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ModelCap

Gemma SEA LION v4 4B VL

Official publisher releaseRestricted license

Aisingapore·#256 of 350 on the current board

Gemma SEA LION v4 4B VL is a language model from Aisingapore. It ranks #256 of 350 on ModelCap's current board, with an Index score of 25.3, carried over from the model it is built on. Its score range of 8.4–42.2 spans positions #149–#338. Its weights are downloadable under a use-restricted licence.

Figures as of 25 Oct 2026, 02:04 UTC · download the public dataset · methodology

ModelCap Index · Current board
25.3#256
Carried over from the model it is built on · range 8.4–42.2
Market Gravity
9.3
Secondary market signal

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

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
25.3
Carried over from the model it is built on
Current board
#256 of 350
Score range
8.4–42.2
Rank range
#149–#338
Technical details
Public rank basis
Modeled · lineage (lineage)
Evidence label
Modeled · lineage · finetune of google/gemma-3-4b-it · finetune (100%)
Index support
22.2% · limited
Identity binding
Exact catalogue product · aisingapore/aisingapore/Gemma-SEA-LION-v4-4B-VL · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata aisingapore/Gemma-SEA-LION-v4-4B-VL@171d7e4fc4470497889fc6ff64e2304f25c08a37 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
25.3
Verified lineage
google/gemma-3-4b-it · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
25.3 ± 13.2
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of google/gemma-3-4b-it · finetune
25.3 ± 13.2100%
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)
15.0
Freshness
36.9
  • · Catalogue: modalities Text/Image
  • · First seen 2026-02-05

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
23.0
7.4–38.7 uncertainty interval
Excluded from rank
Confidence
72%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

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

Deployment readiness

Metadata index
45.9
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, 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
9.3
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

No matched Arena rating

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%
36.9

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

Specification

Model ID
aisingapore/Gemma-SEA-LION-v4-4B-VL
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, Image
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
5 Feb 2026

Capabilities

  • Not supported: Reasoning
  • Not 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
171d7e4fc447
Parameters
4.3B
Architecture
Gemma3ForConditionalGeneration
Model type
gemma3
Hugging Face downloads (30d)
612
Downloads (all time)
14K
Likes
4
Repository updated
25 Aug 2026, 00:03 UTC

Alternatives to Gemma SEA LION v4 4B VL, by the numbers

Ranked neighbours

Models within 3 places of #256 on the ModelCap Index.

Other ranked Aisingapore models

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

Gemma SEA LION v4 4B VL: common questions

How does Gemma SEA LION v4 4B VL rank among AI models?

Gemma SEA LION v4 4B VL holds ModelCap Index position #256 of 350 ranked language models as of 25 October 2026, with an Index score of 25.3 (interval 8.4–42.2); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Gemma SEA LION v4 4B VL cost per 1M tokens?

No live API price is listed for Gemma SEA LION v4 4B VL in the current snapshot as of 25 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Gemma SEA LION v4 4B VL open-weight?

Restricted license (gemma). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is aisingapore/Gemma-SEA-LION-v4-4B-VL on Hugging Face.

Which benchmarks has Gemma SEA LION v4 4B VL been evaluated on?

Gemma SEA LION v4 4B VL's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 25 October 2026. The evidence panel names each source and its publication date.

When was Gemma SEA LION v4 4B VL released?

Gemma SEA LION v4 4B VL first appeared in the catalogue on 5 Feb 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.