Qwen: Qwen Plus 0728 (thinking)

qwen · Released Sep 8, 2025
DFO score #313 / 697
13.5 leaderboard score
Speed
– Not reported
Input Price #386 / 697
$0.260 per 1M tokens
Output Price #360 / 697
$0.780 per 1M tokens
Context #96 / 697
1M tokens

Analysis Summary

Qwen Plus 0728 Thinking is a text model with a one-million-token context window, tool use, and function calling. The supplied data does not include benchmark results, so its reasoning strength, instruction following, and coding performance cannot be established from this record. Its extended context is a useful product feature, but not proof of accurate long-document analysis.

The combination of large context and tools is worth evaluating for document-heavy workflows, such as searching and synthesizing lengthy client materials. Since there are no measured quality results here, keep it out of unsupervised client-facing work until it passes evaluation for factual consistency, output structure, and tool reliability. Image input is not listed.

Low listed token prices make a pilot practical. Adopt only after comparing its long-context performance and thinking-mode latency with a proven model on representative tasks.

Assessed September 23, 2026

Editorial notes

Score capped at 45: no benchmark data available for this model.

The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?

DFO Verdict

Score capped at 45: no benchmark data available for this model.

#313 of 697 overall Down 2 this week

How Qwen: Qwen Plus 0728 (thinking) compares

Its 1M-token context window is larger than 86% of the models we list. At $0.26 per million input tokens it is cheaper than 45% of comparable models.

Position in the field
DFO score: ahead of 56% of models #310
Price: cheaper than 45% of models #386
Context: larger than 86% of models #96
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Qwen: Qwen Plus 0728 (thinking) $0.26 in $0.78 out
Anthropic: Claude Opus 5.5 $4.00 in $20.00 out
Anthropic: Claude Sonnet 5.5 $2.00 in $10.00 out
Anthropic: Claude Fable 5.1 $10.00 in $50.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.26 $0.000260
Output $0.78 $0.000780

What would Qwen: Qwen Plus 0728 (thinking) cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$1.50/mo Qwen: Qwen Plus 0728 (thinking) $0.0005 per request
$31.68/mo Anthropic: Claude Opus 5.5 $0.01 per request
$15.84/mo Anthropic: Claude Sonnet 5.5 · best value $0.0053 per request

Full calculator with 697 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Qwen: Qwen Plus 0728 (thinking) for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About Qwen: Qwen Plus 0728 (thinking)

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Frequently asked questions about Qwen: Qwen Plus 0728 (thinking)

How much does Qwen: Qwen Plus 0728 (thinking) cost?

Qwen: Qwen Plus 0728 (thinking) costs $0.26 per million input tokens and $0.78 per million output tokens.

What is the context window of Qwen: Qwen Plus 0728 (thinking)?

Qwen: Qwen Plus 0728 (thinking) has a context window of 1,000,000 tokens (1M).

What can Qwen: Qwen Plus 0728 (thinking) do?

Qwen: Qwen Plus 0728 (thinking) supports tool use and function calling.

Who created Qwen: Qwen Plus 0728 (thinking)?

Qwen: Qwen Plus 0728 (thinking) is developed by Qwen and was released on September 8, 2025.

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