Qwen3 1.7B TTS API
surplus/tts-qwen3-1-7b
Call Qwen3 1.7B TTS through UberLLM’s OpenAI-compatible API — from $0.0000/M input and $0.0000/M output, routed automatically to the cheapest healthy provider. Alibaba · 8,192 token context. No inference markup.
Qwen3 1.7B TTS pricing & providers
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| Surplus Intelligencebest | $0.0000 | $0.0000 |
How to use Qwen3 1.7B TTS with the OpenAI SDK
Already using OpenAI or OpenRouter? Change one line — the base URL — and call Qwen3 1.7B TTS with your existing code. Anthropic SDKs work against https://api.uberllm.dev/v1/messages.
from openai import OpenAI
client = OpenAI(
base_url="https://api.uberllm.dev/v1",
api_key="ull_your_key_here",
)
resp = client.chat.completions.create(
model="surplus/tts-qwen3-1-7b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)Qwen3 1.7B TTS API — FAQ
How much does the Qwen3 1.7B TTS API cost?
Qwen3 1.7B TTS costs from $0.0000 per million input tokens and $0.0000 per million output tokens through UberLLM, which routes to the cheapest healthy provider. There is no inference markup.
How do I call Qwen3 1.7B TTS via API?
Use any OpenAI-compatible SDK: set the base URL to https://api.uberllm.dev/v1, your UberLLM API key, and model "surplus/tts-qwen3-1-7b". Anthropic SDKs work via https://api.uberllm.dev/v1/messages.
Is Qwen3 1.7B TTS OpenAI-compatible on UberLLM?
Yes. Every model on UberLLM — including Qwen3 1.7B TTS — is served through one OpenAI-compatible endpoint, so you change only the base URL and key.