ByteDance: UI-TARS 7B

Public pricingIntelligence 79/100Medium memoryविज़न

ByteDance: UI-TARS 7B एक मल्टीमॉडल मॉडल है, जिसे agent workflows और tool use के लिए बनाया गया है। यह multimodal input handling، विश्वसनीय tool use और agent behavior, 128K tokens का context और कम लागत profile जोड़कर agent workflows, tool use, and orchestration में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

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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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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