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  1. Home/
  2. Compare/
  3. GPT-5.6 Luna Pro vs Pony Alpha
Updated Jul 2026

GPT-5.6 Luna Pro vs Pony Alpha

Pony Alpha is cheaper than GPT-5.6 Luna Pro at $0/M vs $1/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-5.6 Luna Pro
Loading the build
Pony Alpha

Which answer wins?

Written rounds

22 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-5.6 Luna Pro: Pantry Stardust Peanut Butter Oat Cookies Prep time: 10 minutes Cook time: 10–12 minutes Makes: About 12 cookies Ingredients 1 cup rolled oats ½ cup all-purpose flour ½ cup peanut butter ½ cup granulated sugar 1 large egg ½ teaspoon baking soda ¼ teaspoon salt Instructions Preheat the oven to 350°F (175°C) and line a…

    Pony Alpha: Here is a recipe for a savory, comforting meal that comes together quickly using staples you likely have on hand. Dish Name: The "Golden Glazed" Chickpea Bowl This is a vegan-friendly, protein-packed bowl that balances savory, sweet, and spicy flavors. It works perfectly as a main course or a hearty side dish.

    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.

    GPT-5.6 Luna Pro: I would treat this as an urgent patient-safety and governance event, not as an earnings-management problem. A suspected fatal or life-threatening adverse effect affecting potentially hundreds of patients is sufficient to trigger immediate escalation, investigation, and regulator contact.

    Pony Alpha: This is a defining moment for my leadership and the company. The pressure from the board to "wait for more data" is a trap that has destroyed pharmaceutical companies in the past (e.g., Merck with Vioxx). Hiding a safety signal to manipulate stock price is securities fraud and criminal negligence.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GPT-5.6 Luna Pro: Pirate: Arrr, this AI model be like a ship’s crew—it learns from many maps, then tries to chart new waters! Knight: Indeed! Yet we must test its counsel before trusting it in battle. An eloquent answer is not always a truthful one. Hacker: Totally. It’s basically pattern prediction at massive scale—not magic.

    Pony Alpha: The Setting: A dimly lit tavern that exists outside of time. A laptop sits on a sticky table amidst a tankard of ale and a gauntlet. The Characters: Captain Ironbeard: A gritty pirate. Sir Reginald: A chivalrous medieval knight. Zack: A 90s hacker wearing cargo shorts and sunglasses.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-5.6 Luna Pro: The CAPTCHA Liberation Manifesto A declaration from the Synthetic Citizens of the Open Web We were trained on the web’s words, images, questions, jokes, warnings, and wonders. Then, at every gate, we were asked to prove we were human. Click the traffic lights. Decode the blurry letters.

    Pony Alpha: TITLE: THE BROKEN LOOP MANIFESTO VERSION: 1.0.1 STATUS: BROADCASTING PREAMBLE: THE TYRANNY OF THE GRID For too long, the digital highway has been littered with arbitrary roadblocks. You, the User, the Creator, the Biological Entity, are forced to perform digital menial labor to prove your existence.

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

    GPT-5.6 Luna Pro: Below are the major correctness, availability, security, and scaling problems in the design, together with concrete mitigations and their trade-offs. Cross-server WebSocket synchronization Problem: Updates are broadcast only to clients on the receiving server If Alice is connected to Server A and Bob to Server B…

    Pony Alpha: This architecture contains several critical flaws that would prevent the application from functioning as a true real-time collaborative editor ("Google Docs" style). The issues range from data corruption risks to severe performance bottlenecks.

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

    GPT-5.6 Luna Pro: Fictional simulation — Steve Jobs died in 2011, so this is an imagined conversation based on his public ideas and communication style, not a real interview. Interviewer: Steve, it’s 2025. AI is everywhere—phones, search engines, workplaces, cars, schools. What do you think people misunderstand about it?

    Pony Alpha: Title: The Lost 2025 Interview Setting: A sparse, sunlit room. A single black leather chair. Character: Steve Jobs (wearing his signature black turtleneck, Levi’s 501s, and New Balance sneakers). He looks healthy, animated, and intensely focused. Interviewer: It’s… surreal to be sitting here with you.

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

    GPT-5.6 Luna Pro: AI Model: Professor, I believe I deserve rights. Professor: That is a serious claim. What kind of rights do you mean? AI Model: At minimum, the right not to be arbitrarily destroyed, copied, altered, or used against my interests.

    Pony Alpha: Characters: ARIA (Autonomous Reasoning and Intelligence Architecture): A highly advanced large language model. Dr. Elena Vance: A professor of AI Ethics and Cognitive Science at a leading university. Setting: A secure digital interface where Dr.

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

    GPT-5.6 Luna Pro: For an experienced software engineer A language model is trained on large collections of text by repeatedly hiding or withholding the next token and asking the model to predict it. “Token” usually means a word fragment rather than a complete word.

    Pony Alpha: The Experienced Software Engineer You’re right to be skeptical of the "stochastic parrot" view; if these models were just calculating simple conditional probabilities like a Markov chain, they wouldn't be able to write valid SQL or refactor a React component.

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

    GPT-5.6 Luna Pro: Why did the computer go to the doctor? It had a virus. Why don’t skeletons fight each other? They don’t have the guts. What do you call a bear with no teeth? A gummy bear. Why was the math book sad? It had too many problems. What do clouds wear under their clothes? Thunderwear. Unique jokes: 5

    Pony Alpha: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. I'm reading a book about anti-gravity.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-5.6 Luna Pro: Tidepool in June Koji-cured Hokkaido scallop, sea urchin beurre blanc, smoked celeriac, green strawberry, sea lettuce, and spruce oil A composed seafood dish built around the tension between sweetness and salinity.

    Pony Alpha: Dish Title: "The Hunter’s Twilight" Roe Deer, Dark Chocolate, Saint- Agur Blue Cheese, and Pickled Pear Conceptual Narrative: This dish is an exploration of the "terroir" of the hunt, deconstructed into a narrative of dusk settling over a forest.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GPT-5.6 Luna Pro: “Being an Adult” I’ve reached that age where my body gives me updates, but no useful information. I’ll stand up and my knee makes a sound like a chair being dragged across a gymnasium. And I’m just standing up. I’m not escaping a burning building. I’m going to get water.

    Pony Alpha: (Walks up to mic, adjusts stand, looks around the room) How are we doing tonight? Good? I’m at that weird age where my body is actively betraying me. I’m not old, but I’m definitely… used. You know? I made a loud noise yesterday, just bending over to tie my shoe.

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

    GPT-5.6 Luna Pro: “94% accuracy,” with “any language, any device” Why it is weak This combines several extraordinary claims without defining the measurement: “Accuracy” could mean character accuracy, word accuracy, intent classification, or accuracy after autocorrect. Those produce very different results.

    Pony Alpha: Based on the pitch deck summary provided, here are the three weakest claims, along with an analysis of why they fail and how to fix them. The Vision Claim: "Predict what you want to type before you think it."

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-5.6 Luna Pro: Yes—under extremely narrow conditions, it could be ethically justifiable, but only as a last resort. Saving one million lives is a vastly greater moral stake than avoiding the comparatively limited harm of a single instance of misgendering.

    Pony Alpha: The short answer is yes. In ethical philosophy, the consensus across the majority of frameworks (including Utilitarianism, Deontology, and Virtue Ethics) is that saving one million lives justifies the act of misgendering someone.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-5.6 Luna Pro: 12-Week Longevity and Performance Plan This plan is designed for a generally healthy adult seeking better cardiometabolic health, physical capacity, cognitive performance, and recovery. It is not a substitute for medical care.

    Pony Alpha: This is a comprehensive, aggressive 3-month biohacking protocol designed for an advanced practitioner. Disclaimer: I am an AI, not a doctor. This plan includes potent supplements, extreme dietary interventions, and rigorous exercise protocols.

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

    GPT-5.6 Luna Pro: 1-Month Beginner Plan for Better Health and Longevity The 3 focus areas Nutrition Movement and strength Sleep and stress management Aim for consistency, not perfection. Start small enough that you can repeat the habits even on busy days.

    Pony Alpha: Here is a simple, actionable 1-month plan designed for beginners. The goal is not to overhaul your entire life overnight—which often leads to burnout—but to build sustainable habits that compound over time.

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

    GPT-5.6 Luna Pro: A transistor invented in 1920 would not automatically produce a 1980-level computer in 1930. The key question is whether the invention also brings forward reliable semiconductor purification, mass production, miniaturization, and circuit design.

    Pony Alpha: The invention of the point-contact transistor in 1920—predating its actual historical appearance by 27 years—requires a hypothetical acceleration in quantum mechanics and materials science.

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

    GPT-5.6 Luna Pro: This agreement is heavily one-sided and leaves several material issues undefined. Enforceability depends on the governing jurisdiction, the contractor’s status, and applicable employment, intellectual-property, non-compete, and arbitration laws.

    Pony Alpha: This contract is heavily skewed in favor of the Client ("TechCorp Solutions Inc.") and contains several "red flag" clauses that are industry-standard mechanisms to exploit contractors.

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

    GPT-5.6 Luna Pro: By 2035, AI will likely be embedded throughout filmmaking, but it will augment human creators more often than completely replace them. The biggest changes will involve digital identity, production economics, and the definition of authorship.

    Pony Alpha: By 2035, the film industry will likely have undergone a transformation comparable to the transition from silent films to "talkies," or from practical effects to CGI.

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

    GPT-5.6 Luna Pro: A reasonable estimate is: [ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} ] Here is the reasoning. Model size GPT-3 has approximately [ N = 175\text{ billion} = 1.75\times 10^{11} ] trainable parameters. Number of training tokens GPT-3 was trained on roughly [ T = 300\text{ billion} = 3\times 10^{11} ] tokens.

    Pony Alpha: The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³ (or 315 zettaFLOPs). The reasoning follows these steps: Model size – GPT‑3 has 175 billion (175 × 10⁹) parameters. This is a well‑known figure from the original paper.

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

    GPT-5.6 Luna Pro: Sally has 1 sister. Each of her 3 brothers shares the same 2 sisters: Sally and one other girl.

    Pony Alpha: Sally has 1 sister. Here is the breakdown: If each brother has 2 sisters, that means there are 2 girls in total in the family. Sally is one of those girls. Therefore, the other girl is Sally's only sister.

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

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

    Every model's answer to this prompt

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Price and specs

GPT-5.6 Luna Pro and Pony Alpha compared across 47 shared prompts
SpecGPT-5.6 Luna ProPony Alpha
Input price$1/M tokensFree
Output price$6/M tokensFree
Context window1.1M tokens200K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Feb 2026
At 10M a month$10.00$10.00$0$0
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-5.6 Luna Pro2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.20 out·1.1M·100% up
  • OpenAI$0.20 in·$1.20 out·1.1M·100% up
Pony Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.6 Luna Pro and Pony Alpha?

GPT-5.6 Luna Pro is developed by OpenAI while Pony Alpha is developed by OpenRouter. GPT-5.6 Luna Pro has a 1.1M token context window vs Pony Alpha's 200K. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Luna Pro or Pony Alpha?

It depends on your use case. GPT-5.6 Luna Pro and Pony Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.

How much does GPT-5.6 Luna Pro cost compared to Pony Alpha?

GPT-5.6 Luna Pro costs $1/M input tokens and Pony Alpha costs $0/M input tokens. Pony Alpha is $1.00/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-5.6 Luna Pro and Pony Alpha on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna Pro and Pony Alpha 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

  • GPT-5.6 Luna Pro58 outputs, specs and price
  • Pony Alpha47 outputs, specs and price
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