Ali

Qwen3.5-9B

ali/qwen3.5-9b
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.5-9B 是 Qwen3.5 系列中的多模态基础模型,旨在以高效的 9B 参数架构提供强大的推理、编码和视觉理解能力。它采用统一的视觉语言设计,并早期融合多模态标记,使模型能够在同一上下文中处理和推理文本和图像。

Input / output modalities
Not provided to Not provided
Reference input / output price
Input¥0.56Output¥0.91per 1M tokens
Context window
400K
Added to catalog
Sep 10, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
OpenRouter¥0.56¥0.91¥0400K128K

OpenRouter

Latency
0.8s
Throughput
134 tokens/s
Context
400K

Pricing

Input
¥0.56/M tokens
Output
¥0.91/M tokens
Cached
¥0/M tokens

Specifications

Context
400K
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.5-9B 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/qwen3.5-9b", 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}")
                
              

Related Models