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qwen3-livetranslate-flash API pricing & access
qwen3-livetranslate-flash API pricing: Dynamic usage-based pricing. Alibaba Qwen3 LiveTranslate Flash for live speech translation
qwen3-livetranslate-flash API access
Alibaba Qwen3 LiveTranslate Flash for live speech translation
Compare supported API endpoints and capabilities, then access qwen3-livetranslate-flash through the unified API gateway.
- Category
- audio
- Supported APIs
- OpenAI Chat Completions API
- API endpoints
- POST /v1/chat/completions
qwen3-livetranslate-flash API pricing
- Billing model
- Dynamic usage-based pricing
The final API price depends on the matched usage tier, request parameters and access group. Open the live pricing page for the current calculation.
About qwen3-livetranslate-flash
Qwen3 Livetranslate Flash translates audio and video files with visual context. It is documented as a file-mode Chat Completions model; some target languages provide text only, so spoken translations must be checked per language.
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 qwen3.5-livetranslate-flash-realtime.
Official reference 1, checked 2026-10-14.
Use cases and prompting
- Use the route’s supported file-translation interface with accessible media and an explicit language direction.
- Check whether the target language returns text, speech or both, rather than expecting normal chat behavior.
- Review short sentences, terminology and background-noise samples against the source meaning and subtitles.
- Save complete outputs and usage; evaluate a separate realtime translation model for simultaneous interpretation.
How to call qwen3-livetranslate-flash
qwen3-livetranslate-flash 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-livetranslate-flash", "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-livetranslate-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Related pages
Frequently asked questions about qwen3-livetranslate-flash
What is qwen3-livetranslate-flash?
Alibaba Qwen3 LiveTranslate Flash for live speech translation
How do I call qwen3-livetranslate-flash?
Create an API key with access to qwen3-livetranslate-flash, 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-livetranslate-flash 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-livetranslate-flash 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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