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qwen3-tts-instruct-flash-realtime API pricing & access

qwen3-tts-instruct-flash-realtime API pricing: $75 per 1M tokens. Alibaba Qwen3 real-time text-to-speech model with instruction control.

qwen3-tts-instruct-flash-realtime API access

Alibaba Qwen3 real-time text-to-speech model with instruction control.

Compare supported API endpoints and capabilities, then access qwen3-tts-instruct-flash-realtime through the unified API gateway.

Category
audio
Supported APIs
OpenAI Chat Completions API
API endpoints
POST /v1/chat/completions

qwen3-tts-instruct-flash-realtime API pricing

Base input price
$75 per 1M tokens
Base output price
$75 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About qwen3-tts-instruct-flash-realtime

Qwen3 TTS Instruct Flash Realtime synthesizes speech from text and accepts instructions for delivery. Evaluate announcements, character narration and the speaking component of an assistant; Realtime does not make it an ASR or complete speech-conversation model.

Use fixed cases for the tasks described above. Integration follows the listed endpoint, selected route parameters and current group pricing; official capabilities do not establish acceptance for every channel. Compare qwen-audio-3.0-realtime-flash.

Official reference 1, checked 2026-10-14.

Use cases and prompting

  1. First confirm that the selected channel provides this model’s realtime speech-synthesis interface, then submit text and a supported voice through that interface; a generic chat endpoint is not proof of TTS support.
  2. Verify encoding, sample rate and playback on short text; preserve punctuation when splitting content.
  3. Put delivery guidance in a supported instructions field and test rate, emotion and proper names separately.
  4. Check termination, complete audio and usage; speech recognition and conversation require separate workflows.

API documentation.

How to call qwen3-tts-instruct-flash-realtime

qwen3-tts-instruct-flash-realtime is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-tts-instruct-flash-realtime", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="qwen3-tts-instruct-flash-realtime",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about qwen3-tts-instruct-flash-realtime

What is qwen3-tts-instruct-flash-realtime?

Alibaba Qwen3 real-time text-to-speech model with instruction control.

How do I call qwen3-tts-instruct-flash-realtime?

Create an API key with access to qwen3-tts-instruct-flash-realtime, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is qwen3-tts-instruct-flash-realtime priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

How should I evaluate qwen3-tts-instruct-flash-realtime for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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