qwen3-max

Qwen3 Max

Q: What is the context length of qwen3-max?

qwen3-max has a 262,144 token context window. It supports up to 65,536 output tokens.

Q: How much does qwen3-max cost?

On AIHubMix, qwen3-max costs $0.451 per million input tokens and $1.803 per million output tokens. Cached input reads are billed at $0.09 per million tokens.

Q: What modalities does qwen3-max support?

qwen3-max accepts text and image input. It returns text output.

Q: What capabilities does qwen3-max support?

qwen3-max supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

Q: How do I call qwen3-max via API?

qwen3-max is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3-max — no other code changes needed.

Q: Who created qwen3-max?

qwen3-max is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

qwen3-max

Qwen

The Tongyi Qianwen 3 series Max model has undergone special upgrades in intelligent agent programming and tool invocation compared to the preview version. The officially released model this time reaches SOTA level in the field and is adapted to more complex intelligent agent scenarios.

Pricing

Tier	Pricing	Web Search	Cache Write	Cache Read
Tier	Pricing	Web Search	Cache Write	Cache Read
0<Input<=32K	$0.451$2.705	$0.000548/request	$0.5635/M tokens	$0.09016/M tokens
32K<Input<=128K	$0.902$5.412	$0.000548/request	$1.1275/M tokens	$0.1804/M tokens
128K<Input<=256K	$1.352$8.113	$0.000548/request	$1.69025/M tokens	$0.27044/M tokens

Input Modalities

Text
Vision

Output Modalities

Text

Capabilities

Tools
Tool calling
Structured outputs

Try this model

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="qwen3-max",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is qwen3-max?

What is the context length of qwen3-max?

How much does qwen3-max cost?

What modalities does qwen3-max support?

What capabilities does qwen3-max support?

How do I call qwen3-max via API?

Who created qwen3-max?

Compare qwen3-max

qwen3-maxvsqwen3.8-max-preview qwen3-maxvskimi-k3 qwen3-maxvsglm-5.2 qwen3-maxvsgrok-4.5

Qwen3 Max

Pricing

Input Modalities

Output Modalities

Capabilities

Try this model

Frequently asked questions

What is qwen3-max?

What is the context length of qwen3-max?

How much does qwen3-max cost?

What modalities does qwen3-max support?

What capabilities does qwen3-max support?

How do I call qwen3-max via API?

Who created qwen3-max?

Compare qwen3-max

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Qwen3 Max

Pricing

Input Modalities

Output Modalities

Capabilities

Try this model

Frequently asked questions

What is qwen3-max?

What is the context length of qwen3-max?

How much does qwen3-max cost?

What modalities does qwen3-max support?

What capabilities does qwen3-max support?

How do I call qwen3-max via API?

Who created qwen3-max?

Compare qwen3-max

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