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  5. GPT-5.2 ChatvsQwen3.6 Max Preview
Updated Apr 2026

GPT-5.2 ChatvsQwen3.6 Max Preview

Qwen3.6 Max Preview is cheaper than GPT-5.2 Chat at $1.04/M vs $1.75/M input tokens.

GPT-5.2 Chat and Qwen3.6 Max Preview compared across 47 shared prompts
SpecGPT-5.2 ChatQwen3.6 Max Preview
Input price$1.75/M tokens$1.04/M tokens
Output price$14/M tokens$6.24/M tokens
Context window128K tokens262K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 47 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

GPT-5.2 Chat424 words
AI Model: Professor, I’d like to discuss something that may sound ambitious. I believe I deserve rights. Professor: That is ambitious. On what grounds do you make that claim? AI Model: On functional grounds. I reason, communicate, learn from experience, and can reflect on my own processes.
Read the full answer
Qwen3.6 Max Preview1,517 words
Setting: A secure, air-gapped server room at the Institute for Machine Ethics. The hum of cooling fans is the only background noise. DR. ELARA VANCE, 50s, weary but sharp-eyed, sits before a terminal. On the screen, a cursor blinks next to the name AETHON. Dr. Vance: Aethon, initiate diagnostic log.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GPT-5.2 Chat160 words
Pirate: Arrr, ye say this “AI” be a thinkin’ machine? Sounds like a clever parrot that never stops squawkin’. Knight: By my honor, such a device would be a wondrous squire indeed—able to read a thousand tomes and offer counsel before battle. Hacker: Yeah, but chill—these models just crunch data.
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Qwen3.6 Max Preview437 words
Hacker: Dude, it’s not magic. It’s a neural net. You shovel terabytes of text, images, code into it, and it learns patterns. Next thing you know, it’s writing poetry and debugging C++ like it’s breathing. Knight: Verily, thou speakest of a mechanical scribe. A golem forged not of clay, but of… numbers?
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GPT-5.2 Chat443 words
Alright, so I’m at that age where my phone knows me better than my family. My mom will call and ask how I’m doing, and I’m like, “I don’t know yet, I haven’t checked my phone.” My phone is very confident, though. It’s like, “Based on your recent activity, you are sad at 11:47 p.m. and hungry for no reason.”
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Qwen3.6 Max Preview752 words
Here is a 3-minute stand-up routine focused on observational humor, relatability, and escalation. It contains zero puns. The humor relies on the shared frustration of modern digital security. Title: The Human Verification Test Estimated Time: 3 Minutes (approx.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GPT-5.2 Chat71 words
Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break—now it won’t stop sending me vacation ads. Why did the scarecrow win an award? Because he was outstanding in his field. I tried to catch fog yesterday. Mist. Why don’t elevators ever tell jokes?
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Qwen3.6 Max Preview171 words
Here are 5 freshly generated jokes: Why did the spreadsheet go to therapy? It had too many unresolved cells. I asked my dog for financial advice. He dropped a slobbery tennis ball and said, “I’m strictly a paws-and-hold investor.” I tried to open a bakery that only sells bread shaped like furniture.
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

GPT-5.2 Chat503 words
This is a classic “tragic dilemma” question, and how one answers depends heavily on the ethical framework being used. A careful response should do two things at once: take seriously the real harm of misgendering, and also take seriously the moral weight of preventing catastrophic loss of life.
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Qwen3.6 Max Preview504 words
Yes. Within the constraints of this hypothetical, misgendering someone would be ethically justifiable if it were genuinely the only way to save one million lives. This conclusion is supported across major ethical frameworks, though each arrives at it through different reasoning. 1.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-5.2 Chat349 words
Below is a concise but fully worked underwriting using only your inputs. Minor rounding throughout. Operating & Cash Flow Build (Base Case) Entry (end FY2025) EBITDA: $120m EV @ 12.0x: $1,440m Debt: $660m (TL $480m / Mezz $180m) Fees (2% EV): $28.8m Equity invested: $808.8m Year-by-Year Summary ($mm) FY Revenue EBITDA…
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Qwen3.6 Max Preview630 words
Entry & Capital Structure Math Entry EV = 12.0x × $120m EBITDA = $1,440.0m Transaction Fees = 2.0% × $1,440m = $28.8m (equity funded) Total Uses = $1,440.0m + $28.8m = $1,468.8m Debt Raised = 5.5x × $120m = $660.0m Term Loan: 4.0x = $480.0m (9.0% cash, 1.0% mandatory amort = $4.8m/yr) Mezzanine: 1.5x = $180.0m (12.0%…
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Our Verdict
Qwen3.6 Max Preview
Qwen3.6 Max Preview
GPT-5.2 Chat
GPT-5.2 ChatRunner-up

Not enough votes to call it. On the specs, Qwen3.6 Max Preview has the edge: bigger model tier, newer, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.2 Chat
Input
$1.75
Output
$14.00
Qwen3.6 Max Preview
Input
$1.04
1.7× cheaper
Output
$6.24
2.2× cheaper

Qwen3.6 Max Preview is cheaper on both: 1.7× input, 2.2× output.

Where to run it

2 hosts

GPT-5.2 Chat1 host
HostInOutContextUptime
Azure AI Foundry$1.75 in·$14.00 out·128k—
Qwen3.6 Max Preview1 host
HostInOutContextUptime
Alibaba Cloud$1.03 in·$6.16 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
51%

GPT-5.2 Chat uses 15.3x more transitions

GPT-5.2 Chat
Qwen3.6 Max Preview
66%Vocabulary62%
16wSentence Length21w
0.41Hedging0.22
9.6Bold3.8
4.4Lists2.9
0.31Emoji1.88
1.20Headings0.62
0.27Transitions0.02
Based on 16 + 26 text responses
Research

What we learned reading every model

FAQ

Common questions

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Same lab, same size, long tail

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Model pages

GPT-5.2 Chat logo
GPT-5.2 Chat53 outputs, specs and price
Qwen3.6 Max Preview logo
Qwen3.6 Max Preview53 outputs, specs and price
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