UI-TARS 7B
VerifiedByteDance multimodal model for integrated image and text processing.
About UI-TARS 7B
UI-TARS 7B uses a multimodal architecture that processes both images and text in a single forward pass. Its 128000-token context window enables handling of lengthy documents paired with visual elements. The model remains closed-source and is distributed under ByteDance control.
Strengths include unified understanding of visual scenes and accompanying text without requiring separate encoders. This design reduces pipeline complexity for developers working on image-text workflows. Typical usage covers document analysis, visual question answering, and content moderation pipelines.
Users integrate the model through ByteDance APIs for production applications that need synchronized image and text reasoning. Its closed nature ensures consistent updates while limiting direct fine-tuning by external parties.
Capabilities
How UI-TARS 7B compares
UI-TARS 7B (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · UI-TARS 7B ranks #11 of 139
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
GUI Automation Scripting
Analyzes screenshots to identify interface elements and generates grounded interaction steps for building reliable automation scripts in desktop or web applications.
Visual Agent Development
Performs long-context multimodal reasoning to create step-by-step task plans that let agents navigate and operate software interfaces from visual input alone.
UI Screenshot Analysis
Provides detailed text descriptions and element recognition for user interface layouts, supporting design reviews or accessibility audits directly from images.
Strengths & limitations
Strengths
- +Specialized for UI/GUI tasks
- +Efficient 7B scale with practical deployment
- +Strong handling of extended 128k context
- +Native support for image + text inputs
Limitations
- –Narrow specialization may limit general-purpose use
- –Smaller model size constrains complex reasoning depth
- –Performance tied to UI-style visual domains
Cost calculator
Estimate what UI-TARS 7B would cost for your usage.
Based on UI-TARS 7B's $0.10/1M input · $0.20/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "bytedance/ui-tars-1.5-7b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: bytedance/ui-tars-1.5-7b
Editor's verdict
UI-TARS 7B is Bytedance's proprietary multimodal with a 128K-token context window.
At $0.20 per 1M output tokens, it is very cost-efficient for its class.
It is available through Bytedance's API and aggregators like OpenRouter.
Best suited to specialized for ui/gui tasks and efficient 7b scale with practical deployment.
Frequently asked questions
The model handles up to 128000 tokens of context for processing extended multimodal sequences.
User reviews
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