AI 모델 인텔리전스

UI-TARS 7B

openrouter/ui-tars-1-5-7b

제공: openrouter · 출시 2025-07-22 · 지식 컷오프: 2025-01-31

⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.

$0.100
입력 / 1M 토큰
$0.200
출력 / 1M 토큰
128K
컨텍스트 창
2K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

✗ 도구 호출✗ 추론✓ 구조화 출력✓ 첨부✓ 오픈 웨이트✓ 온도 제어
모달리티: 입력 image, text · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding23
  • Tool calling0/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents26
  • Tool calling0/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output79
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency80
  • Headline price (log-scaled)75/95
  • Has prompt-cache pricing5/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Vision78
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.60
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$1.20
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.30
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$1.00
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$1.32
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: openrouter · bytedance/ui-tars-1.5-7b

$0.100
입력
$0.200
출력
$0.100
캐시 읽기

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
OpenRouter
openrouter
bytedance/ui-tars-1.5-7b$0.100$0.200128K2025-07-22

Frequently asked questions

How much does UI-TARS 7B cost?

UI-TARS 7B costs $0.100 per 1M input tokens and $0.200 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of UI-TARS 7B ?

UI-TARS 7B has a context window of 128K tokens, with a max output of 2K tokens per reply. This is the total combined size of prompt + completion.

Does UI-TARS 7B support tool calling?

No. UI-TARS 7B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does UI-TARS 7B support structured output / JSON mode?

Yes. UI-TARS 7B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can UI-TARS 7B accept image input?

Yes. UI-TARS 7B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.

Is UI-TARS 7B open-weight?

Yes. UI-TARS 7B 's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to UI-TARS 7B ?

If UI-TARS 7B doesn't fit, consider Ling-2.6-1T, Ring-2.6-1T, Ling-2.6-flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More openrouter models

Capability lists this model is in

See also

마지막 업데이트:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.