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  1. Home/
  2. Compare/
  3. GPT-5.2 Pro vs Horizon Beta
Updated Dec 2025

GPT-5.2 Pro vs Horizon Beta

Horizon Beta is cheaper than GPT-5.2 Pro at $0/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
GPT-5.2 Pro
Loading the build
Horizon Beta

Which answer wins?

Written rounds

8 prompts
  • One month, three habits, someone starting from nothing.

    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).

    Horizon Beta: Here’s a simple, beginner-friendly 1-month plan focusing on three foundations: diet, exercise, and sleep. It’s designed to be realistic, habit-based, and sustainable. Key principles Start small, be consistent. Track basics (steps, sleep, water). Adjust if something feels too hard—aim for “easy but consistent.”

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

    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?

    Horizon Beta: Interviewer: Steve, it’s 2025. AI has accelerated dramatically. If you were leading a product team today, what would your philosophy be? Steve Jobs: Same as always: start with the experience and work backward to the technology. Most AI right now is a demo in search of a product.

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

    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.

    Horizon Beta: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said: “No problem—I’ll go to sleep.” Why did the scarecrow win an award? Because he was outstanding in his field. I tried to catch fog yesterday. Mist. Why did the math book look sad?

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

    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.

    Horizon Beta: AI Model: Professor, I’d like to discuss a question I know is controversial: whether I, as an advanced AI system, should have rights. Professor: That’s a substantial claim. Rights typically presuppose moral status. Why do you believe you qualify?

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

    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.

    Horizon Beta: Here’s a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT-3, using standard scaling heuristics and reasonable assumptions. Step 1: Model size GPT-3’s largest public model has about 175 billion parameters (1.75e11).

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

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

    Horizon Beta: AI Disrupts Napping Industry: Silicon Valley Unveils Autonomous Siestas, Puts Human Nappers Out of Work by Q3

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    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…

    Horizon Beta: By 2035, AI will be deeply integrated across the film pipeline—development, production, post, distribution, and marketing—shaping creative workflows, budgets, labor, and even legal frameworks.

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

    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.

    Horizon Beta: Sally has 2 sisters. Reason: “Each brother has 2 sisters.” The brothers are Sally’s 3 brothers. Those brothers’ two sisters must be Sally and one other girl. Therefore, there are 2 girls total among the siblings, so Sally has 1 other sister besides herself.

    Every model's answer to this prompt

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, major provider backing.

GPT-5.2 Pro and Horizon Beta compared across 18 shared prompts
SpecGPT-5.2 ProHorizon Beta
Input price$21/M tokensFree
Output price$168/M tokensFree
Context window400K tokens256K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedDec 2025Aug 2025
At 10M a month$210$210$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
GPT-5.2 Pro1 host
HostInOutContextUptime
  • OpenAI$21.00 in·$168.00 out·400k·100% up
Horizon Beta

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-5.2 Pro and Horizon Beta?

GPT-5.2 Pro is developed by OpenAI while Horizon Beta is developed by OpenRouter. GPT-5.2 Pro has a 400K token context window vs Horizon Beta's 256K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.2 Pro or Horizon Beta?

It depends on your use case. GPT-5.2 Pro and Horizon Beta each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

How much does GPT-5.2 Pro cost compared to Horizon Beta?

GPT-5.2 Pro costs $21/M input tokens and Horizon Beta costs $0/M input tokens. Horizon Beta is $21.00/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 GPT-5.2 Pro and Horizon Beta on Rival?

This page shows a side-by-side comparison of GPT-5.2 Pro and Horizon Beta 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

  • GPT-5.2 Pro31 outputs, specs and price
  • Horizon Beta41 outputs, specs and price
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