UI-TARS 7B

About UI-TARS 7B

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.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

ByteDance Model Lineup

Compare all models from ByteDance to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Flash 3

Rekaai

Input: $0.10

Output: $0.20

Context: 66k

Olmo 3 7B Instruct

Allen AI

Input: $0.10

Output: $0.20

Context: 66k

Mistral 7B Instruct v0.1

Mistral

Input: $0.11

Output: $0.19

Context: 3k

Ministral 3 8B 2512

Mistral

Input: $0.15

Output: $0.15

Context: 262k

💡 Cheaper Alternatives

Cross Brand

🚀 Quick Start

Get started with UI-TARS 7B API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="bytedance/ui-tars-1.5-7b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision