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Qwen3-Omni-30b-a3b-Captioner

Will be retired on October 10, 2026View announcement
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Overview

Qwen3-Omni-30b-a3b-Captioner is a powerful fine-grained audio analysis model designed to generate accurate and comprehensive content descriptions in complex and changing audio scenarios. It can automatically parse and describe various audio content, from complex speech and ambient sounds to music and film and television sound effects, and can maintain stable and reliable output even in multi-source and mixed environments.

Input

Audio

Output

Text

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Input: Audio
    $3.81Per 1M tokens
  • Output: Text (When input contains images/audio/video)
    $3.06Per 1M tokens

Rate Limits & Context

  • Max Input
    30K
  • Max Output
    32K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    60