/v1/audio/speechText to speech| Rate | USD per unit |
|---|---|
| InputText | $0.000015 USD per character (Han/Chinese character counts as 2) |
qwen-audio-3.0-tts-flashQwen Audio 3.0 TTS Flash text-to-speech. Billed per input character; each Chinese (Han) character counts as 2.
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Base rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.
/v1/audio/speechText to speech| Rate | USD per unit |
|---|---|
| InputText | $0.000015 USD per character (Han/Chinese character counts as 2) |
Actual settled usage is deducted from your Apertis credit quota.
Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="qwen-audio-3.0-tts-flash", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="qwen-audio-3.0-tts-flash",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelinputvoiceresponse_formatspeedinstructionsstream_formatUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
See how this model compares to others from the same provider.
Qwen Audio 3.0 TTS Plus text-to-speech. Billed per input character; each Chinese (Han) character counts as 2.
Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.
Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.