UI-TARS 7B
About this model
UI-TARS 7B is an AI model from ByteDance Seed, made available through the API on July 22, 2025. It can read up to 128,000 tokens in one request, roughly 240 pages of text, and write up to 2,048 tokens in a single answer. Besides text, it accepts images as input.
Through the API it costs $0.10 per million input tokens and $0.20 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
Its weights are openly published (ByteDance-Seed/UI-TARS-1.5-7B), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call UI-TARS 7B through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "bytedance/ui-tars-1.5-7b", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="bytedance/ui-tars-1.5-7b",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "bytedance/ui-tars-1.5-7b",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.11
- Summarise a 100-page document$0.0052
- An app with 10,000 requests a day for a month$54.00
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
GPT-6 Luna ProOpenAI | $0.10 | $0.50 | 1.1M | Compare with ⇄ |
| $0.10 | $0.20 | 1M | Compare with ⇄ | |
Reka EdgeReka | $0.10 | $0.10 | 16K | Compare with ⇄ |
Qwen3.5-9BAlibaba Qwen | $0.10 | $0.15 | 256K | Compare with ⇄ |
Step 3.5 FlashStepFun | $0.10 | $0.30 | 256K | Compare with ⇄ |
Ministral 3 3B 2512Mistral AI | $0.10 | $0.10 | 128K | Compare with ⇄ |
Frequently asked questions
- How much does UI-TARS 7B cost?
- UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.11.
- What is the context window of UI-TARS 7B ?
- UI-TARS 7B can read up to 128,000 tokens in one request, about 240 pages of text. It can write up to 2,048 tokens in a single answer.
- Is UI-TARS 7B open source?
- Yes. Its weights are published (ByteDance-Seed/UI-TARS-1.5-7B), so you can download it and run it on your own hardware, or use it through one of 1 API providers.
- Who makes UI-TARS 7B ?
- UI-TARS 7B is made by ByteDance Seed. It became available through the API on July 22, 2025.
- Can UI-TARS 7B read images?
- Yes. Besides text, it accepts images as input.
- What are the alternatives to UI-TARS 7B ?
- Models with a similar price from other companies include GPT-6 Luna Pro, Muse Spark 1.3 Contributor and Reka Edge. You can compare them side by side on this page.