Models / Qwen/ Qwen Plus 0728

Qwen Plus 0728

Qwen · released Sep 8, 2025

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 1, 2026

A proprietary text model from Qwen built for document-scale work with a one-million-token request limit. It is a mid-market hosted option with consistent pricing across its three providers, though no measured quality data exists yet.

Who should pick it

Pick this for long-document workflows that need a one-million-token request limit when you do not need benchmark-verified quality. Use it for budget-conscious hosted text inference with modest throughput needs. Skip it if you need measured quality scores, self-hosting, fine-tuning, or predictable throughput.

The case for it

  • One-million-token request limit — ten times the 100,000-token threshold common among current models.
  • Identical pricing across all three tracked providers.

The case against it

  • No benchmark scores in our data: chat, reasoning, coding and multilingual performance are all unverified.
  • Throughput varies sharply between Alibaba endpoints — 39 tokens per second on one versus 9 on another — with no clarity on when each applies.
  • Proprietary weights with no disclosed licence: no self-hosting or fine-tuning possible.
00

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 Qwen Plus 0728 — 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 3 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
$0.26 in / $0.78 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$0.26 / $0.781Mnot measuredUnknownUnknownUnknown
Alibaba Cloud$0.26 / $0.781M39 tok/sNoYesunknown periodUnknown
Alibaba Cloudfp8$0.26 / $0.781M37 tok/sNoYesunknown periodUnknown

Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 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

Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.

02

Models people weigh against Qwen Plus 0728

03

When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Sep 8, 2025AnnouncedQwen Plus 0728 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.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 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.
04

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-qwen-plus-0728

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us