UI-TARS 7B

ByteDance chatvisionreasoningtool_use

API ID: bytedance/ui-tars-1.5-7b

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Input Price
$0.10
/1M tokens
Output Price
$0.20
/1M tokens

About UI-TARS 7B

UI-TARS is ByteDance's specialized model for user interface understanding and interaction. The model excels at analyzing UI screenshots, understanding interface elements, and generating appropriate interactions. UI-TARS is particularly valuable for automated testing, accessibility analysis, and UI-based AI agents. The model demonstrates ByteDance's expertise in visual understanding from their app development experience. For developers building UI automation or analysis tools, UI-TARS offers specialized capability.

💰
Price Ranking
#334 lowest price among 599 Chat models

Model Specifications

Context Length
128k
Max Output
2k
Release Date
2025-07-22
Capabilities
chat vision reasoning tool_use
Input Modalities
imagetext
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.10
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$3.30
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$4.65
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

ByteDance Model Lineup

Compare all models from ByteDance to find the best fit

Model Input Output Context Capabilities
UI-TARS 7B Current $0.10 $0.20 128k chat vision reasoning tool_use
UI-TARS 72B Free Free 33k chat vision
Seedream 4.5 Free $9.58 4k chat vision image_gen
Seed OSS 36B Instruct Free Free 131k chat reasoning
Seed 1.6 Flash $0.07 $0.30 262k chat vision video
Seed 1.6 $0.25 $2.00 262k chat vision video
View All ByteDance Models →

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🚀 Quick Start

Get started with UI-TARS 7B API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="bytedance/ui-tars-1.5-7b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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