Ali

Qwen3-Coder-480B-A35B-Instruct

ali/qwen3-coder-480b-a35b-instruct
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

基于Qwen3的代码生成模型,具有强大的Coding Agent能力,代码能力达到开源模型 SOTA。

Input / output modalities
文本 to 文本
Reference input / output price
Input¥6Output¥24per 1M tokens
Context window
128K
Added to catalog
Aug 26, 2025

Providers and pricing

ProviderInput lengthInput /MOutput /MCached /MContextMax outputDetails
baidu≤ 32K¥6¥24¥0128K65.5K
≥ 32K¥9¥36¥0

baidu

Latency
2.22s
Throughput
69 tokens/s
Context
128K

Pricing

Input
¥6/M tokens
Output
¥24/M tokens
Cached
¥0/M tokens

Tiered pricing

Pricing varies by input token range.

0–32K Token

Input tier
¥6/M tokens
Output tier
¥24/M tokens

32K–∞ Token

Input tier
¥9/M tokens
Output tier
¥36/M tokens

Specifications

Context
128K
Max output
65.5K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3-Coder-480B-A35B-Instruct 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-coder-480b-a35b-instruct", 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