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ModelCap

UI Mate 9B

Current board #91Official publisher releaseNewOpen weights7d #90 → #91

Tencent·tencent/UI-Mate-9B

UI Mate 9B is ModelCap current-board rank #91 with Index 27.4 (Modeled · lineage), from the ModelCap Index as of 18 Aug 2026, 14:31 UTC.

UI Mate 9B weight access is open weights, from ModelCap classification of published repository metadata as of 18 Aug 2026, 14:31 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
27.4#91
Inherited · 8% support · score interval 27.4–49.2
No admitted evaluation publication timestamp yet
Market Gravity
5.1
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
27.4
Modeled · lineage · finetune · finetune
Current board
#91
Public rank basis
Modeled · lineage (lineage)
Index support
8.0% · weak
Index interval
27.4–49.2
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 · tencent/tencent/UI-Mate-9B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata tencent/UI-Mate-9B@a0d6525990a8142a15f3e8f5296cdea208f0de94 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
35.8
Verified lineage
qwen/qwen3.5-9b · minus 1.2 ( finetune)
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)
1.2
Surface (context / tools / modalities)
15.0
Freshness
98.3
  • · HF 30d downloads 2
  • · Catalogue: modalities Text/Image
  • · First seen 2026-08-14

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
218 models · 138 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
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: 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
5.1
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%
1.2

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
98.3

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

Specification

Context window
tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
14 Aug 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
a0d6525990a8
Parameters
1.5M
Architecture
Qwen3_5ForConditionalGeneration
Model type
qwen3_5
Hugging Face downloads (30d)
2
Downloads (all time)
2
Likes
12
Repository updated
18 Aug 2026, 12:20 UTC
Base lineage
Qwen/Qwen3.5-9B

Compare UI Mate 9B with

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Alternatives to UI Mate 9B, by the numbers

Ranked neighbours

Models within 3 places of #91 on the ModelCap Index.

Other ranked Tencent models

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

UI Mate 9B: common questions

How does UI Mate 9B rank among AI models?

UI Mate 9B holds ModelCap Index position #91 of 237 ranked language models as of 18 August 2026, with an Index score of 27.4 (interval 27.4–49.2); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

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

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

Is UI Mate 9B 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 tencent/UI-Mate-9B on Hugging Face.

Which benchmarks has UI Mate 9B been evaluated on?

UI Mate 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 August 2026. The evidence panel names each source and its publication date.

How does UI Mate 9B compare with North Mini Code?

UI Mate 9B ranks #91 (Index 27.4) and North Mini Code ranks #92 (Index 26.4) on the ModelCap Index as of 18 August 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was UI Mate 9B released?

UI Mate 9B first appeared in the catalogue on 14 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.