LLaDA2.0 mini

Official publisher releaseOpen weights

InclusionAI·#322 of 502 in the all-versions archive

LLaDA2.0 mini is a language model from InclusionAI. It ranks #322 of 502 in ModelCap's all-versions archive, with an Index score of 34.3, modeled from the publisher's launch results against measured models. Its score range of 17.4–51.2 spans positions #189–#423. Its weights are openly downloadable.

Figures as of 25 Oct 2026, 23:19 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive

34.3#322

Modeled from the publisher's launch results against measured models · range 17.4–51.2

Market Gravity

14.6

Secondary market signal

Superseded by LLaDA2.2 mini. It no longer holds a current-board position; its all-versions archive rank is #322.

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

endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Other versions (3)

ModelCap Index · All-versions archive

Methodology

34.3

Modeled from the publisher's launch results against measured models

All-versions archive

#322 of 502

Score range: 17.4–51.2
Rank range: #189–#423

Technical details

Public rank basis: Modeled · peer benchmarks (architecture)
Evidence label: Modeled · peer benchmarks · 4 reported rows against measured corpus ladders (68%); global-corpus-prior over 211 held-out anchors (32%); shrunk 8.6 up toward the measured corpus
Index support: 19.9% · limited
Identity binding: Exact catalogue product · inclusionai/inclusionAI/LLaDA2.0-mini · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata inclusionAI/LLaDA2.0-mini@dad945cac317da394b390f82c7b40691d8a881ed (not the evaluation revision)
Index observations used: 0
Qualified Index evidence point: 34.3

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: 34.3 ± 13.2
Independent share: 0%
Shrink toward corpus: +8.6
Optimism haircut: None applied
Method: precision-weighted-v1

Channels fused into this model’s launch placement
Channel	Estimate	Share
Corpus ladder · not independent 4 reported rows against measured corpus ladders	25.7 ± 16.1	68%
Publisher corpus prior · not independent global-corpus-prior over 211 held-out anchors	52.3 ± 23.3	32%

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): 88.0
Surface (context / tools / modalities): 0.0
Freshness: 28.0

· HF 30d downloads 116262
· Catalogue surface
· First seen 2025-11-25

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

18.8

3.9–33.6 uncertainty interval

Excluded from rank

Confidence: 76%
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

47.9

partial · 52% metadata coverage

Not capability

Artifact reproducibility: 85.0
Access & legal clarity: 100.0
Deployability: 8.0
Evaluation provenance: 0.0

Not yet published: the base model it derives from, 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: 14.6
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
Liquidity25%: 0.0
Open reach15%: 88.0
Freshness5%: 28.0

Specification

Model ID: inclusionAI/LLaDA2.0-mini
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
Outputs: Text
Cached input tokens: Not offered
First seen on OpenRouter: 25 Nov 2025

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: dad945cac317
Parameters: 16.3B
Architecture: LLaDA2MoeModelLM
Model type: llada2_moe
Hugging Face downloads (30d): 116K
Downloads (all time): 1.4M
Likes: 71
Repository: inclusionAI/LLaDA2.0-mini
Repository updated: 13 Apr 2026, 11:29 UTC

LLaDA2.0 mini: common questions

How does LLaDA2.0 mini rank among AI models?

LLaDA2.0 mini is a superseded version and is not on the current board as of 25 October 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does LLaDA2.0 mini cost per 1M tokens?

No live API price is listed for LLaDA2.0 mini 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 LLaDA2.0 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/LLaDA2.0-mini on Hugging Face.

When was LLaDA2.0 mini released?

LLaDA2.0 mini first appeared in the catalogue on 25 Nov 2025. It has since been superseded by LLaDA2.2 mini. Rank and price movements since then are recorded on the site's changes feed.