Ali

Qwen3.8-Max-0902(快照版)

ali/qwen3.8-max-0902
/v1/chat/completions/v1/messages/v1/responses/v1/completions/v1beta/models/*/v1/models/*

Qwen3.8-Max-0902(别名qwen3.8-max-2026-09-02)是qwen3.8-max的快照版本。编码深度再突破,可驾驭更复杂的工程级项目与长程自主开发;协作智能体能力显著增强,在多工具调度与端到端交付中表现更从容;视觉理解全面精进,图表推理、文档解析与多模态感知更敏锐准确。延续 100 万上下文、思考模式与完整工具生态,在更高智能水平上持续进化。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥12Output¥36per 1M tokens
Context window
1M
Added to catalog
Sep 3, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Ali¥12¥36¥1.51M128K

Ali

Latency
12.48s
Throughput
52 tokens/s
Context
1M

Pricing

Input
¥12/M tokens
Output
¥36/M tokens
Cached
¥1.5/M tokens

Additional pricing

Cached tiers
¥1.5
Cache write tiers 5m
¥15
Cache read tiers
¥1
Built in tools · Web search
¥0.004
Built in tools · I2i search
¥0.05
Built in tools · T2i search
¥0.02

Specifications

Context
1M
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1/completions/v1beta/models/*/v1/models/*

Qwen3.8-Max-0902(快照版) 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/qwen3.8-max-0902", 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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