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ModelCap

LFM2.5-2.6B

Official publisher releaseRestricted licenseFree tier

Liquid

LFM2.5-2.6B is a language model from Liquid. It does not hold a position on ModelCap's current board. It is listed free of charge from one provider. It reads up to 66K tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 2 Oct 2026, 03:27 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Not scored
Market Gravity
29.4
Secondary market signal
Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
66K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Liquidfp8FreeFree66Kfp8100.0%

Reported evaluation leads (1)

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
LiquidAI/ifstruct-v1.0
ifstruct_v1
—85.49
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 · liquid/liquid/lfm-2.5-2.6b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata LiquidAI/LFM2.5-2.6B@654f9463ce32b05d0429d76fe1f580b27d4c1ac0 (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)
16.1
Liquidity (providers × uptime)
35.7
Open reach (HF downloads)
—
Surface (context / tools / modalities)
65.2
Freshness
82.2
  • · OpenRouter popularity #133
  • · 1 live provider
  • · Catalogue: context 65536, reasoning, tools
  • · 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
23.0
8.0–37.9 uncertainty interval
Excluded from rank
Confidence
76%
Training support
241 models · 138 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
72.5
partial · 80% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
92.5
Deployability
80.0
Evaluation provenance
0.0

Not yet published: 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
29.4
OpenRouter weekly popularity
#133 of 340

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%
16.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.7

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%
82.2

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

Specification

Model ID
liquid/lfm-2.5-2.6b
Context window
66K tokens
Max output
8K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
11 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • 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
654f9463ce32
Parameters
2.7B
Architecture
Lfm2ForCausalLM
Model type
lfm2
Hugging Face downloads (30d)
92K
Downloads (all time)
297K
Likes
792
Repository updated
24 Aug 2026, 21:06 UTC

LFM2.5-2.6B: common questions

How does LFM2.5-2.6B rank among AI models?

LFM2.5-2.6B 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 LFM2.5-2.6B cost per 1M tokens?

LFM2.5-2.6B is listed at Free per 1M input tokens and Free per 1M output tokens as of 2 October 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh; at least one provider lists a free tier. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply Free total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of LFM2.5-2.6B?

LFM2.5-2.6B has a published context window of 66K tokens (65,536) and a maximum output of 8K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is LFM2.5-2.6B 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/LFM2.5-2.6B on Hugging Face.

Which API providers serve LFM2.5-2.6B?

One provider serves LFM2.5-2.6B through OpenRouter as of 2 October 2026: Liquid. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was LFM2.5-2.6B released?

LFM2.5-2.6B 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.