Alibaba: Qwen3 Max

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

Model lab: Alibaba
Model family: qwen

Modalitiestext → text

Context window262,144

Maximum output65,536

InputUSD 0.288 / 1M tokens

OutputUSD 1.144 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to alibaba/qwen3-max.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen3-max"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Qwen3 Max API Pricing

Type	Price information
Input	USD 0.288 / 1M tokens
Output	USD 1.144 / 1M tokens
Cached input	USD 0.0576 / 1M tokens

Benchmarks

Intelligence Index · v4.315.6

Coding Index—

Agentic Index—

Benchmark	Score	Measurement
Artificial Analysis Coding Index	26.4	index · Date: 2026-05-30
SciCode	38.3	percent correct · Date: 2026-05-30
Terminal-Bench Hard	20.5	success rate · Date: 2026-05-30

Performance

Performance trends

Throughput87.3 tok/sCurrent

Time to first token3.0 sCurrent

End-to-end latency6.9 sCurrent

Throughput

Current87.3 tok/s

Window average88.7 tok/s

Time to first token

Current3.0 s

Window average1.5 s

End-to-end latency

Current6.9 s

Window average7.5 s

Tail latency (P99)

Current16.7 s

Window average16.5 s

Prompt cache hit rate

Current19.1%

Window average24.5%

Error rate

Current0.0%

Window average0.2%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Qwen3 Max Compare models

Model	Input price	Output price	Context window	Capabilities
Qwen3 MaxThis page	USD 0.288 / 1M tokens	USD 1.144 / 1M tokens	262,144	Text output · Tool calling
Qwen3.8 2.4T A95B	USD 1.56 / 1M tokens	USD 4.56 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Qwen3.7 Max	USD 0.66 / 1M tokens	USD 1.9804 / 1M tokens	1,000,000	Text output · Reasoning · Tool calling
Qwen3.6 Max Preview	USD 1.72 / 1M tokens	USD 10.288 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Qwen3 Coder Next	USD 0.0864 / 1M tokens	USD 0.54 / 1M tokens	262,144	Text output · Tool calling

Model specifications

Input: text
Output: text
Context window: 262,144
Maximum output: 65,536
Release date: 2025-09-23
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: No

Frequently asked questions

What is Qwen3 Max for?

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

What inputs and outputs does Qwen3 Max support?

Recorded inputs: text; outputs: text.

How is Qwen3 Max priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.288 / 1M tokens; Output USD 1.144 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Qwen3 Max?

Current model records list Context window 262,144 tokens; Maximum output 65,536 tokens.

What model parameter does the Quickstart use?

The example uses alibaba/qwen3-max. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.