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ModelCap

gemma 4 12B it

Current board #44Official publisher releaseOpen weights

Google·google/gemma-4-12B-it

gemma 4 12B it is ModelCap current-board rank #44 with Index 61.4 (Modeled · peer benchmarks), from the ModelCap Index as of 9 Sept 2026, 20:46 UTC.

gemma 4 12B it weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
61.4#44
Estimated · 32% support · score interval 54.0–68.8
No admitted evaluation publication timestamp yet
Market Gravity
18.0
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
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Reported evaluation leads (9)

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. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
5.2
Unpinned
not published
Reported
Not used in launch estimate
Idavidrein/gpqa
diamond
78.8
Unpinned
not published
Reported
Not used in launch estimate
llamaindex/ExtractBench
mean
45.39
Unpinned
not published
Reported
Not used in launch estimate
llamaindex/ExtractBench
short
53.62
Unpinned
not published
Reported
Not used in launch estimate
llamaindex/ExtractBench
medium
30.82
Unpinned
not published
Reported
Not used in launch estimate
llamaindex/ExtractBench
long
13.16
Unpinned
not published
Reported
Not used in launch estimate
MathArena/aime_2026
MathArena/aime_2026
77.5
Unpinned
not published
Reported
Not used in launch estimate
MMMU/MMMU_Pro
mmmu_pro
69.1
Unpinned
not published
Reported
Used in launch estimate
TIGER-Lab/MMLU-Pro
mmlu_pro
77.2
Unpinned
not published
Reported
Used in launch estimate

ModelCap Index · Current board

Methodology
61.4
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#44
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
32.0% · limited
Index interval
54.0–68.8
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · google/google/gemma-4-12B-it · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata google/gemma-4-12B-it@707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
61.4
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
61.4 ± 5.8
Independent share
0%
Shrink toward corpus
+0.3
Peer ceiling share
0%
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 182 held-out anchors
65.0 ± 22.37%
Launch card against resolved peers · not independent
launch card against 3 resolved peers on 6 rows
61.1 ± 6.093%
  • · Launch card row aime-2026-without-tools: inside the resolved peer range
  • · Launch card row gpqa-diamond: inside the resolved peer range
  • · Launch card row hle-without-tools: claims below every resolved peer
  • · Launch card row livecodebench-v-6: inside the resolved peer range
  • · Launch card row mmlu-pro: inside the resolved peer range
  • · Launch card row mmmu-pro: inside the resolved peer range
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)
98.0
Surface (context / tools / modalities)
15.0
Freshness
65.8
  • · HF 30d downloads 3087403
  • · Catalogue: modalities Text/Image/Audio
  • · First seen 2026-05-23

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
Estimator abstained

uncertainty-above-gate

Feature coverage
71%
Training support
187 models · 107 lineages

uncertainty-above-gate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, 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
18.0
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%
98.0

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

Freshness5%
65.8

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

Specification

Context window
tokens
Max output
Inputs
Text, Image, Audio
Outputs
Text, Image, Audio
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
23 May 2026

Capabilities

  • Not supported: Reasoning
  • Not 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
707f0a3b8a3c
Parameters
12.0B
Architecture
Gemma4UnifiedForConditionalGeneration
Model type
gemma4_unified
Hugging Face downloads (30d)
3.1M
Downloads (all time)
10.3M
Likes
2K
Repository updated
20 Jul 2026, 16:42 UTC
Base lineage
google/gemma-4-12B

Compare gemma 4 12B it with

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Ranked neighbours

Models within 3 places of #44 on the ModelCap Index.

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

gemma 4 12B it: common questions

How does gemma 4 12B it rank among AI models?

gemma 4 12B it holds ModelCap Index position #44 of 160 ranked language models as of 9 September 2026, with an Index score of 61.4 (interval 54.0–68.8); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does gemma 4 12B it cost per 1M tokens?

No live API price is listed for gemma 4 12B it in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is gemma 4 12B it 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 google/gemma-4-12B-it on Hugging Face.

Which benchmarks has gemma 4 12B it been evaluated on?

gemma 4 12B it'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 9 September 2026. The evidence panel names each source and its publication date.

How does gemma 4 12B it compare with LongCat Flash Thinking 2601?

gemma 4 12B it ranks #44 (Index 61.4) and LongCat Flash Thinking 2601 ranks #45 (Index 61.3) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was gemma 4 12B it released?

gemma 4 12B it first appeared in the catalogue on 23 May 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.