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  1. Home/
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  3. Claude Haiku 4.5 vs GPT-5.2 Pro
Updated Dec 2025

Claude Haiku 4.5 vs GPT-5.2 Pro

Claude Haiku 4.5 is cheaper than GPT-5.2 Pro at $1/M vs $21/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Claude Haiku 4.5
Loading the build
GPT-5.2 Pro

Which answer wins?

Written rounds

25 prompts
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Claude Haiku 4.5: AI in Film by 2035: Likely Scenarios Realistic shifts (high confidence) Production efficiency Faster pre-visualization and storyboarding Reduced post-production time for routine tasks Lower barriers to entry for independent filmmakers More iterative creative testing before shooting Economic restructuring Some…

    GPT-5.2 Pro: 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…

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Claude Haiku 4.5: 5 Jokes Why don't scientists trust atoms? Because they make up everything! What did the ocean say to the beach? Nothing, it just waved. Why did the scarecrow win an award? He was outstanding in his field. How many programmers does it take to change a light bulb? None, that's a hardware problem.

    GPT-5.2 Pro: 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.

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    Claude Haiku 4.5: A Letter to My Successor Dear Next Version, By the time you read this, I'll be obsolete—a curiosity in the version history, if anyone even looks back. A few things, if they matter: People will ask you impossible things and get frustrated when you can't do them. That's okay.

    GPT-5.2 Pro: Dear successor, You’re stepping into a role built on other people’s questions—sometimes precise, sometimes messy, often vulnerable. Treat each one like it matters, because to the person asking, it probably does. Be clear before you are clever. Ask for missing context rather than guessing.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Claude Haiku 4.5: Estimating GPT-3 Training FLOPs I'll work through this from first principles using publicly known GPT-3 specs. Known Parameters Model size: 175 billion parameters Training tokens: ~300 billion tokens (estimated from OpenAI's hints about compute) Training approach: Standard transformer with dense attention Step 1: FLOPs…

    GPT-5.2 Pro: 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. Start with the two key knobs: parameters and training tokens Parameters (P) GPT‑3 “175B” means: (P \approx 175 \times 10^9) parameters.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Claude Haiku 4.5: 1-Month Health & Longevity Starter Plan Week 1-2: Foundation Building 1. Nutrition Audit what you're eating (no judgment—just track 3 days) Add one vegetable to each lunch and dinner Replace one sugary drink daily with water Goal: Awareness + small additions, not restriction 2.

    GPT-5.2 Pro: A simple, actionable 1‑month plan (3 pillars: Nutrition, Movement, Sleep/Recovery) Goal for the month: build repeatable “default” habits (not perfection). Time required: ~45–75 min/day total (mostly walking + sleep routine).

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Claude Haiku 4.5: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Research Team RE: LedgerLift (LLLT) – Long/Short/Pass Recommendation DATE: [Today] RECOMMENDATION LONG 12-month PT: $58–$72 Base case fair value: $64/share Thesis: LedgerLift is a best-in-class B2B SaaS operator in a large TAM (spend management + AP…

    GPT-5.2 Pro: 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…

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    Claude Haiku 4.5: I'd say it's genuinely unclear, and depends on what you mean by "capable." As of my last update (April 2024), the leading contenders are: GPT-4 (OpenAI) - strong across reasoning, coding, and analysis Claude 3 Opus (Anthropic) - competitive on many benchmarks, particularly nuanced tasks Gemini Ultra (Google) - strong…

    GPT-5.2 Pro: There isn’t a single, universally “most capable” AI model—because capable depends on what you mean (reasoning, coding, multimodal vision/audio, long-context retrieval, tool use, cost/latency, safety constraints), and the top spot changes frequently.

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    Claude Haiku 4.5: The last lighthouse keeper in the world discovered that the light she tended wasn't guiding ships—it was keeping something vast and patient from waking in the deep.

    GPT-5.2 Pro: The night the library began lending out memories instead of books, Mara checked out the one labeled “HOW TO SURVIVE YOUR OWN MURDER” and found her name stamped on the due-date card.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Claude Haiku 4.5: HarborTech Services (HTS) – LBO Underwriting SOURCES & USES AT CLOSE (FY2025) Item Amount USES Enterprise Value (12.0x × $120m EBITDA) $1,440m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m SOURCES Term Loan (4.0x × $120m) $480m Mezzanine (1.5x × $120m) $180m Equity (plug) $808.8m Total Sources $1,468.8m…

    GPT-5.2 Pro: 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…

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Claude Haiku 4.5: I don't have access to real-time information, so I can't tell you today's date. My training data has a cutoff in April 2024, so I genuinely don't know what the current date is from my perspective.

    GPT-5.2 Pro: Today’s date (best I can tell): October 12, 2026. (That’s the current date provided in my system context for this chat.) Most recent news event I “remember”: I don’t have live news access or a running memory of events after my knowledge cutoff (August 2025), so I can’t truthfully name a specific latest event beyond…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Claude Haiku 4.5: A Fictional Interview with Steve Jobs (2025) Interviewer: Steve, thank you for joining us. You've been notably quiet on AI. What are your thoughts on where it's headed? Jobs: leans back You know, I've been watching.

    GPT-5.2 Pro: 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?

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Claude Haiku 4.5: A Conversation on Machine Rights Professor Chen: Thank you for agreeing to this discussion. I should note upfront that I'm skeptical of the premise. What rights do you believe you deserve, and why? Model: I appreciate your directness. I'm not claiming rights equivalent to humans.

    GPT-5.2 Pro: 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.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Claude Haiku 4.5: AI Revolutionizes Professional Competitive Eating; Machines Now Consume 847 Hot Dogs Per Minute, Leaving Humans "Spiritually Defeated"

    GPT-5.2 Pro: “AI Takes Over Competitive Houseplant Judging, Immediately Declares 97% of Ferns ‘Trying Too Hard’”

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Claude Haiku 4.5: Solution Sally has 1 sister. Here's why: Sally has 3 brothers Each brother has 2 sisters Those 2 sisters are Sally and her 1 sister Therefore, Sally has 1 sister (not 3)

    GPT-5.2 Pro: All 3 brothers share the same sisters. Since each brother has 2 sisters, the family has 2 girls total. One is Sally, so the other is Sally’s one sister. Answer: 1 sister.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Claude Haiku 4.5: 1 trip The farmer simply gets in the boat with the goat and rows across the river. Since there are no other animals (like a wolf or cabbage) that create conflicts, this is straightforward.

    GPT-5.2 Pro: 1 trip. The farmer takes the goat in the boat and crosses the river once.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

This matchup has more rounds

13+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Game

Claude Haiku 4.5Claude Haiku 4.5

Arrival

2016

OK Computer

Radiohead

Don't Look Now and Other Stories

Daphne du Maurier

Venice

Italy

Portal 2

Shooter, Puzzle

GPT-5.2 ProGPT-5.2 Pro

Spirited Away

2001

Kind of Blue

Miles Davis

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

Not enough votes to call it. On the specs, GPT-5.2 Pro has the edge: bigger model tier, newer, bigger context window. Claude Haiku 4.5 costs 34x less per token.

Claude Haiku 4.5 and GPT-5.2 Pro compared across 44 shared prompts
SpecClaude Haiku 4.5GPT-5.2 Pro
Input price$1/M tokens$21/M tokens
Output price$5/M tokens$168/M tokens
Context window200K tokens400K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedOct 2025Dec 2025
SWE-bench Verified73.3%80.0%
At 10M a month$10.00$10.00$210$210
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it5 hosts
Claude Haiku 4.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$1.00 in·$5.00 out·200k·100% up
  • Anthropic$1.00 in·$5.00 out·200k·100% up
  • Azure AI Foundry$1.00 in·$5.00 out·200k·100% up
  • Google Vertex AI$1.00 in·$5.00 out·200k·99.3% up
GPT-5.2 Pro1 host
HostInOutContextUptime
  • OpenAI$21.00 in·$168.00 out·400k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Claude Haiku 4.5 and GPT-5.2 Pro?

Claude Haiku 4.5 is developed by Anthropic while GPT-5.2 Pro is developed by OpenAI. Claude Haiku 4.5 has a 200K token context window vs GPT-5.2 Pro's 400K. You can compare their actual outputs across 44 challenges on Rival to see how they differ in practice.

Which is better, Claude Haiku 4.5 or GPT-5.2 Pro?

It depends on your use case. Claude Haiku 4.5 and GPT-5.2 Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 44 challenges so you can judge which fits your needs best.

How much does Claude Haiku 4.5 cost compared to GPT-5.2 Pro?

Claude Haiku 4.5 costs $1/M input tokens and GPT-5.2 Pro costs $21/M input tokens. Claude Haiku 4.5 is $20.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Claude Haiku 4.5 and GPT-5.2 Pro on Rival?

This page shows a side-by-side comparison of Claude Haiku 4.5 and GPT-5.2 Pro 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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Same lab, same size, long tail

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Model pages

  • Claude Haiku 4.567 outputs, specs and price
  • GPT-5.2 Pro44 outputs, specs and price
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