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ModelCap

LFM2.5 230M

Official publisher releaseRestricted license

LiquidAI

LFM2.5 230M is a language model from LiquidAI. It does not hold a position on ModelCap's current board. Its weights are downloadable under a use-restricted licence.

Figures as of 2 Oct 2026, 03:44 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Not scored
Market Gravity
10.9
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.

Reported evaluation leads (2)

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. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
—25.41
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—20.25
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
—
Not scored
Technical details
Public rank basis
Not scored (abstained)
Evidence label
Not scored · peers unresolved
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · liquidai/LiquidAI/LFM2.5-230M · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata LiquidAI/LFM2.5-230M@40cb2ad3b3044d5a41eee083a6103c8b523afa45 (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)
—
Surface (context / tools / modalities)
0.0
Freshness
68.5
  • · Catalogue surface
  • · First seen 2026-06-24

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
3.2
0.0–19.9 uncertainty interval
Excluded from rank
Confidence
74%
Training support
241 models · 138 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
9.1 MAE

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

Deployment readiness

Metadata index
50.9
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
92.5
Deployability
8.0
Evaluation provenance
0.0

Not yet published: 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
10.9
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%
68.5

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

Specification

Model ID
LiquidAI/LFM2.5-230M
Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
24 Jun 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
lfm1.0
Pinned revision
40cb2ad3b304
Parameters
229.7M
Architecture
Lfm2ForCausalLM
Model type
lfm2
Hugging Face downloads (30d)
87K
Downloads (all time)
238K
Likes
301
Repository updated
19 Aug 2026, 13:47 UTC

LFM2.5 230M: common questions

How does LFM2.5 230M rank among AI models?

LFM2.5 230M has no public ModelCap Index position as of 2 October 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does LFM2.5 230M cost per 1M tokens?

No live API price is listed for LFM2.5 230M in the current snapshot as of 2 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is LFM2.5 230M open-weight?

Restricted license (lfm1.0). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is LiquidAI/LFM2.5-230M on Hugging Face.

When was LFM2.5 230M released?

LFM2.5 230M first appeared in the catalogue on 24 Jun 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.