tbuy

qwen3.5-omni-flash-realtime API pricing & access

qwen3.5-omni-flash-realtime API pricing: Dynamic usage-based pricing. Alibaba Qwen Omni Flash real-time omni-modal model for low-latency voice conversation.

qwen3.5-omni-flash-realtime API access

Alibaba Qwen Omni Flash real-time omni-modal model for low-latency voice conversation.

Compare supported API endpoints and capabilities, then access qwen3.5-omni-flash-realtime through the unified API gateway.

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

qwen3.5-omni-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-omni-flash-realtime

Qwen3.5 Omni Flash Realtime handles text, sound and visual input within an ongoing real-time session. Evaluate spoken assistants, visual explanations and interactive questions, using a client designed for realtime events rather than HTTP file responses.

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-omni-plus-realtime.

Official reference 1, checked 2026-10-14.

Use cases and prompting

  1. Confirm the listed realtime protocol, authentication and model mapping before configuring the session.
  2. Test a short audio turn, encoding and event flow, and verify playable output beyond a successful handshake.
  3. Test interruption, silence, disconnect recovery and termination without replaying completed turns.
  4. Validate tools or search separately; record end-to-end latency, errors and actual usage on this route.

API documentation.

How to call qwen3.5-omni-flash-realtime

qwen3.5-omni-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-omni-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-omni-flash-realtime",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about qwen3.5-omni-flash-realtime

What is qwen3.5-omni-flash-realtime?

Alibaba Qwen Omni Flash real-time omni-modal model for low-latency voice conversation.

How do I call qwen3.5-omni-flash-realtime?

Create an API key with access to qwen3.5-omni-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-omni-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-omni-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.

Back to AI model API pricing