Qwen 3.8 Max Live Now

Qwen3.8-Max

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ReasoningVisual UnderstandingText Generation

Overview #

ReasoningVisual UnderstandingText Generation

2.4-trillion-parameter MoE flagship delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.

Input

ImageTextVideo

Output

Text

Features #

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

feature.funeTuning

Pricing #

• Input$2Per 1M tokens
• Output$6Per 1M tokens
• Input(Implicit Cache)$0.25Per 1M tokens
• Explicit Cache Creation$2.5Per 1M tokens
• Explicit Cache Read$0.17Per 1M tokens

Rate Limits & Context #

• Max Input991.80K
• Max Output131.07K
• RPMRequests Per Minute15K
• TPMTokens Per Minute2M
• Max Input (Thinking)983.61K
• Max Output (Thinking)131.07K
• Context1M

Built-in Tools #

code_interpreterResponses API

web_extractorResponses API

web_searchResponses API

t2i_searchResponses API

i2i_searchResponses API

API Reference #

Get API Key

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import os
import dashscope
dashscope.base_http_api_url = "https://dashscope-intl.aliyuncs.com/api/v1"

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
            {"text": "What is depicted in the image?"}]
    }]
response = dashscope.MultiModalConversation.call(
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model='qwen3.8-max',
    messages=messages
)
print(response.output.choices[0].message.content[0]["text"])