Models / Qwen/ Qwen3 Max Thinking

Qwen3 Max Thinking

Qwen · released Feb 9, 2026

Input: text. Output: text.InputOutput
Type
Proprietary
Input
None held
Output
None held
Cached
None held

We don't hold a list price for this model yet · hosted only — we hold no downloadable copy

Our take

Written Aug 3, 2026

Qwen3 Max Thinking is a proprietary reasoning model from Alibaba that handles up to 262,144 tokens in a single request. It is text-only and carries a premium price tag, with no benchmark scores yet in our data to confirm its quality.

Who should pick it

Consider this for long-document reasoning tasks where a quarter-million-token context matters, or when you want Alibaba-hosted inference at a faster throughput tier. Skip it if you need measured quality data to justify the cost, if you want to self-host, or if you need image, audio or video input.

The case for it

  • 262,144-token request limit — among the largest we track for this model class.
  • Two throughput tiers on Alibaba at the same price point: 53 tokens per second or 22 tokens per second.

The case against it

  • Premium pricing with no measured quality in our data to justify the cost.
  • Zero benchmark scores — no chat, reasoning or coding scores published in our catalogue.
  • Proprietary weights only; no download available.
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How good is it?

We hold no score for this model.

We look for every model we track on every board we watch, and none of them has turned up Qwen3 Max Thinking — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.

The boards we watch →

01

Or rent it from someone else

Cheapest published offer

Cheapest of 4 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.

per 1M tokens
$0.78 in / $3.90 out
Context served
262K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$0.78 / $3.90262Knot measuredUnknownUnknownUnknown
Alibaba Cloud$0.78 / $3.90262K22 tok/sNoYesunknown periodUnknown
Alibaba Cloudfp8$0.78 / $3.90262K37 tok/sNoYesunknown periodUnknown
DeepInfra$1.20 / $6.00256Knot measuredUnknownUnknownUnknown

Across the 4 listings we hold: 2 say they do not train on prompts, 0 say they do and 2 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
Alibaba Cloud
Alibaba Cloudfp8
DeepInfra

Tool calling: 3 of 4 listings say yes, 1 publishes no parameter list. JSON output: 3 of 4 listings say yes, 1 publishes no parameter list. Strict schema: 3 of 4 listings say yes, 1 publishes no parameter list.

02

When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Feb 9, 2026AnnouncedQwen3 Max Thinking announced by Qwen

Prices last checked 9d ago

What we do not know about this model yet

  • No board we watch has turned up a score, so we hold no quality figures at all.
  • 1 of 4 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 4 listings do not say whether they train on prompts.
  • We don't hold a list price for this model yet — the gap is ours, not the lab's.
  • We hold no cached-input rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text->text
Catalogue slug
qwen-qwen3-max-thinking

Machine-readable model card (omc.json) →

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