How does granite 4.1 30b rank among AI models?
granite 4.1 30b is a superseded version and is not on the current board as of 9 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
IBM Granite·ibm-granite/granite-4.1-30b
granite 4.1 30b weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.
Snapshot facts · download the public dataset · methodology
ModelCap Index · All-versions archive
—
Not scored · 0% support · score interval not available
Superseded by granite 4.2 30b. It no longer holds a current-board position.
OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.
Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesCurrent provider status is unavailable.
Reported evaluation leads (3)
Not independent measurementStructured 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.
Other versions (1)
ModelCap Index · All-versions archive
Methodology—
Not scored · peers unresolved
- Public rank basis
- Not scored (abstained)
- Index support
- 0.0% · not applicable
- Index interval
- Not available
- 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 · ibm-granite/ibm-granite/granite-4.1-30b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-4.1-30b@4fae6278f7132abf5e971f9de49ebbad09c54cce (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)
- —
- Liquidity (providers × uptime)
- —
- Open reach (HF downloads)
- 89.3
- Surface (context / tools / modalities)
- 0.0
- Freshness
- 55.1
- · HF 30d downloads 531761
- · Catalogue surface
- · First seen 2026-04-06
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 policy34.3
14.5–54.1 uncertainty interval
- Confidence
- 68%
- Training support
- 186 models · 106 lineages
- Out-of-domain check
- in domain
- Feature coverage
- 71%
- Lineage-held-out error
- 10.4 MAE
Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Deployment readiness
Metadata index47.9
partial · 52% metadata coverage
- Artifact reproducibility
- 85.0
- Access & legal clarity
- 100.0
- Deployability
- 8.0
- Evaluation provenance
- 0.0
Missing: artifactReproducibility.base-lineage, 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
- 16.2
- 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
- Liquidity25%
- 0.0
- Open reach15%
- 89.3
- Freshness5%
- 55.1
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
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
- 6 Apr 2026
Capabilities
- Not supported: Reasoning
- Not supported: Tool use
- Not supported: Structured output
- Not supported: Response format
- Not supported: Moderated
Weights & access
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
- Access
- Open weights
- Licence
- apache-2.0
- Pinned revision
- 4fae6278f713
- Parameters
- 28.9B
- Architecture
- GraniteForCausalLM
- Model type
- granite
- Hugging Face downloads (30d)
- 532K
- Downloads (all time)
- 674K
- Likes
- 146
- Repository
- ibm-granite/granite-4.1-30b
- Repository updated
- 4 May 2026, 17:31 UTC
Benchmark leaderboards featuring granite 4.1 30b
All leaderboardsgranite 4.1 30b: common questions
How much does granite 4.1 30b cost per 1M tokens?
No live API price is listed for granite 4.1 30b 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 granite 4.1 30b open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is ibm-granite/granite-4.1-30b on Hugging Face.
Which benchmarks has granite 4.1 30b been evaluated on?
granite 4.1 30b has published results on 3 public boards tracked by ModelCap as of 9 September 2026: AA Terminal-Bench 2.1 2.6% (#220 of 236), AA τ²-Bench Telecom 42.1% (#229 of 436) and AA Humanity's Last Exam 4.1% (#509 of 603). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was granite 4.1 30b released?
granite 4.1 30b first appeared in the catalogue on 6 Apr 2026. It has since been superseded by granite 4.2 30b. Rank and price movements since then are recorded on the site's changes feed.