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 learning-based reasoning, enabling robust action planning and execution across virtual interfaces.
This model achieves state-of-the-art results on a range of interactive and grounding benchmarks, including OSworld, WebVoyager, AndroidWorld, and ScreenSpot. It also demonstrates perfect task completion across diverse Poki games and outperforms prior models in Minecraft agent tasks. UI-TARS-1.5 supports thought decomposition during inference and shows strong scaling across variants, with the 1.5 version notably exceeding the performance of earlier 72B and 7B checkpoints.
Modalities
In / Out Price
$0.10 / $0.20per 1M
Context
128K
Released
Jul 22, 2025
Knowledge Cutoff
Jan 2025
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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 learning-based reasoning, enabling robust action planning and execution across virtual interfaces.
UI-TARS 7B costs $0.10/M input tokens and $0.20/M output tokens, with separate rates for Cache Read at $0.10/M tokens.
UI-TARS 7B has a 128,000 token context window. It supports up to 2,048 completion tokens.
The UI-TARS 7B endpoint shown on this page does not accept tools, so function calling is unavailable there. It also supports structured outputs via a JSON schema in response_format.
UI-TARS 7B accepts images and text as input and returns text.
UI-TARS 7B was released on July 22, 2025. Its knowledge cutoff is January 31, 2025.
| $0.10 | $0.20 | $0.10 | 1.28s | 11 tps |
Throughput
11tok/s
P50, best across providers
Latency
1.27s
P50, best provider
100.00%
99.96%
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