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ModelCap

UI Venus 2 9B

Official publisher releaseLicense unverified

InclusionAI·#31 of 351 on the current board

UI Venus 2 9B is a language model from InclusionAI. It ranks #31 of 351 on ModelCap's current board, with an Index score of 72.7, modeled from the publisher's launch results against measured models. Its score range of 65.3–80.2 spans positions #12–#53.

Figures as of 18 Oct 2026, 04:49 UTC · download the public dataset · methodology

ModelCap Index · Current board
72.7#31
Modeled from the publisher's launch results against measured models · range 65.3–80.2
Market Gravity
11.6
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.

ModelCap Index · Current board

Methodology
72.7
Modeled from the publisher's launch results against measured models
Current board
#31 of 351
Score range
65.3–80.2
Rank range
#12–#53
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · global-corpus-prior over 213 held-out anchors (6%); launch card against 3 resolved peers on 3 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 1.3 toward the measured corpus
Index support
23.0% · limited
Identity binding
Exact catalogue product · inclusionai/inclusionAI/UI-Venus-2-9B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata inclusionAI/UI-Venus-2-9B@90d6dfe13ece735f82793635b69bcc10c710e2ab (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
72.7
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
72.7 ± 5.8
Independent share
0%
Shrink toward corpus
-1.3
Peer ceiling share
0%
Optimism haircut
None required · cross lab probe, 1 probe
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 213 held-out anchors
53.4 ± 23.56%
Launch card against resolved peers · not independent
launch card against 3 resolved peers on 3 rows
74.0 ± 6.094%
  • · Launch card row osworld-2-0-binary-acc: claims below every resolved peer
  • · Launch card row osworld-2-0-partial-score: inside the resolved peer range
  • · Launch card row osworld-verified: claims below every resolved peer
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)
15.0
Freshness
81.9
  • · Catalogue: modalities Text/Image
  • · First seen 2026-08-26

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
Estimator abstained

out-of-domain

Feature coverage
71%
Training support
223 models · 128 lineages

out-of-domain. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
38.9
limited · 44% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
32.5
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a declared licence, a link to the licence terms, 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
11.6
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%
81.9

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

Specification

Model ID
inclusionAI/UI-Venus-2-9B
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
26 Aug 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

License unverified. A weight repository exists, but ModelCap could not verify its license classification from the current source metadata.

Access
License unverified
Pinned revision
90d6dfe13ece
Parameters
1.5M
Architecture
Qwen3_5ForConditionalGeneration
Model type
qwen3_5
Hugging Face downloads (30d)
15K
Downloads (all time)
22K
Likes
43
Repository updated
2 Sept 2026, 03:19 UTC
Base lineage
Qwen/Qwen3.5-9B

Alternatives to UI Venus 2 9B, by the numbers

Ranked neighbours

Models within 3 places of #31 on the ModelCap Index.

Other ranked InclusionAI models

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

UI Venus 2 9B: common questions

How does UI Venus 2 9B rank among AI models?

UI Venus 2 9B holds ModelCap Index position #31 of 351 ranked language models as of 18 October 2026, with an Index score of 72.7 (interval 65.3–80.2); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does UI Venus 2 9B cost per 1M tokens?

No live API price is listed for UI Venus 2 9B in the current snapshot as of 18 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Which benchmarks has UI Venus 2 9B been evaluated on?

UI Venus 2 9B'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 18 October 2026. The evidence panel names each source and its publication date.

When was UI Venus 2 9B released?

UI Venus 2 9B first appeared in the catalogue on 26 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.