Model Marketplace

Qwen3.5-Omni-Plus

Copy success!
Add to Compare

Overview

Qwen 3.5-Omni is the latest generation of Qwen's multimodal large model, supporting text, image, audio, and audio-visual understanding and interaction. As a comprehensive evolution of Qwen 3-Omni, it supports over 10 hours of audio understanding and over 400 seconds of 720P (1 FPS) audio-visual understanding and dialogue. It further expands the language range, supporting audio input in 60+ languages and speech output in 30+ languages. It also possesses powerful structured audio-visual understanding capabilities and is widely used in text creation, voice assistants, multimedia analysis, and other scenarios, providing a natural and fluent multimodal understanding and interactive experience.

Input

TextImageVideoAudio

Output

TextAudio

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
    $11Per 1M tokens
  • Output: Text&Audio (Output text is not charged)
    $44Per 1M tokens
  • input：Text/Image/Video
    $1.4Per 1M tokens
  • Output: Text
    $8.3Per 1M tokens

Rate Limits & Context

  • Max Input
    196K
  • Max Output
    65K
  • Context
    262K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    60

Built-in Tools

search_strategy:agentCompletions API

API Reference

Call API
Copy success!
12345678910111213141516171819202122232425
import os
from openai import OpenAI

client = OpenAI(
    # The API keys for the Singapore and Beijing regions are different. To obtain an API key, see: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3.5-omni-plus",
    messages=[{"role": "user", "content": "Who are you"}],
    # Set the modality for the output data. The following modalities are supported: ["text","audio"]、["text"]
    modalities=["text", "audio"],
    audio={"voice": "Ethan", "format": "wav"},
    # The stream parameter must be set to True. Otherwise, an error is reported
    stream=True,
    stream_options={"include_usage": True},
)

for chunk in completion:
    if chunk.choices:
        print(chunk.choices[0].delta)
    else:
        print(chunk.usage)