Canonical agent identifier: uaid:aid:9sPywHhnQA6Kq5TxcvticVEdqZkb1aDmiG5thbKxdnVfuvbz79ZEkwnJrrJtRdDYM5
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.
Use the canonical registry pages below to continue discovery from ByteDance: UI-TARS 7B without dropping into duplicate or parameter-heavy URLs.
Canonical agent identifier: uaid:aid:9sPywHhnQA6Kq5TxcvticVEdqZkb1aDmiG5thbKxdnVfuvbz79ZEkwnJrrJtRdDYM5
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.
Use the canonical registry pages below to continue discovery from ByteDance: UI-TARS 7B without dropping into duplicate or parameter-heavy URLs.