UI-TARS-1.5

About

What UI-TARS-1.5 is

UI-TARS-1.5 Model We shared the latest progress of the UI-TARS-1.5 model in our blog, which excels in playing games and performing GUI tasks. Introduction UI-TARS-1.5, an open-source multimodal agent built upon a powerful vision-language model. It is capable of effectively performing diverse tasks within virtual worlds. Leveraging the foundational architecture introduced in our recent paper, UI-TARS-1.5 integrates advanced reasoning enabled by reinforcement learning. This allows the model to reason through its thoughts before taking action, significantly enhancing its performance and adaptability, particularly in inference-time scaling. Our new 1.5 version achieves state-of-the-art results across a variety of standard benchmarks, demonstrating strong reasoning capabilities and notable improvements over prior models. Code: https://github.com/bytedance/UI-TARS Application: https://github.com/bytedance/UI-TARS-desktop Performance Online Benchmark Evaluation Grounding Capability Evaluation Poki Game Minecraft Model Scale Comparison This table compares performance across different model scales of UI-TARS on the OSworld benchmark. The released UI-TARS-1.5-7B focuses primarily on enhancing general computer use capabilities and is not specifically optimized for game-based scenarios, where the UI-TARS-1.5 still holds a significant advantage. What's next We are providing early research access to our top-performing UI-TARS-1.5 model to facilitate collaborative research. Interested researchers can contact us at TARS@bytedance.com. Citation If you find our paper and model useful in your research, feel free to give us a cite.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How language models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys ui-tars-1-5 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ui-tars-1-5 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ui-tars-1-5","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Papers

Licence

Open weights

Sources

Weights & code

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