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ModelCap

granite 4.2 30b

Arena #235Official publisher releaseOpen weights

IBM Granite·#175 of 351 on the current board

granite 4.2 30b is a language model from IBM Granite. It ranks #175 of 351 on ModelCap's current board, with an Index score of 38.3, measured on 2 public benchmarks. Its score range of 32.1–44.5 spans positions #135–#205. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 18 Oct 2026, 00:59 UTC · download the public dataset · methodology

ModelCap Index · Current board
38.3#175
Measured on 2 public benchmarks · range 32.1–44.5
Evidence as of 15 Oct 2026, 00:00 UTC
Market Gravity
16.1
Secondary market signal

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
131K
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.16$0.65131K170 ms86.8 tok/stools

Reported evaluation leads (5)

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
harborframework/terminal-bench-2.1
terminalbench_2_1
—29.24
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
—33.29
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
—41.89
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—57
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—77.6
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · Current board

Methodology
38.3
Measured on 2 public benchmarks
Current board
#175 of 351
Score range
32.1–44.5
Rank range
#135–#205
Evidence as of
15 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
47.3% · moderate
Identity binding
Exact catalogue product · ibm-granite/ibm-granite/granite-4.2-30b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-4.2-30b@9e668ce1c538387ef24d3644e9b0606647762636 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
38.3
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
38.3
Evidence status
confirmed · 72% mass
General preference
38.0
Coding
40.5
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
47%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
82.1
Surface (context / tools / modalities)
45.2
Freshness
76.2
  • · HF 30d downloads 37004
  • · Catalogue: context 131072, tools
  • · First seen 2026-08-07

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
74.3
partial · 92% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
48.7
Evaluation provenance
48.2

Not yet published: measured provider uptime, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
16.1
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

Status
Ranked
Source
LMArena
Official rank
#235 of 416
Rating
1340.0
95% confidence interval
1330–1350
Votes
3K
Source published at
15 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

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%
82.1

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

Freshness5%
76.2

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

Specification

Model ID
ibm-granite/granite-4.2-30b
Context window
131K tokens
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
7 Aug 2026

Capabilities

  • Not supported: Reasoning
  • 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
9e668ce1c538
Parameters
29.3B
Architecture
GraniteForCausalLM
Model type
granite
Hugging Face downloads (30d)
37K
Downloads (all time)
60K
Likes
133
Repository updated
4 Sept 2026, 21:08 UTC

Compare granite 4.2 30b with

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Benchmark leaderboards featuring granite 4.2 30b

All leaderboards
Public benchmark boards on which granite 4.2 30b has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13401330–1350#235 of 416Not reported15 Oct 2026
Arena coding leaderboardArena (LMArena)14011380–1422#211 of 411Default15 Oct 2026
Artificial Analysis Intelligence IndexArtificial Analysis12.7#112 of 134Reasoning9 Oct 2026
Terminal-Bench 2.1 (Artificial Analysis run)Artificial Analysis26.6%#82 of 128Reasoning1 Oct 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis11.2%#141 of 267Reasoning5 Sept 2026

Alternatives to granite 4.2 30b, by the numbers

Ranked neighbours

Models within 3 places of #175 on the ModelCap Index.

Other ranked IBM Granite models

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

granite 4.2 30b: common questions

How does granite 4.2 30b rank among AI models?

granite 4.2 30b holds ModelCap Index position #175 of 351 ranked language models as of 18 October 2026, with an Index score of 38.3 (interval 32.1–44.5); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does granite 4.2 30b cost per 1M tokens?

No live API price is listed for granite 4.2 30b in the current snapshot as of 18 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

What is the context window of granite 4.2 30b?

granite 4.2 30b has a published context window of 131K tokens (131,072). Its catalogue-declared route output cap is unknown. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is granite 4.2 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-4.2-30b on Hugging Face.

Which benchmarks has granite 4.2 30b been evaluated on?

granite 4.2 30b has published results on 5 public boards tracked by ModelCap as of 18 October 2026: Arena text 1340 (#235 of 416), Arena coding 1401 (#211 of 411), AA Intelligence Index 12.7 (#112 of 134), AA Terminal-Bench 2.1 26.6% (#82 of 128) and AA Humanity's Last Exam 11.2% (#141 of 267). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does granite 4.2 30b compare with Granite 4.2 8B?

granite 4.2 30b ranks #175 (Index 38.3) and Granite 4.2 8B ranks #240 (Index 26.6) on the ModelCap Index as of 18 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was granite 4.2 30b released?

granite 4.2 30b first appeared in the catalogue on 7 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.