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ModelCap

LLaDA2.1 mini

Official publisher releaseOpen weights

InclusionAI·inclusionAI/LLaDA2.1-mini

LLaDA2.1 mini 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 · All-versions archive
—
Not scored · 0% support · score interval not available
Market Gravity
14.4
Secondary market signal

Superseded by LLaDA2.2 mini. It no longer holds a current-board position.

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.

Other versions (1)

ModelCap Index · All-versions archive

Methodology
—
Not scored · peers unresolved
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
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 · inclusionai/inclusionAI/LLaDA2.1-mini · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata inclusionAI/LLaDA2.1-mini@20e64e2ad21644d0e5248586ed9c942cdd45de0f (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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)
80.9
Surface (context / tools / modalities)
0.0
Freshness
44.5
  • · HF 30d downloads 109592
  • · Catalogue surface
  • · First seen 2026-02-09

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
37.4
17.8–57.0 uncertainty interval
Excluded from rank
Confidence
69%
Training support
187 models · 107 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.4 MAE

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

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
14.4
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%
80.9

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

Freshness5%
44.5

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

Specification

Context window
— tokens
Max output
—
Inputs
Text
Outputs
Text
Tokenizer
—
Cached input tokens
Not offered
First seen on OpenRouter
9 Feb 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
20e64e2ad216
Parameters
16.3B
Architecture
LLaDA2MoeModelLM
Model type
llada2_moe
Hugging Face downloads (30d)
110K
Downloads (all time)
333K
Likes
125
Repository
inclusionAI/LLaDA2.1-mini
Repository updated
13 Apr 2026, 11:51 UTC

LLaDA2.1 mini: common questions

How does LLaDA2.1 mini rank among AI models?

LLaDA2.1 mini is a superseded version and is not on the current board as of 9 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does LLaDA2.1 mini cost per 1M tokens?

No live API price is listed for LLaDA2.1 mini 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 LLaDA2.1 mini 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 inclusionAI/LLaDA2.1-mini on Hugging Face.

When was LLaDA2.1 mini released?

LLaDA2.1 mini first appeared in the catalogue on 9 Feb 2026. It has since been superseded by LLaDA2.2 mini. Rank and price movements since then are recorded on the site's changes feed.