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qwen3-omni-flash-2025-12-01 API pricing & access

qwen3-omni-flash-2025-12-01 API pricing: $0.257142 per 1M tokens. Qwen3 Omni Flash 2025-12-01 API for audio questions and multimodal analysis.

qwen3-omni-flash-2025-12-01 API access

Qwen3 Omni Flash 2025-12-01 API for audio questions and multimodal analysis.

Compare supported API endpoints and capabilities, then access qwen3-omni-flash-2025-12-01 through the unified API gateway.

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

qwen3-omni-flash-2025-12-01 API pricing

Base input price
$0.257142 per 1M tokens
Base output price
$1.8142911 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About qwen3-omni-flash-2025-12-01

This dated Qwen3-Omni-Flash model accepts text, audio, image, and video input through the official Chat Completions API. The catalog lists thinking and function calling, with no web search.

Evaluate audio questions and cross-media analysis. Realtime variants use different model IDs and interfaces; verify media and output formats for the endpoint selected here.

Official model catalog, checked 2026-10-11.

API pricing and model selection

Review the prices and endpoints on this page. Check your account discounts, quota and actual usage after signing in, then evaluate the selected endpoint on a small sample.

Compare models in this category ยท API integration documentation.

Official snapshot introduction.

Use cases and prompting

Validate media and response formats first

Start with a short audio clip or a few images. Specify transcription, summarization, or question answering, and the target language. Ask the model to mark unclear content.

Test silence, background noise, and invalid formats. If your application needs speech output, verify endpoint fields and audio encoding first. Use verified text results until audio or realtime behavior has been tested.

A task to evaluate

Summarize the audio topic and action items with timestamps. Mark unclear segments as unknown rather than inferring speech from background noise.

Compare the output with your acceptance criteria. Record the model, endpoint, input size, elapsed time and actual usage; change one condition at a time.

How to call qwen3-omni-flash-2025-12-01

qwen3-omni-flash-2025-12-01 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-omni-flash-2025-12-01", "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-omni-flash-2025-12-01",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about qwen3-omni-flash-2025-12-01

What is qwen3-omni-flash-2025-12-01?

Qwen3 Omni Flash 2025-12-01 API for audio questions and multimodal analysis.

How do I call qwen3-omni-flash-2025-12-01?

Create an API key with access to qwen3-omni-flash-2025-12-01, 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-omni-flash-2025-12-01 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-omni-flash-2025-12-01 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