UI Tars 1.5 7b | ByteDance LLM API

Name: Ui Tars 1.5 7b API
Brand: bytedance
Price: 0.1 USD
Availability: InStock

API 使用

使用以下代码示例接入我们的 API：

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="bytedance/ui-tars-1.5-7b",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

模型介绍

Bytedance ui-tars-1.5-7b

bytedance ui-tars-1.5-7b

Why It Looks Great

Large Language Model architecture for efficient processing
128000 context window for long document handling
Competitive pricing at $0.1/$0.2 per million tokens

Key Features

Context Window: 128000 tokens
Max Output: 2048 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Bytedance
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	128000 tokens
Max Output	2048 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.1
Output	$0.2

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: bytedance/ui-tars-1.5-7b

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

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

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "bytedance/ui-tars-1.5-7b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: bytedance/ui-tars-1.5-7b
Provider: Bytedance

关于 Ui Tars 1.5 7b 的常见问题

Ui Tars 1.5 7b API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $0.10,输出每百万 token $0.20。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Ui Tars 1.5 7b 的上下文窗口是多大?+

Ui Tars 1.5 7b 单次请求最多支持 128K 上下文 token,输出最多 2K token。

Ui Tars 1.5 7b 是否兼容 OpenAI?+

WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Ui Tars 1.5 7b。大多数 OpenAI SDK 客户端只需更换 base URL 和 API Key；可选字段取决于具体模型。

如何开始使用 Ui Tars 1.5 7b?+

登录 WaveSpeedAI，在 Access Keys 中创建 API Key，然后使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。模型可用性、能力和价格请以当前模型目录为准。

定价

试用模型