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ModelCap

Ling 3.0 flash base 30T

Current board #183Official publisher releaseOpen weights7d #182 → #183

InclusionAI·inclusionAI/Ling-3.0-flash-base-30T

Ling 3.0 flash base 30T is ModelCap current-board rank #183 with Index 17.0 (Modeled · prior), from the ModelCap Index as of 20 Aug 2026, 05:02 UTC.

Ling 3.0 flash base 30T weight access is open weights, from ModelCap classification of published repository metadata as of 20 Aug 2026, 05:02 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
17.0#183
Estimated · 6% support · score interval 17.0–71.8
No admitted evaluation publication timestamp yet
Market Gravity
5.2
Secondary market signal

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

Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
17.0
Modeled · prior · calibrated architecture-and-release-era fallback from static public metadata
Current board
#183
Public rank basis
Modeled · prior (architecture)
Index support
6.4% · weak
Index interval
17.0–71.8
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 · inclusionai/inclusionAI/Ling-3.0-flash-base-30T · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata inclusionAI/Ling-3.0-flash-base-30T@faf45ae52b4e2ad1f02689bfe7bddb9f571e43d9 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
44.4
Architecture fallback
estimated · 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)
2.3
Surface (context / tools / modalities)
0.0
Freshness
96.7
  • · HF 30d downloads 0
  • · Catalogue surface
  • · First seen 2026-08-11

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
42.7
22.7–62.6 uncertainty interval
Excluded from rank
Confidence
67%
Training support
218 models · 137 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
11.2 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
5.2
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%
2.3

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

Freshness5%
96.7

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
11 Aug 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
mit
Pinned revision
faf45ae52b4e
Parameters
127.5B
Architecture
BailingMoeV3ForCausalLM
Model type
bailing_hybrid
Hugging Face downloads (30d)
0
Downloads (all time)
0
Likes
5
Repository updated
19 Aug 2026, 16:15 UTC

Compare Ling 3.0 flash base 30T with

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Ranked neighbours

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Ling 3.0 flash base 30T: common questions

How does Ling 3.0 flash base 30T rank among AI models?

Ling 3.0 flash base 30T holds ModelCap Index position #183 of 238 ranked language models as of 20 August 2026, with an Index score of 17.0 (interval 17.0–71.8); evidence: modeled · prior. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Ling 3.0 flash base 30T cost per 1M tokens?

No live API price is listed for Ling 3.0 flash base 30T in the current snapshot as of 20 August 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Ling 3.0 flash base 30T open-weight?

Open weights (mit). 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/Ling-3.0-flash-base-30T on Hugging Face.

Which benchmarks has Ling 3.0 flash base 30T been evaluated on?

Ling 3.0 flash base 30T'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 20 August 2026. The evidence panel names each source and its publication date.

How does Ling 3.0 flash base 30T compare with SingGuard NSFA 0.8B?

Ling 3.0 flash base 30T ranks #183 (Index 17.0) and SingGuard NSFA 0.8B ranks #184 (Index 17.0) on the ModelCap Index as of 20 August 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Ling 3.0 flash base 30T released?

Ling 3.0 flash base 30T first appeared in the catalogue on 11 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.