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ModelCap

Granite 4.2 8B

Current board #176Arena #276Official publisher releaseNewOpen weights7d #94 → #176

IBM Granite·ibm-granite/granite-4.2-8b

Granite 4.2 8B is ModelCap current-board rank #176 with Index 19.3 (Measured), from the ModelCap Index as of 3 Sept 2026, 02:20 UTC.

Granite 4.2 8B listed OpenRouter input price is $0.10 per 1M tokens and listed output price is $0.15 per 1M tokens, from OpenRouter listed prices as of 3 Sept 2026, 02:20 UTC.

Granite 4.2 8B has a published context limit of 131K tokens in the ModelCap catalogue as of 3 Sept 2026, 02:20 UTC.

Granite 4.2 8B has 1 published OpenRouter serving endpoint, from OpenRouter as of 3 Sept 2026, 02:20 UTC.

Granite 4.2 8B weight access is open weights, from ModelCap classification of published repository metadata as of 3 Sept 2026, 02:20 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
19.3#176
Measured · 65% support · score interval 19.3–28.9
Evidence as of 2 Sept 2026, 20:11 UTC
Market Gravity
15.8Increased by 0.3
Secondary market signal
Input
$0.10
per 1M tokens
Output
$0.15
per 1M tokens
Context
131K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
CoreWeavebf16$0.10$0.15131Kbf16100.0%

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
$0.06$0.25131K210 ms154.7 tok/stools

Reported evaluation leads (5)

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
harborframework/terminal-bench-2.1
terminalbench_2_1
20.56
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
19.11
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
30.78
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
47.67
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
74.04
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · Current board

Methodology
19.3
Measured · 3 public benchmark observations across 3 boards
Current board
#176
Public rank basis
Measured (measured)
Index support
65.1% · strong
Index interval
19.3–28.9
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
2 Sept 2026, 20:11 UTC
Identity binding
Exact catalogue product · ibm-granite/ibm-granite/granite-4.2-8b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ibm-granite/granite-4.2-8b@7fce579a7fbbad4b1e7703b6850cefd517a4002b (not the evaluation revision)
Index observations used
3
Qualified Index evidence point
24.1
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
24.1
Evidence status
confirmed · 78% mass
General preference
23.5
Coding
27.9
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
65%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
6.9
Liquidity (providers × uptime)
20.2
Open reach (HF downloads)
13.2
Surface (context / tools / modalities)
70.2
Freshness
99.1
  • · OpenRouter popularity #209
  • · 1 live provider
  • · HF 30d downloads 10380
  • · Catalogue: context 131072, reasoning, tools
  • · First seen 2026-08-31

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
90.3
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
90.0
Evaluation provenance
66.7

Missing: 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
15.8
OpenRouter weekly popularity
#209 of 310

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
#276 of 398
Rating
1287.9
95% confidence interval
1277–1299
Votes
3K
Source published at
1 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
6.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.2

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

Open reach15%
13.2

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

Freshness5%
99.1

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

Specification

Context window
131K tokens
Max output
118K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.05 / 1M
First seen on OpenRouter
31 Aug 2026

Capabilities

  • 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
7fce579a7fbb
Parameters
8.8B
Architecture
GraniteForCausalLM
Model type
granite
Hugging Face downloads (30d)
10K
Downloads (all time)
10K
Likes
58
Repository updated
2 Sept 2026, 21:59 UTC

Compare Granite 4.2 8B with

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Benchmark leaderboards featuring Granite 4.2 8B

All leaderboards
Public benchmark boards on which Granite 4.2 8B has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)13631342–1385#235 of 393Default1 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis19.6#281 of 623intelligence-index2 Sept 2026
Terminal-Bench 2.1 (Artificial Analysis run)Artificial Analysis18.4%#169 of 226terminal-bench-2.12 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis9.7%#273 of 591humanitys-last-exam2 Sept 2026

Alternatives to Granite 4.2 8B, by the numbers

Ranked neighbours

Models within 3 places of #176 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked IBM Granite models

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

Granite 4.2 8B: common questions

How does Granite 4.2 8B rank among AI models?

Granite 4.2 8B holds ModelCap Index position #176 of 225 ranked language models as of 3 September 2026, with an Index score of 19.3 (interval 19.3–28.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Granite 4.2 8B cost per 1M tokens?

Granite 4.2 8B is listed at $0.10 per 1M input tokens and $0.15 per 1M output tokens as of 3 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh.

What is the context window of Granite 4.2 8B?

Granite 4.2 8B has a published context window of 131K tokens (131,072) and a maximum output of 118K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Granite 4.2 8B 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-4.2-8b on Hugging Face.

Which API providers serve Granite 4.2 8B?

One provider serves Granite 4.2 8B through OpenRouter as of 3 September 2026: CoreWeave. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Granite 4.2 8B been evaluated on?

Granite 4.2 8B has published results on 4 public boards tracked by ModelCap as of 3 September 2026: Arena coding 1363 (#235 of 393), AA Intelligence Index 19.6 (#281 of 623), AA Terminal-Bench 2.1 18.4% (#169 of 226) and AA Humanity's Last Exam 9.7% (#273 of 591). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Granite 4.2 8B compare with Gemma 3 12B?

Granite 4.2 8B ranks #176 (Index 19.3) and Gemma 3 12B ranks #175 (Index 19.5) on the ModelCap Index as of 3 September 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 8B released?

Granite 4.2 8B first appeared in the catalogue on 31 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.