UI-TARS 7B
Open weightsByteDance·bytedance/ui-tars-1.5-7b
UI-TARS 7B is a language model published by ByteDance. 1 OpenRouter endpoint is published in the latest snapshot. It accepts image, text input and returns text. The published context limit is 128K tokens. The catalogue declares support for structured outputs.
Providers
Uptime measured over the last 30 minutesReported evaluation leads (27)
Excluded from scoreStructured 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.
Showing 20 of 27 rows.
ModelCap Index · Current board
Methodology- 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 · bytedance/bytedance/ui-tars-1.5-7b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ByteDance-Seed/UI-TARS-1.5-7B@683d002dd99d8f95104d31e70391a39348857f4e (not the evaluation revision)
- Direct benchmark observations
- 0
- Architecture fallback
- abstained · 0% coverage · 0 anchors
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%
- Usage (OpenRouter popularity)
- 3.5
- Liquidity (providers × uptime)
- 16.2
- Open reach (HF downloads)
- 64.0
- Surface (context / tools / modalities)
- 40.0
- Freshness
- 23.4
- · OpenRouter popularity #244
- · 1 live provider
- · HF 30d downloads 899858
- · Catalogue: context 128000, modalities Image/Text
- · First seen 2025-07-22
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- Confidence
- 70%
- 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- Artifact reproducibility
- 85.0
- Access & legal clarity
- 100.0
- Deployability
- 74.0
- Evaluation provenance
- 0.0
Missing: artifactReproducibility.base-lineage, 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
- 16.7
- OpenRouter weekly popularity
- #244 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
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%
- 3.5
- Liquidity25%
- 16.2
- Open reach15%
- 64.0
- Freshness5%
- 23.4
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Context window
- 128K tokens
- Max output
- 2K tokens
- Inputs
- Image, Text
- Outputs
- Text
- Tokenizer
- Other
- Cached input tokens
- $0.10 / 1M
- First seen on OpenRouter
- 22 Jul 2025
- Knowledge cutoff
- 2025-01-31
Capabilities
- Not supported: Reasoning
- Not supported: Tool use
- 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
- 683d002dd99d
- Parameters
- 8.3B
- Architecture
- Qwen2_5_VLForConditionalGeneration
- Model type
- qwen2_5_vl
- Hugging Face downloads (30d)
- 900K
- Downloads (all time)
- 3.4M
- Likes
- 584
- Repository
- ByteDance-Seed/UI-TARS-1.5-7B
- Repository updated
- 18 Apr 2025, 01:35 UTC