bytedance/ui-tars-1.5-7b
128,000 context · $0.10/M input tokens · $0.20/M output tokens
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...
Pay-per-use
No upfront costs, pay only for what you use
Use the following code examples to integrate with our API:
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)bytedance ui-tars-1.5-7b
| 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 |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.2 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: bytedance/ui-tars-1.5-7b
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 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!"}]
}'bytedance/ui-tars-1.5-7b
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...
Input
$0.1 /M
Output
$0.2 /M
Context
128K
Max Output
2K
Vision
Supported
Access Ui Tars 1.5 7b through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $0.10 per million input tokens and $0.20 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
Ui Tars 1.5 7b supports up to 128K tokens of context with up to 2K tokens of output per request.
Yes. WaveSpeedAI exposes Ui Tars 1.5 7b through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Ui Tars 1.5 7b before paying per token.