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qwen3-max

Alibaba Cloud/πŸ‡ΈπŸ‡¬ Singapore/chat

This is the best-performing model in the Qwen series. It is ideal for complex, multi-step tasks.

Compare 2 providersAll models β†’

Which id to call

alibaba/qwen3-max

This exact deployment on Alibaba Cloud, with no routing and no failover. Send it as the model field.

Input /1M

$0.86

Alibaba Cloud

Output /1M

$3.44

4.0x input

Context

262K

66K output

Added

Sep 2025

chat

Capabilities 4/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What qwen3-max costs

Provider prices per 1M tokens, updated September 13, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.86

Output /1M

$3.44

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
$0.12
1M input + 100K output
$1.21
10M input + 1M output
$12.05

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to alibaba/qwen3-max. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="alibaba/qwen3-max",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window262K tokens
Max output66K tokens
API typechat
AddedSep 2025
Model id
Data retentionNone
Used for trainingNo
Served fromπŸ‡ΈπŸ‡¬ Singapore
Privacy policyAlibaba Cloud Privacy Policy β†’

Released 2026-01-26

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

GPQA Diamondreasoning
86.1%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
21.3%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from Alibaba Cloud

Newest first, on the same provider and the same key.

qwen3.8-flash

1.0M ctx/$0.16/1M

qwen3.8-max

1.0M ctx/$2.00/1M

qwen3.7-plus20% off

1.0M ctx/$0.32/1M

qwen3.7-max

1.0M ctx/$2.50/1M

qwen3.6-plus

1M ctx/$0.50/1M

qwen3-coder-plus

1.0M ctx/$1.00/1M

Reference

qwen3-max questions

How much does qwen3-max cost?

qwen3-max is priced at $0.86 per million input tokens and $3.44 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of qwen3-max?

qwen3-max has a context window of 262K tokens, with a maximum output of 66K tokens per response. That's roughly 350 words of input you can fit in a single prompt.

How does qwen3-max perform on benchmarks?

qwen3-max scores 86.1% on GPQA Diamond, 83.6% on τ²-Bench, 28.0% on Humanity's Last Exam. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can qwen3-max do?

qwen3-max supports vision input, tool calling, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use qwen3-max with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "alibaba/qwen3-max". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run qwen3-max through Requesty?

Yes. qwen3-max runs through Requesty's OpenAI-compatible API, served from Alibaba Cloud. You do not host the model yourself: point base_url at Requesty, set the model to "alibaba/qwen3-max", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call qwen3-max through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

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