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ModelCap

granite 3.1 8b instruct

All-versions archive #3231 Arena configurationsOfficial publisher releaseOpen weights

IBM Granite·ibm-granite/granite-3.1-8b-instruct

granite 3.1 8b instruct is ModelCap archive rank #323 (Measured), from the ModelCap Index as of 15 Sept 2026, 21:19 UTC.

granite 3.1 8b instruct weight access is open weights, from ModelCap classification of published repository metadata as of 15 Sept 2026, 21:19 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
7.6#323
Measured · 44% support · score interval 1.1–14.1
Evidence as of 13 Sept 2026, 14:00 UTC
Market Gravity
13.1
Secondary market signal

Superseded by granite 3.3 8b instruct. It no longer holds a current-board position; its all-versions archive rank is #323.

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.

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
Default
granite-3.1-8b-instruct
1208
CI 1197–1219
#3303KArena
Match 100%

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
TIGER-Lab/MMLU-Pro
mmlu_pro
41.03
Unpinned
not published
Reported
Quarantined

Other versions (3)

ModelCap Index · All-versions archive

Methodology
7.6
Measured · 1 public benchmark observation across 1 board
All-versions archive
#323
Public rank basis
Measured (measured)
Index support
43.8% · moderate
Index interval
1.1–14.1
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, 14:00 UTC
Identity binding
Exact catalogue product · ibm-granite/ibm-granite/granite-3.1-8b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-3.1-8b-instruct@4009206d5fc95d2e65a7b7633e159d6e97e25d35 (not the evaluation revision)
Index observations used
1
Qualified Index evidence point
7.6
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
7.6
Evidence status
provisional · 57% mass
General preference
7.6
Coding
Agents & tools
Reasoning
Evidence breadth
80%
Evidence coverage
44%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
84.7
Surface (context / tools / modalities)
0.0
Freshness
8.5
  • · HF 30d downloads 35739
  • · Catalogue surface
  • · First seen 2024-12-06

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
59.2
partial · 74% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
33.8

Missing: deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, 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
13.1
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

Configuration results available

Arena has published current community results for Default. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.

Current board through 13 Sept 2026, 14:00 UTC

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%
84.7

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

Freshness5%
8.5

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 Dec 2024

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
4009206d5fc9
Parameters
8.2B
Architecture
GraniteForCausalLM
Model type
granite
Hugging Face downloads (30d)
36K
Downloads (all time)
1.7M
Likes
168
Repository updated
16 Apr 2025, 14:57 UTC

Benchmark leaderboards featuring granite 3.1 8b instruct

All leaderboards
Public benchmark boards on which granite 3.1 8b instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)27.1#59 of 83Function calling12 Apr 2026

granite 3.1 8b instruct: common questions

How does granite 3.1 8b instruct rank among AI models?

granite 3.1 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 3.1 8b instruct cost per 1M tokens?

No live API price is listed for granite 3.1 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 3.1 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-3.1-8b-instruct on Hugging Face.

Which benchmarks has granite 3.1 8b instruct been evaluated on?

granite 3.1 8b instruct has published results on 1 public board tracked by ModelCap as of 15 September 2026: BFCL V4 27.1 (#59 of 83). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was granite 3.1 8b instruct released?

granite 3.1 8b instruct first appeared in the catalogue on 6 Dec 2024. 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.