/v1/audio/transcriptionsSpeech to text| Rate | USD per unit |
|---|---|
| InputAudio | $0.00000333 USD per audio second |
QwenVoice
Qwen3 ASR 0.6B
qwen3-asr-0.6bQwen3-ASR 0.6B speech-to-text. Billed per second of audio.
- Context
- N/A
- Endpoint
Service Status
Status information temporarily unavailable
Apertis cannot confirm the current service state. This is not a report that the model is down.
Pricing
Input$0 / 1M
Output$0 / 1M
Cache Write (5m)Not applicable
Cache Write (1h)Not applicable
Cache ReadNot applicable
Web Search$0 / 1M
Customer audio pricing
USDBase rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.
Actual settled usage is deducted from your Apertis credit quota.
Quick Start
Select an endpoint and copy a working example for this model.
Endpoint
python
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="qwen3-asr-0.6b", 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="qwen3-asr-0.6b",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsCommon5 params
modelfilelanguagepromptresponse_formatExtended2 params
temperaturetimestamp_granularitiesCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.