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ModelCap

granite 3.2 8b instruct

Official publisher releaseOpen weights

IBM Granite·ibm-granite/granite-3.2-8b-instruct

granite 3.2 8b instruct weight access is open weights, from ModelCap classification of published repository metadata as of 15 Sept 2026, 19:09 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
Not scored · 0% support · score interval not available
Market Gravity
12.9
Secondary market signal

Superseded by granite 3.3 8b instruct. 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 minutes

Current provider status is unavailable.

Other versions (2)

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-3.2-8b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-3.2-8b-instruct@610d8c6ee9c84ce51f6dfd7bc5c0215d95d49695 (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)
82.4
Surface (context / tools / modalities)
0.0
Freshness
11.2
  • · HF 30d downloads 23054
  • · Catalogue surface
  • · First seen 2025-02-17

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
21.4
2.1–40.7 uncertainty interval
Excluded from rank
Confidence
69%
Training support
180 models · 103 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
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: 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
12.9
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%
82.4

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

Freshness5%
11.2

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
17 Feb 2025

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
610d8c6ee9c8
Parameters
8.2B
Architecture
GraniteForCausalLM
Model type
granite
Hugging Face downloads (30d)
23K
Downloads (all time)
310K
Likes
92
Repository updated
17 Apr 2025, 11:40 UTC

Benchmark leaderboards featuring granite 3.2 8b instruct

All leaderboards
Public benchmark boards on which granite 3.2 8b instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)26.9#62 of 83Function calling12 Apr 2026

granite 3.2 8b instruct: common questions

How does granite 3.2 8b instruct rank among AI models?

granite 3.2 8b instruct is a superseded version and is not on the current board as of 15 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does granite 3.2 8b instruct cost per 1M tokens?

No live API price is listed for granite 3.2 8b instruct in the current snapshot as of 15 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is granite 3.2 8b instruct 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-3.2-8b-instruct on Hugging Face.

Which benchmarks has granite 3.2 8b instruct been evaluated on?

granite 3.2 8b instruct has published results on 1 public board tracked by ModelCap as of 15 September 2026: BFCL V4 26.9 (#62 of 83). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was granite 3.2 8b instruct released?

granite 3.2 8b instruct first appeared in the catalogue on 17 Feb 2025. It has since been superseded by granite 3.3 8b instruct. Rank and price movements since then are recorded on the site's changes feed.