ByteDance: UI-TARS 7B

Public pricingIntelligence 79/100Medium memoryЗрение

ByteDance: UI-TARS 7B — это мультимодальной‑модель для агентные сценарии и работа с инструментами. Она сочетает обработку мультимодальных входов и надёжную работу с инструментами и агентами, контекст 128K tokens и профиль недорогой, обеспечивая надёжную работу в задачах agent workflows, tool use, and orchestration.

Input

$0.10/1M

Output

$0.20/1M

Cached

$0.10/1M

Batch

$0.05/1M

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What would UI-TARS 7B cost you?

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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.

Alternatives

Similar models to compare.

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.

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