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ModelCap

Laguna S 2.1

Restricted licenseFree tier

Poolside·poolside/laguna-s-2.1

Laguna S 2.1 is a language model published by Poolside. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text input and returns text. The published context limit is 1.0M tokens. The catalogue declares support for reasoning, tool use.

ModelCap Index · Current board
—
Not scored · 0% support · score interval not available
Market Gravity
53.7
Secondary market signal
Input
$0.09
per 1M tokens
Output
$0.18
per 1M tokens
Context
1.0M
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Poolsidefp4$0.09$0.181.0Mfp4100.0%

Reported evaluation leads (3)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
datacurve/deep-swe
deep_swe
—40.4
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
—59.4
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_%_resolved
—78.5
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
—
Not scored · excessive distance
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
Identity binding
Exact catalogue product · poolside/poolside/laguna-s-2.1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata poolside/Laguna-S-2.1@00af5a51782109b587a3b3bbf11875e566036fa7 (not the evaluation revision)
Direct benchmark observations
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)
59.6
Liquidity (providers × uptime)
35.0
Open reach (HF downloads)
—
Surface (context / tools / modalities)
85.0
Freshness
93.7
  • · OpenRouter popularity #10
  • · 1 live provider
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-07-21

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
73.0
57.8–88.3 uncertainty interval
Excluded from rank
Confidence
76%
Training support
156 models · 94 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
61.2
partial · 71% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
74.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, accessLegalClarity.resolvable-license-terms, 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
53.7
OpenRouter weekly popularity
#10 of 298

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

Awaiting evaluation

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%
59.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.0

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%
93.7

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

Specification

Context window
1.0M tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.0090 / 1M
First seen on OpenRouter
21 Jul 2026

Capabilities

  • Supported: Reasoning
  • 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
openmdw-1.1
Pinned revision
00af5a517821
Parameters
117.6B
Architecture
LagunaForCausalLM
Model type
laguna
Hugging Face downloads (30d)
89K
Downloads (all time)
89K
Likes
937
Repository
poolside/Laguna-S-2.1
Repository updated
27 Jul 2026, 11:25 UTC