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ModelCap

Laguna XS.2

Current board #60Official publisher releaseOpen weights7d #64 → #60

Poolside·poolside/Laguna-XS.2

Laguna XS.2 is ModelCap current-board rank #60 with Index 54.3 (Modeled · peer benchmarks), from the ModelCap Index as of 9 Sept 2026, 20:46 UTC.

Laguna XS.2 weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
54.3#60
Estimated · 20% support · score interval 36.7–72.0
No admitted evaluation publication timestamp yet
Market Gravity
10.4
Secondary market signal

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
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Reported evaluation leads (4)

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. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
harborframework/terminal-bench-2.0
terminalbench_2
35.7
Unpinned
not published
Reported
Not used in launch estimate
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
46.3
Unpinned
not published
Reported
Not used in launch estimate
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
57.7
Unpinned
not published
Reported
Not used in launch estimate
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
69.9
Unpinned
not published
Reported
Not used in launch estimate

ModelCap Index · Current board

Methodology
54.3
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#60
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
19.8% · limited
Index interval
36.7–72.0
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 · poolside/poolside/Laguna-XS.2 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata poolside/Laguna-XS.2@69e3f4046616e40fb55ac54e0e2e6accbe5cadfe (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
54.3
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
54.3 ± 13.8
Independent share
0%
Shrink toward corpus
-0.5
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Corpus ladder · not independent
4 reported rows against measured corpus ladders
54.9 ± 17.562%
Publisher corpus prior · not independent
global-corpus-prior over 182 held-out anchors
53.5 ± 22.338%
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
58.9
  • · Catalogue surface
  • · First seen 2026-04-23

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
40.2
20.4–60.1 uncertainty interval
Excluded from rank
Confidence
68%
Training support
187 models · 107 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.4 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
10.4
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%
58.9

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
23 Apr 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
apache-2.0
Pinned revision
69e3f4046616
Parameters
33.4B
Architecture
LagunaForCausalLM
Model type
laguna
Hugging Face downloads (30d)
Downloads (all time)
Likes
Repository updated
14 Jul 2026, 08:34 UTC

Metadata status: stale · HTTP 429.

Compare Laguna XS.2 with

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Ranked neighbours

Models within 3 places of #60 on the ModelCap Index.

Other ranked Poolside models

The same publisher's other current models with a public Index position.

Laguna XS.2: common questions

How does Laguna XS.2 rank among AI models?

Laguna XS.2 holds ModelCap Index position #60 of 160 ranked language models as of 9 September 2026, with an Index score of 54.3 (interval 36.7–72.0); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Laguna XS.2 cost per 1M tokens?

No live API price is listed for Laguna XS.2 in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Laguna XS.2 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 poolside/Laguna-XS.2 on Hugging Face.

Which benchmarks has Laguna XS.2 been evaluated on?

Laguna XS.2'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 9 September 2026. The evidence panel names each source and its publication date.

How does Laguna XS.2 compare with Mistral Large 3 2512?

Laguna XS.2 ranks #60 (Index 54.3) and Mistral Large 3 2512 ranks #59 (Index 55.1) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Laguna XS.2 released?

Laguna XS.2 first appeared in the catalogue on 23 Apr 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.