UI-TARS 7B
ByteDanceReleased Jul 22, 2025
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...
- Context window
- 128K tokens
- Max output
- 2K tokens
- Input
- image, text
- Output
- text
- Tokenizer
- Other
- Knowledge cutoff
- Jan 31, 2025
- Released
- Jul 22, 2025
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.100 | $0.0030 | $0.103 |
| Output | $0.200 | $0.0060 | $0.206 |
| Cache read | $0.100 | $0.0030 | $0.103 |
Supported parameters
- frequency_penalty
- logit_bias
- logprobs
- max_tokens
- presence_penalty
- repetition_penalty
- seed
- stop
- structured_outputs
- temperature
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model bytedance/ui-tars-1.5-7b.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "bytedance/ui-tars-1.5-7b",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="bytedance/ui-tars-1.5-7b",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "bytedance/ui-tars-1.5-7b",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does UI-TARS 7B cost via API?
- Through OpenKey, UI-TARS 7B costs $0.103 per 1M input tokens and $0.206 per 1M output tokens. That is the provider price ($0.100 / $0.200) plus a flat 3% fee — nothing else.
- What is UI-TARS 7B 's context window?
- UI-TARS 7B accepts up to 128K tokens of context and returns up to 2K tokens per request.
- Is UI-TARS 7B OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "bytedance/ui-tars-1.5-7b" using any OpenAI SDK — only the base URL and API key change.
- What inputs does UI-TARS 7B support?
- UI-TARS 7B accepts image, text input and produces text output. Its knowledge cutoff is Jan 31, 2025.