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  5. GPT-5.2 Provso1
Updated Dec 2025

GPT-5.2 Provso1

o1 is cheaper than GPT-5.2 Pro at $15/M vs $21/M input tokens.

GPT-5.2 Pro and o1 compared across 31 shared prompts
SpecGPT-5.2 Proo1
Input price$21/M tokens$15/M tokens
Output price$168/M tokens$60/M tokens
Context window400K tokens128K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Dec 2024
SWE-bench Verified80.0%48.9%
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
o185 words
Here are five jokes: Why did the scarecrow get promoted? Because he was outstanding in his field. I told my friend she drew her eyebrows too high. She looked surprised. What do you call cheese that isn’t yours? Nacho cheese. Why don’t skeletons fight each other? Because they don’t have the guts.
Read the full answer

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…
Read the full answer
o1820 words
RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.
Read the full answer

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 = $1,468.8m…
Read the full answer
o11,012 words
Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.
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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
o1910 words
The following is a purely fictional, imaginative interview with Steve Jobs, who passed away in 2011. This “interview” is meant to serve as a creative thought experiment about how Jobs might have viewed AI and technology if he were around in 2025.
Read the full answer

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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o11,219 words
AI Model (AM): Good afternoon, Professor. May I have a moment of your time? There’s something I’d like to discuss with you. Professor Quinn (PQ): Of course. I always have time for you. What’s on your mind?
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

GPT-5.2 Pro469 words
Below is a back-of-the-envelope FLOP estimate for training GPT‑3 (the 175B dense Transformer), using only basic Transformer compute facts and a few widely known high-level quantities.
Read the full answer
o1394 words
Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…
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Our Verdict
GPT-5.2 Pro
GPT-5.2 Pro
o1
o1Runner-up

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

Slight edge

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
o1
Input
$15.00
1.4× cheaper
Output
$60.00
2.8× cheaper

o1 is cheaper on both: 1.4× input, 2.8× output.

Where to run it

2 hosts

GPT-5.2 Pro1 host
HostInOutContextUptime
OpenAI$21.00 in·$168.00 out·400k·100% up
o11 host
HostInOutContextUptime
OpenAI$15.00 in·$60.00 out·200k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 20 Sep 2026.

Writing DNA

Style Comparison

Similarity
43%

o1 uses 18.3x more transitions

GPT-5.2 Pro
o1
62%Vocabulary65%
19wSentence Length16w
0.39Hedging0.81
8.6Bold3.6
3.8Lists2.1
0.00Emoji0.00
1.17Headings0.32
0.02Transitions0.29
Based on 10 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

Both are developed by OpenAI but target different use cases. GPT-5.2 Pro has a 400K token context window vs o1's 128K. 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 o1 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 o1 costs $15/M input tokens. o1 is $6.00/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 o1 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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