Ali

Qwen3-235B-A22B-Instruct-2507

ali/qwen3-235b-a22b-instruct-2507
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3-235B-A22B-Instruct-2507是Qwen3-235B-A22B-FP8的增强版本,在指令遵循、逻辑推理、文本理解、数学与编程能力、多语言知识覆盖等方面表现显著提升,并在256K长上下文处理和主观任务对齐度上进一步优化,生成内容更高质量、更贴近用户意图。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥2Output¥8per 1M tokens
Context window
131.1K
Added to catalog
Jul 23, 2025

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Ali¥2¥8¥0.8131.1K32.8K

Ali

Latency
0.44s
Throughput
70 tokens/s
Context
131.1K

Pricing

Input
¥2/M tokens
Output
¥8/M tokens
Cached
¥0.8/M tokens

Specifications

Context
131.1K
Max output
32.8K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3-235B-A22B-Instruct-2507 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/qwen3-235b-a22b-instruct-2507", 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}")
                
              

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