemotron Research GooseReason 4B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #126 on the ModelCap Index.

Other ranked NVIDIA models

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

Nemotron Research GooseReason 4B Instruct: common questions

How does Nemotron Research GooseReason 4B Instruct rank among AI models?

Nemotron Research GooseReason 4B Instruct holds ModelCap Index position #126 of 156 ranked language models as of 9 September 2026, with an Index score of 31.2 (interval 17.4–45.0); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Nemotron Research GooseReason 4B Instruct cost per 1M tokens?

No live API price is listed for Nemotron Research GooseReason 4B Instruct in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Nemotron Research GooseReason 4B Instruct open-weight?

Restricted license (cc-by-nc-4.0). 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-Research-GooseReason-4B-Instruct on Hugging Face.

Which benchmarks has Nemotron Research GooseReason 4B Instruct been evaluated on?

Nemotron Research GooseReason 4B Instruct's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 9 September 2026. The evidence panel names each source and its publication date.

How does Nemotron Research GooseReason 4B Instruct compare with Nova 2 Lite?

Nemotron Research GooseReason 4B Instruct ranks #126 (Index 31.2) and Nova 2 Lite ranks #125 (Index 31.4) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Nemotron Research GooseReason 4B Instruct released?

Nemotron Research GooseReason 4B Instruct first appeared in the catalogue on 14 Jan 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.