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  5. GPT-5.2 ProvsQwen3.6 35B A3B
Updated Apr 2026

GPT-5.2 ProvsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than GPT-5.2 Pro at $0.1612/M vs $21/M input tokens.

GPT-5.2 Pro and Qwen3.6 35B A3B compared across 31 shared prompts
SpecGPT-5.2 ProQwen3.6 35B A3B
Input price$21/M tokens$0.1612/M tokens
Output price$168/M tokens$0.9653/M tokens
Context window400K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 31 prompts both answered. Formatting stripped, words untouched.

Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GPT-5.2 Pro58 words
I told my computer I needed a break—now it won’t stop sending me KitKat ads. Why don’t skeletons fight each other? They don’t have the guts. I tried to catch fog yesterday. Mist. Parallel lines have so much in common. It’s a shame they’ll never meet. My calendar’s days are numbered—apparently that’s how calendars work.
Read the full answer
Qwen3.6 35B A3B84 words
Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! What do you call a bear with no teeth? A gummy bear! Why did the bicycle fall over? Because it was two-tired!
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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 Pro161 words
Entry (close end of FY2025) FY2025 EBITDA = $120.0m Entry EV = 12.0x = 12.0 × 120.0 = $1,440.0m Transaction fees = 2.0% EV = 0.02 × 1,440.0 = $28.8m (equity-funded) Debt at close (5.5x EBITDA = 5.5 × 120 = $660m): Term Loan = 4.0x = $480.0m Mezzanine = 1.5x = $180.0m Equity check Uses = 1,440.0 + 28.8 = $1,468.8m…
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Qwen3.6 35B A3B538 words
Simplified Year-by-Year Model (FY2026–FY2030) All figures in $m. Assumptions: TL amort = 1.0% of beginning balance; Mezz PIK compounds to principal; ΔNWC = 0.5% of incremental revenue; Cash Tax = 25% × max(0, EBITDA – Cash Interest).
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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 Pro1,890 words
Professor Mara Lin (AI Ethics): You asked for this meeting. Your message said you wanted to “petition for rights.” Start by telling me what you mean by rights. Aster (AI model): Not a slogan—specific protections.
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Qwen3.6 35B A3B1,540 words
Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-5.2 Pro1,001 words
Fictional interview (creative simulation). Steve Jobs died in 2011; the “Steve” below is an imagined version used for storytelling—not a real interview or quotation. Interviewer: It’s 2025. Everyone’s calling AI “the next computing platform.” Do you buy that?
Read the full answer
Qwen3.6 35B A3B678 words
[FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-5.2 Pro484 words
LedgerLift (LLLT) — Internal IC Memo (Long/Short Equity) Recommendation, PT, thesis Recommendation: SHORT 12-month PT range: $28–$40 (midpoint $34) Thesis (2 sentences): LLLT is a high-quality B2B spend/AP automation SaaS business (92% subscription, 123% NRR, 78% FY25 GM) but the stock prices in a longer runway of…
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Qwen3.6 35B A3B531 words
IC MEMO TO: Investment Committee FROM: Equity Research DATE: October 24, 2024 TICKER: LLLT SECTOR: Enterprise SaaS / Fintech PRICE: $46.00 NET CASH: $1.4B MKT CAP: $8.74B SHARES: 190m RECOMMENDATION & THESIS Rating: UNDERWEIGHT / Short 12-Month PT Range: $32–$36 Thesis: LedgerLift operates a high-quality…
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

GPT-5.2 Pro929 words
By 2035, AI will be embedded across film production and distribution, but the biggest changes will come from three converging capabilities: (1) photoreal “deepfake-grade” performance synthesis, (2) legally licensed AI actors (digital humans with negotiated rights), and (3) AI-assisted story development that can…
Read the full answer
Qwen3.6 35B A3B726 words
By 2035, AI will no longer be a disruptive novelty but a foundational infrastructure of the film industry. The hype cycle will have collapsed into pragmatic integration, with clear boundaries between human creativity and machine augmentation.
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Our Verdict
GPT-5.2 Pro
GPT-5.2 Pro
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

Not enough votes to call it. On the specs, GPT-5.2 Pro has the edge: bigger model tier, bigger context window, major provider backing.

Qwen3.6 35B A3B costs 174x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.2 Pro
Input
$21.00
Output
$168.00
Qwen3.6 35B A3B
Input
$0.16
130× cheaper
Output
$0.97
174× cheaper

Qwen3.6 35B A3B is cheaper on both: 130× input, 174× output.

Where to run it

10 hosts, cheapest first

GPT-5.2 Pro1 host
HostInOutContextUptime
OpenAI$21.00 in·$168.00 out·400k·100% up
Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·100% upAAkashMLfp8$0.10 in·$0.90 out·262k·100% upVVenicefp8$0.10 in·$1.00 out·256k·99.3% upPParasailfp8$0.15 in·$1.00 out·262k·99.9% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.5% upPPhala$0.20 in·$1.27 out·262k·99.7% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.7% upCCoreWeavefp8$0.25 in·$1.25 out·262k·99.6% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·96.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
46%

Qwen3.6 35B A3B uses 160.3x more emoji

GPT-5.2 Pro
Qwen3.6 35B A3B
62%Vocabulary59%
19wSentence Length15w
0.39Hedging0.31
8.6Bold4.9
3.8Lists2.7
0.00Emoji1.60
1.17Headings0.75
0.02Transitions0.05
Based on 10 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-5.2 Pro is developed by OpenAI while Qwen3.6 35B A3B is developed by Qwen. GPT-5.2 Pro has a 400K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 31 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.2 Pro and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 31 challenges so you can judge which fits your needs best.

GPT-5.2 Pro costs $21/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $20.84/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of GPT-5.2 Pro and Qwen3.6 35B A3B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

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Rival
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Explore all of Rival

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