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qwen3.5-livetranslate-flash-realtime API pricing & access
qwen3.5-livetranslate-flash-realtime API pricing: Dynamic usage-based pricing. Alibaba Qwen 3.5 LiveTranslate Flash Realtime for live speech translation
qwen3.5-livetranslate-flash-realtime API access
Alibaba Qwen 3.5 LiveTranslate Flash Realtime for live speech translation
Compare supported API endpoints and capabilities, then access qwen3.5-livetranslate-flash-realtime through the unified API gateway.
- Category
- audio
- Supported APIs
- OpenAI Chat Completions API
- API endpoints
- POST /v1/chat/completions
qwen3.5-livetranslate-flash-realtime 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 qwen3.5-livetranslate-flash-realtime
Qwen3.5 Livetranslate Flash Realtime targets live speech translation with audio and image input. Evaluate simultaneous interpretation and visually grounded translation, checking whether the target language supports text, speech or both.
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-livetranslate-flash.
Official reference 1, checked 2026-10-14.
Use cases and prompting
- Confirm realtime translation protocol and session fields, then choose languages and output form explicitly.
- Submit a short speech segment and validate audio encoding, event ordering and text or speech output.
- Test terminology, pauses and speaker changes; keep text output where speech translation is unsupported.
- Measure speech-to-usable-translation latency, recovery and usage; test image context separately by route.
How to call qwen3.5-livetranslate-flash-realtime
qwen3.5-livetranslate-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": "qwen3.5-livetranslate-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="qwen3.5-livetranslate-flash-realtime",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Related pages
Frequently asked questions about qwen3.5-livetranslate-flash-realtime
What is qwen3.5-livetranslate-flash-realtime?
Alibaba Qwen 3.5 LiveTranslate Flash Realtime for live speech translation
How do I call qwen3.5-livetranslate-flash-realtime?
Create an API key with access to qwen3.5-livetranslate-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 qwen3.5-livetranslate-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 qwen3.5-livetranslate-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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