Ali

Qwen3.5-Omni-Flash

ali/qwen3.5-omni-flash
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.5-Omni是Qwen最新一代全模态大模型,支持文本,图片,音频,音视频理解与交互。作为 Qwen3-Omni 的全面进化版本, 支持超过 10 小时的音频理解及超过 400 秒的 720P(1 FPS)音视频理解与对话,并进一步拓展语言范围,支持60+种语言音频输入,30+语言语音输出,并且具备强大的结构化音视频理解能力,广泛应用于文本创作、语音助手、多媒体分析等场景,提供自然流畅的多模态理解与交互体验。

Input / output modalities
Not provided to Not provided
Reference input / output price
Input¥2.2Output¥13.3per 1M tokens
Context window
256K
Added to catalog
Aug 26, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Ali¥2.2¥13.3¥0256K64K

Ali

Latency
0s
Throughput
0 tokens/s
Context
256K

Pricing

Input
¥2.2/M tokens
Output
¥13.3/M tokens
Cached
¥0/M tokens

Additional pricing

Input audio price
¥18
Output audio price
¥72
Input image price
¥2.2
Input video price
¥2.2

Specifications

Context
256K
Max output
64K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.5-Omni-Flash code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="ali/qwen3.5-omni-flash", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

No public applications are currently listed for this model.

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