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ModelCap

Granite 4.1 8B

Current board #78Arena #251Open weights

IBM Granite·ibm-granite/granite-4.1-8b

Granite 4.1 8B is a language model published by IBM Granite. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text input and returns text. The published context limit is 131K tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · Current board
36.1#78
Measured · 50% support · score interval 36.1–48.1
Market Gravity
26.0
Secondary market signal
Input
$0.05
per 1M tokens
Output
$0.10
per 1M tokens
Context
131K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
CoreWeavebf16$0.05$0.10131Kbf16100.0%

Reported evaluation leads (4)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
41.96
Unpinned
not published
Reported
Quarantined
LiquidAI/ifstruct-v1.0
ifstruct_v1
68.45
Unpinned
not published
Reported
Quarantined
openai/gsm8k
gsm8k
92.49
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
55.99
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
36.1
Measured · 2 public benchmark observations across 2 boards
Current board
#78
Public rank basis
Measured (measured)
Index support
50.2% · moderate
Index interval
36.1–48.1
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · ibm-granite/ibm-granite/granite-4.1-8b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-4.1-8b@1504002f650e656a0a3789d99574df12e3e94ed0 (not the evaluation revision)
Direct benchmark observations
2
Breadth-adjusted BES point estimate
42.1
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
42.1
Evidence status
confirmed · 73% mass
General preference
41.6
Coding
43.9
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
50%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
10.7
Liquidity (providers × uptime)
16.2
Open reach (HF downloads)
84.6
Surface (context / tools / modalities)
45.2
Freshness
68.6
  • · OpenRouter popularity #162
  • · 1 live provider
  • · HF 30d downloads 4213980
  • · Catalogue: context 131072, tools
  • · First seen 2026-04-30

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
78.8
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
80.0
Evaluation provenance
46.3

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
26.0
OpenRouter weekly popularity
#162 of 298

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
Arena
Official rank
#251 of 385
Rating
1305.8
95% confidence interval
1296–1316
Votes
4K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
10.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
16.2

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
84.6

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

Freshness5%
68.6

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

Specification

Context window
131K tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.05 / 1M
First seen on OpenRouter
30 Apr 2026

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • 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
1504002f650e
Parameters
8.8B
Architecture
GraniteForCausalLM
Model type
granite
Hugging Face downloads (30d)
4.2M
Downloads (all time)
5.1M
Likes
247
Repository updated
4 May 2026, 17:36 UTC