ByteDance: UI-TARS 7B

Public pricingIntelligence 79/100Medium memory비전

ByteDance: UI-TARS 7B 은 에이전트 워크플로와 도구 활용에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、안정적인 도구 사용과 에이전트 동작, 128K tokens의 컨텍스트, 저비용 특성을 결합해 agent workflows, tool use, and orchestration에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.10/1M

Output

$0.20/1M

Cached

$0.10/1M

Batch

$0.05/1M

Calculate your UI-TARS 7B bill.

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What would UI-TARS 7B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

UI-TARS 7B at a glance.

Memory

128,000

tokens

Max reply

2,048

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

Released

Apr 2025

Training cutoff

Dec 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick UI-TARS 7B

  • Screenshot analysis, image understanding, or document OCR.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • You need tool-use / function calling for agent workflows.

FAQ

UI-TARS 7B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, UI-TARS 7B costs roughly $16 per month. Input is $0.10 /1M tokens and output is $0.20 /1M tokens.
UI-TARS 7B has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, UI-TARS 7B supports understanding images. It streams replies by default.
UI-TARS 7B was released in April 2025, with training data cut off around December 2024.
Models in a similar class include Seed-2.0-Mini, Gemini 2.0 Flash, Gemini 2.5 Flash Lite. The "Similar models" section below this FAQ links into each.

Still unsure?

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