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ModelCap

Gemma 4 31B it pearl

Restricted license

Pearl Ai·pearl-ai/Gemma-4-31B-it-pearl

Gemma 4 31B it pearl is a language model published by Pearl Ai. The latest OpenRouter endpoint refresh was unavailable, so no current serving claim is made. It accepts text, image input and returns text. The published context limit is 262K tokens. The catalogue declares support for tool use.

ModelCap Index · Current board
72.8
Inherited · 33% support · score interval 72.8–88.8
Market Gravity
10.9
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
$0.28
per 1M tokens
Output
$0.86
per 1M tokens
Context
262K
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

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
together
live
$0.28$0.86262K401 ms15.2 tok/stools

ModelCap Index · Current board

Methodology
72.8
Modeled · lineage · quantized · quantized
Public rank basis
Modeled · lineage (lineage)
Index support
33.2% · moderate
Index interval
72.8–88.8
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · pearl-ai/pearl-ai/Gemma-4-31B-it-pearl · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata pearl-ai/Gemma-4-31B-it-pearl@f1dfba688ce6343b0433de57ca4dc0f3d1c5baa5 (not the evaluation revision)
Direct benchmark observations
0
Breadth-adjusted BES point estimate
77.5
Verified lineage
google/gemma-4-31b-it · minus 1.2 ( quantized)
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)
Surface (context / tools / modalities)
65.3
Freshness
68.2
  • · Catalogue: context 262144, tools, modalities Text/Image
  • · First seen 2026-04-29

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
55.0
38.6–71.3 uncertainty interval
Excluded from rank
Confidence
72%
Training support
156 models · 94 lineages
Out-of-domain check
in domain
Feature coverage
86%
Lineage-held-out error
9.1 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
58.1
partial · 69% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
Deployability
48.7
Evaluation provenance
0.0

Missing: accessLegalClarity.resolvable-license-terms, deployability.measured-provider-uptime, 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
10.9
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

Awaiting evaluation

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%
50.0

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

Freshness5%
68.2

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

Specification

Context window
262K tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
29 Apr 2026

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Licence
gemma
Pinned revision
f1dfba688ce6
Parameters
31.3B
Architecture
Gemma4ForConditionalGeneration
Model type
gemma4
Hugging Face downloads (30d)
5K
Downloads (all time)
33K
Likes
5
Repository updated
28 Jun 2026, 07:30 UTC