ByteDance UI-TARS 7B

UI-TARS 7B by ByteDance excels in the Coding category, where it ranks #327 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

UI-TARS 7B is priced at $0.10 per million input tokens and $0.20 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, UI-TARS 7B holds rank #327 out of 378 models tracked. Its quality rank is #327 and adoption rank is #327. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

UI-TARS 7B has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (100/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

UI-TARS 7B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check ByteDance's website for current free tier availability and promotional offers.

UI-TARS 7B supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

UI-TARS 7B can generate up to 2K output tokens (2,048 tokens) per response. That is roughly 1,536 words. Sufficient for typical conversations, code snippets, and summaries.

UI-TARS 7B supports image understanding (vision), structured JSON output, streaming responses. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Yes, UI-TARS 7B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

UI-TARS 7B was developed by ByteDance. It was released on July 22, 2025. You can access it through ByteDance's API or download the model weights directly. Check our provider page for all models from ByteDance and how they compare against each other.

Pick UI-TARS 7B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access UI-TARS 7B through ByteDance's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.