Add link to paper
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nielsr
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README.md
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license: apache-2.0
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language:
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pipeline_tag: image-text-to-text
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tags:
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- multimodal
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- gui
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library_name: transformers
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---
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[UI-TARS-2B-
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[UI-TARS-
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[UI-TARS-7B-
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[UI-TARS-
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[UI-TARS-72B-
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| **UI-TARS-
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| **UI-TARS-
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| **UI-TARS-
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**Offline Agent Capability Evaluation**
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- **Multimodal Mind2Web**
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| Method | Cross-Task Ele.Acc | Cross-Task Op.F1 | Cross-Task Step SR | Cross-Website Ele.Acc | Cross-Website Op.F1 | Cross-Website Step SR | Cross-Domain Ele.Acc | Cross-Domain Op.F1 | Cross-Domain Step SR |
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|--------|----------------------|-------------------|--------------------|----------------------|--------------------|-------------------|--------------------|-------------------|-------------------|
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| **Agent Framework** | | | | | | | | | |
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| GPT-4o (SeeClick) | 32.1 | - | - | 33.1 | - | - | 33.5 | - | - |
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| GPT-4o (UGround) | 47.7 | - | - | 46.0 | - | - | 46.6 | - | - |
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| GPT-4o (Aria-UI) | 57.6 | - | - | 57.7 | - | - | 61.4 | - | - |
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| GPT-4V (OmniParser) | 42.4 | 87.6 | 39.4 | 41.0 | 84.8 | 36.5 | 45.5 | 85.7 | 42.0 |
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| **Agent Model** | | | | | | | | | |
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| GPT-4o | 5.7 | 77.2 | 4.3 | 5.7 | 79.0 | 3.9 | 5.5 | 86.4 | 4.5 |
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| GPT-4 (SOM) | 29.6 | - | 20.3 | 20.1 | - | 13.9 | 27.0 | - | 23.7 |
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| GPT-3.5 (Text-only) | 19.4 | 59.2 | 16.8 | 14.9 | 56.5 | 14.1 | 25.2 | 57.9 | 24.1 |
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| GPT-4 (Text-only) | 40.8 | 63.1 | 32.3 | 30.2 | 61.0 | 27.0 | 35.4 | 61.9 | 29.7 |
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| Claude | 62.7 | 84.7 | 53.5 | 59.5 | 79.6 | 47.7 | 64.5 | 85.4 | 56.4 |
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| Aguvis-7B | 64.2 | 89.8 | 60.4 | 60.7 | 88.1 | 54.6 | 60.4 | 89.2 | 56.6 |
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| CogAgent | - | - | 62.3 | - | - | 54.0 | - | - | 59.4 |
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| Aguvis-72B | 69.5 | 90.8 | 64.0 | 62.6 | 88.6 | 56.5 | 63.5 | 88.5 | 58.2 |
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| **Our Model** | | | | | | | | | |
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| **UI-TARS-2B** | 62.3 | 90.0 | 56.3 | 58.5 | 87.2 | 50.8 | 58.8 | 89.6 | 52.3 |
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| **UI-TARS-7B** | 73.1 | 92.2 | 67.1 | 68.2 | 90.9 | 61.7 | 66.6 | 90.9 | 60.5 |
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| **UI-TARS-72B** | **74.7** | **92.5** | **68.6** | **72.4** | **91.2** | **63.5** | **68.9** | **91.8** | **62.1** |
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- **Android Control and GUI Odyssey**
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| Agent Models | AndroidControl-Low Type | AndroidControl-Low Grounding | AndroidControl-Low SR | AndroidControl-High Type | AndroidControl-High Grounding | AndroidControl-High SR | GUIOdyssey Type | GUIOdyssey Grounding | GUIOdyssey SR |
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|---------------------|----------------------|----------------------|----------------|----------------------|----------------------|----------------|----------------|----------------|----------------|
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| Claude | 74.3 | 0.0 | 19.4 | 63.7 | 0.0 | 12.5 | 60.9 | 0.0 | 3.1 |
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| GPT-4o | 74.3 | 0.0 | 19.4 | 66.3 | 0.0 | 20.8 | 34.3 | 0.0 | 3.3 |
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| SeeClick | 93.0 | 73.4 | 75.0 | 82.9 | 62.9 | 59.1 | 71.0 | 52.4 | 53.9 |
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| InternVL-2-4B | 90.9 | 84.1 | 80.1 | 84.1 | 72.7 | 66.7 | 82.1 | 55.5 | 51.5 |
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| Qwen2-VL-7B | 91.9 | 86.5 | 82.6 | 83.8 | 77.7 | 69.7 | 83.5 | 65.9 | 60.2 |
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| Aria-UI | -- | 87.7 | 67.3 | -- | 43.2 | 10.2 | -- | 86.8 | 36.5 |
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| OS-Atlas-4B | 91.9 | 83.8 | 80.6 | 84.7 | 73.8 | 67.5 | 83.5 | 61.4 | 56.4 |
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| OS-Atlas-7B | 93.6 | 88.0 | 85.2 | 85.2 | 78.5 | 71.2 | 84.5 | 67.8 | 62.0 |
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| Aguvis-7B | -- | -- | 80.5 | -- | -- | 61.5 | -- | -- | -- |
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| Aguvis-72B | -- | -- | 84.4 | -- | -- | 66.4 | -- | -- | -- |
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| **UI-TARS-2B** | **98.1** | 87.3 | 89.3 | 81.2 | 78.4 | 68.9 | 93.9 | 86.8 | 83.4 |
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| **UI-TARS-7B** | 98.0 | 89.3 | 90.8 | 83.7 | 80.5 | 72.5 | 94.6 | 90.1 | 87.0 |
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| **UI-TARS-72B** | **98.1** | **89.9** | **91.3** | **85.2** | **81.5** | **74.7** | **95.4** | **91.4** | **88.6** |
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**Online Agent Capability Evaluation**
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| Method | OSWorld (Online) | AndroidWorld (Online) |
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|--------|-------------------|------------------|
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| **Agent Framework** | | |
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| GPT-4o (UGround) | - | 32.8 |
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| GPT-4o (Aria-UI) | 15.2 | 44.8 |
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| GPT-4o (Aguvis-7B) | 14.8 | 37.1 |
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| GPT-4o (Aguvis-72B) | 17.0 | - |
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| GPT-4o (OS-Atlas-7B) | 14.6 | - |
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| **Agent Model** | | |
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| GPT-4o | 5.0 | 34.5 (SoM) |
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| Gemini-Pro-1.5 | 5.4 | 22.8 (SoM) |
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| Aguvis-72B | 10.3 | 26.1 |
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| Claude Computer-Use | 14.9 (15 steps) | 27.9 |
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| Claude Computer-Use | 22.0 (50 steps) | - |
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| **Our Model** | | |
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| **UI-TARS-7B-SFT** | 17.7 (15 steps) | 33.0 |
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| **UI-TARS-7B-DPO** | 18.7 (15 steps) | - |
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| **UI-TARS-72B-SFT** | 18.8 (15 steps) | **46.6** |
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| **UI-TARS-72B-DPO** | **22.7** (15 steps) | - |
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| **UI-TARS-72B-DPO** | **24.6** (50 steps) | - |
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## Citation
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If you find our paper and model useful in your research, feel free to give us a cite.
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```BibTeX
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@article{uitars2025,
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author = {Yujia Qin, Yining Ye, Junjie Fang, Haoming Wang, Shihao Liang, Shizuo Tian, Junda Zhang, Jiahao Li, Yunxin Li, Shijue Huang, Wanjun Zhong, Kuanye Li, Jiale Yang, Yu Miao, Woyu Lin, Longxiang Liu, Xu Jiang, Qianli Ma, Jingyu Li, Xiaojun Xiao, Kai Cai, Chuang Li, Yaowei Zheng, Chaolin Jin, Chen Li, Xiao Zhou, Minchao Wang, Haoli Chen, Zhaojian Li, Haihua Yang, Haifeng Liu, Feng Lin, Tao Peng, Xin Liu, Guang Shi},
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title = {UI-TARS: Pioneering Automated GUI Interaction with Native Agents},
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journal = {arXiv preprint arXiv:2501.12326},
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url = {https://github.com/bytedance/UI-TARS},
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year = {2025}
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}
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```
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---
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license: apache-2.0
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language:
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- en
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pipeline_tag: image-text-to-text
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tags:
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- multimodal
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- gui
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library_name: transformers
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---
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# UI-TARS-2B-SFT
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[UI-TARS-2B-SFT](https://huggingface.co/bytedance-research/UI-TARS-2B-SFT) |
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[UI-TARS-2B-gguf](https://huggingface.co/bytedance-research/UI-TARS-2B-gguf) |
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[UI-TARS-7B-SFT](https://huggingface.co/bytedance-research/UI-TARS-7B-SFT) |
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[**UI-TARS-7B-DPO**](https://huggingface.co/bytedance-research/UI-TARS-7B-DPO)(Recommended) |
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[UI-TARS-7B-gguf](https://huggingface.co/bytedance-research/UI-TARS-7B-gguf) |
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[UI-TARS-72B-SFT](https://huggingface.co/bytedance-research/UI-TARS-72B-SFT) |
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[**UI-TARS-72B-DPO**](https://huggingface.co/bytedance-research/UI-TARS-72B-DPO)(Recommended)
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## Introduction
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UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules.
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<!--  -->
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<p align="center">
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<img src="https://github.com/bytedance/UI-TARS/blob/main/figures/UI-TARS-vs-Previous-SOTA.png?raw=true" width="90%"/>
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<p>
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<p align="center">
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<img src="https://github.com/bytedance/UI-TARS/blob/main/figures/UI-TARS.png?raw=true" width="90%"/>
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<p>
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<!--  -->
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This repository contains the model for the paper [UI-TARS: Pioneering Automated GUI Interaction with Native Agents](https://huggingface.co/papers/2501.12326).
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Code: https://github.com/bytedance/UI-TARS
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## Performance
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**Perception Capabilty Evaluation**
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| Model | VisualWebBench | WebSRC | SQAshort |
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| Qwen2-VL-7B | 73.3 | 81.8 | 84.9 |
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| Qwen-VL-Max | 74.1 | 91.1 | 78.6 |
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| Gemini-1.5-Pro | 75.4 | 88.9 | 82.2 |
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| UIX-Qwen2-7B | 75.9 | 82.9 | 78.8 |
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| Claude-3.5-Sonnet | 78.2 | 90.4 | 83.1 |
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| GPT-4o | 78.5 | 87.7 | 82.3 |
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| **UI-TARS-2B** | 72.9 | 89.2 | 86.4 |
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| **UI-TARS-7B** | 79.7 | **93.6** | 87.7 |
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| **UI-TARS-72B** | **82.8** | 89.3 | **88.6** |
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**Grounding Capability Evaluation**
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- **ScreenSpot Pro**
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| Agent Model | Dev-Text | Dev-Icon | Dev-Avg | Creative-Text | Creative-Icon | Creative-Avg | CAD-Text | CAD-Icon | CAD-Avg | Scientific-Text | Scientific-Icon | Scientific-Avg | Office-Text | Office-Icon | Office-Avg | OS-Text | OS-Icon | OS-Avg | Avg-Text | Avg-Icon | Avg |
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|--------------------------|----------|----------|----------|--------------|--------------|--------------|---------|---------|---------|---------------|---------------|---------------|------------|------------|------------|--------|--------|--------|---------|---------|------|
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| QwenVL-7B | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | **0.1** |
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| GPT-4o | 1.3 | 0.0 | 0.7 | 1.0 | 0.0 | 0.6 | 2.0 | 0.0 | 1.5 | 2.1 | 0.0 | 1.2 | 1.1 | 0.0 | 0.9 | 0.0 | 0.0 | 0.0 | 1.3 | 0.0 | **0.8** |
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| SeeClick | 0.6 | 0.0 | 0.3 | 1.0 | 0.0 | 0.6 | 2.5 | 0.0 | 1.9 | 3.5 | 0.0 | 2.0 | 1.1 | 0.0 | 0.9 | 2.8 | 0.0 | 1.5 | 1.8 | 0.0 | **1.1** |
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| Qwen2-VL-7B | 2.6 | 0.0 | 1.3 | 1.5 | 0.0 | 0.9 | 0.5 | 0.0 | 0.4 | 6.3 | 0.0 | 3.5 | 3.4 | 1.9 | 3.0 | 0.9 | 0.0 | 0.5 | 2.5 | 0.2 | **1.6** |
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| OS-Atlas-4B | 7.1 | 0.0 | 3.7 | 3.0 | 1.4 | 2.3 | 2.0 | 0.0 | 1.5 | 9.0 | 5.5 | 7.5 | 5.1 | 3.8 | 4.8 | 5.6 | 0.0 | 3.1 | 5.0 | 1.7 | **3.7** |
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| ShowUI-2B | 16.9 | 1.4 | 9.4 | 9.1 | 0.0 | 5.3 | 2.5 | 0.0 | 1.9 | 13.2 | 7.3 | 10.6 | 15.3 | 7.5 | 13.5 | 10.3 | 2.2 | 6.6 | 10.8 | 2.6 | **7.7** |
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| CogAgent-18B | 14.9 | 0.7 | 8.0 | 9.6 | 0.0 | 5.6 | 7.1 | 3.1 | 6.1 | 22.2 | 1.8 | 13.4 | 13.0 | 0.0 | 10.0 | 5.6 | 0.0 | 3.1 | 12.0 | 0.8 | **7.7** |
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| Aria-UI | 16.2 | 0.0 | 8.4 | 23.7 | 2.1 | 14.7 | 7.6 | 1.6 | 6.1 | 27.1 | 6.4 | 18.1 | 20.3 | 1.9 | 16.1 | 4.7 | 0.0 | 2.6 | 17.1 | 2.0 | **11.3** |
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| UGround-7B | 26.6 | 2.1 | 14.7 | 27.3 | 2.8 | 17.0 | 14.2 | 1.6 | 11.1 | 31.9 | 2.7 | 19.3 | 31.6 | 11.3 | 27.0 | 17.8 | 0.0 | 9.7 | 25.0 | 2.8 | **16.5** |
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| Claude Computer Use | 22.0 | 3.9 | 12.6 | 25.9 | 3.4 | 16.8 | 14.5 | 3.7 | 11.9 | 33.9 | 15.8 | 25.8 | 30.1 | 16.3 | 26.9 | 11.0 | 4.5 | 8.1 | 23.4 | 7.1 | **17.1** |
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| OS-Atlas-7B | 33.1 | 1.4 | 17.7 | 28.8 | 2.8 | 17.9 | 12.2 | 4.7 | 10.3 | 37.5 | 7.3 | 24.4 | 33.9 | 5.7 | 27.4 | 27.1 | 4.5 | 16.8 | 28.1 | 4.0 | **18.9** |
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| UGround-V1-7B | - | - | 35.5 | - | - | 27.8 | - | - | 13.5 | - | - | 38.8 | - | - | 48.8 | - | - | 26.1 | - | - | **31.1** |
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| **UI-TARS-2B** | 47.4 | 4.1 | 26.4 | 42.9 | 6.3 | 27.6 | 17.8 | 4.7 | 14.6 | 56.9 | 17.3 | 39.8 | 50.3 | 17.0 | 42.6 | 21.5 | 5.6 | 14.3 | 39.6 | 8.4 | **27.7** |
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| **UI-TARS-7B** | 58.4 | 12.4 | 36.1 | 50.0 | 9.1 | 32.8 | **20.8**| 9.4 | **18.0**| 63.9 | **31.8** | **50.0** | **63.3** | 20.8 | 53.5 | 30.8 | **16.9**| 24.5 | 47.8 | 16.2 | **35.7** |
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| **UI-TARS-72B** | **63.0** | **17.3** | **40.8** | **57.1** | **15.4** | **39.6** | 18.8 | **12.5**| 17.2 | **64.6** | 20.9 | 45.7 | **63.3** | **26.4** | **54.8** | **42.1**| 15.7 | **30.1**| **50.9**| **17.5**| **38.1** |
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- **ScreenSpot v2**
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| Method | Mobile-Text | Mobile-Icon/Widget | Desktop-Text | Desktop-Icon/Widget | Web-Text | Web-Icon/Widget | Avg |
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| 76 |
+
|--------|-------------|-------------|-------------|-------------|-------------|---------|---------|
|
| 77 |
+
| **Agent Framework** | | | | | | | |
|
| 78 |
+
| GPT-4o (SeeClick) | 85.2 | 58.8 | 79.9 | 37.1 | 72.7 | 30.1 | **63.6** |
|
| 79 |
+
| GPT-4o (OS-Atlas-4B) | 95.5 | 75.8 | 79.4 | 49.3 | 90.2 | 66.5 | **79.1** |
|
| 80 |
+
| GPT-4o (OS-Atlas-7B) | 96.2 | 83.4 | 89.7 | 69.3 | **94.0** | 79.8 | **87.1** |
|
| 81 |
+
| **Agent Model** | | | | | | | |
|
| 82 |
+
| SeeClick | 78.4 | 50.7 | 70.1 | 29.3 | 55.2 | 32.5 | **55.1** |
|
| 83 |
+
| OS-Atlas-4B | 87.2 | 59.7 | 72.7 | 46.4 | 85.9 | 63.1 | **71.9** |
|
| 84 |
+
| OS-Atlas-7B | 95.2 | 75.8 | 90.7 | 63.6 | 90.6 | 77.3 | **84.1** |
|
| 85 |
+
| **Our Model** | | | | | | | |
|
| 86 |
+
| **UI-TARS-2B** | 95.2 | 79.1 | 90.7 | 68.6 | 87.2 | 78.3 | **84.7** |
|
| 87 |
+
| **UI-TARS-7B** | **96.9** | **89.1** | **95.4** | 85.0 | 93.6 | 85.2 | **91.6** |
|
| 88 |
+
| **UI-TARS-72B** | 94.8 | 86.3 | 91.2 | **87.9** | 91.5 | **87.7** | **90.3** |
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
**Online Agent Capability Evaluation**
|
| 92 |
+
|
| 93 |
+
| Method | OSWorld (Online) | AndroidWorld (Online) |
|
| 94 |
+
|--------|-------------------|------------------|
|
| 95 |
+
| **Agent Framework** | | |
|
| 96 |
+
| GPT-4o (UGround) | - | 32.8 |
|
| 97 |
+
| GPT-4o (Aria-UI) | 15.2 | 44.8 |
|
| 98 |
+
| GPT-4o (Aguvis-7B) | 14.8 | 37.1 |
|
| 99 |
+
| GPT-4o (Aguvis-72B) | 17.0 | - |
|
| 100 |
+
| GPT-4o (OS-Atlas-7B) | 14.6 | - |
|
| 101 |
+
| **Agent Model** | | |
|
| 102 |
+
| GPT-4o | 5.0 | 34.5 (SoM) |
|
| 103 |
+
| Gemini-Pro-1.5 | 5.4 | 22.8 (SoM) |
|
| 104 |
+
| Aguvis-72B | 10.3 | 26.1 |
|
| 105 |
+
| Claude Computer-Use | 14.9 (15 steps) | 27.9 |
|
| 106 |
+
| Claude Computer-Use | 22.0 (50 steps) | - |
|
| 107 |
+
| **Our Model** | | |
|
| 108 |
+
| **UI-TARS-7B-SFT** | 17.7 (15 steps) | 33.0 |
|
| 109 |
+
| **UI-TARS-7B-DPO** | 18.7 (15 steps) | - |
|
| 110 |
+
| **UI-TARS-72B-SFT** | 18.8 (15 steps) | **46.6** |
|
| 111 |
+
| **UI-TARS-72B-DPO** | **22.7** (15 steps) | - |
|
| 112 |
+
| **UI-TARS-72B-DPO** | **24.6** (50 steps) | - |
|
| 113 |
+
|
| 114 |
+
|
| 115 |
+
## How to use
|
| 116 |
+
The usage will be the same as LLaVA with a few additional tokens.
|
| 117 |
+
Please refer to https://github.com/haotian-liu/LLaVA
|
| 118 |
+
|
| 119 |
+
## License
|
| 120 |
+
UI-TARS is licensed under the Apache License 2.0.
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