ByteDance • LLM
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
Context Window
128K tokens
Input Price/1M
$0.10
Output Price/1M
$0.20
Parameters
—
Max Output
2K tokens
ByteDance: UI-TARS 7B is an AI model developed by ByteDance, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
ByteDance: UI-TARS 7B is usage-based, priced at $0.1/1M input tokens and $0.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
We don't have detailed benchmark results for ByteDance: UI-TARS 7B yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
ByteDance: UI-TARS 7B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, ByteDance: UI-TARS 7B competes directly with similarly capable models. ByteDance competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
ByteDance: UI-TARS 7B costs $0.1/1M input tokens and $0.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
We don't have detailed benchmarks for ByteDance: UI-TARS 7B yet. Check the main benchmark page to compare available models.
Yes, ByteDance: UI-TARS 7B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
ByteDance: UI-TARS 7B excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: May 15, 2026 • View methodology →