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
Nessun costo iniziale, paga solo per ciò che usi
Usa i seguenti esempi di codice per integrare la nostra 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
Contesto
128K
Output max
2K
Vision
Supportato
Accedi a Ui Tars 1.5 7b tramite la nostra API unificata — compatibile con OpenAI, senza cold start, prezzi trasparenti.
Prezzi su WaveSpeedAI: $0.10 per milione di token in input e $0.20 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.
Ui Tars 1.5 7b supporta fino a 128K token di contesto e fino a 2K token di output per richiesta.
Sì. WaveSpeedAI espone Ui Tars 1.5 7b tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.
Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Ui Tars 1.5 7b.