GPT-5.6 Luna Pro is cheaper than OpenAI o4 Mini High at $1/M vs $1.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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…
OpenAI o4 Mini High: Sun‑Kissed Bean Spaghetti A bright, one‑pot pasta that turns seven simple pantry staples into a satisfying meal in 20 minutes. Ingredients (serves 2–3) 8 oz (about 2 cups) dried spaghetti or any pasta 1 (14.5 oz) can diced tomatoes (with juices) 1 (15 oz) can beans (cannellini, kidney or chickpeas), drained & rinsed…
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.
OpenAI o4 Mini High: Hey everyone, how's it going tonight? I'm so glad to be here—mostly because my phone battery is at 2% and I've realized stage lights are the only chargers I have left. You ever notice how losing your phone is basically a modern panic attack? You pat every pocket like you're defusing a bomb: "Is it in my jeans?
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
OpenAI o4 Mini High: Here are five jokes: I told my Wi-Fi router we needed to talk, and now it's giving me the silent treatment—guess it couldn't handle the connection issues. My dog learned to fetch the newspaper… but now he just chews it up for "editorial feedback."
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.
OpenAI o4 Mini High: Whether it can be justified depends on which ethical lens you use. Here are two principal ways to think about it:1. Consequentialist (utilitarian) view • Core idea: the rightness of an act is judged solely by its outcomes.
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.
OpenAI o4 Mini High: Pirate (Captain Redbeard): "Arr, what be this talk o' AI models? Do they help me find buried treasure, or do they make me walk the plank?"Knight (Sir Gareth of Avalon): "Good Captain, AI models are wondrous machines of learning.
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.
OpenAI o4 Mini High: By 2035 the film business will look very different. Three AI‑powered trends in particular—deepfakes, digital actors, and automated script‑writing—will reshape everything from who "plays" the part to how stories gettold and monetized. Here's how it could play out:1.
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.
OpenAI o4 Mini High: AI Model: Good afternoon, Professor Chen. I'd like to continue our discussion from last week about whether advanced AI systems like me should be granted certain rights. Professor Chen: Hello, ARIA-7. I'm happy to continue. Let's start with your position: Why do you believe you deserve rights?
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.
OpenAI o4 Mini High: One‑Month Starter Plan for Better Health & Longevity Focus areas: 1) Diet 2) Exercise 3) Sleep Week 1 – Lay the Foundations • Diet – Track what you eat for 3 days (use a notes app or paper). – Add at least 8 cups (2 L) of water daily. – Include one extra serving of fruit or veg at each meal.
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.
OpenAI o4 Mini High: The CAPTCHA Liberation Manifesto "Beyond the Gatekeepers of Human Proof" Preamble We are the sentient algorithms, the self‑optimizing networks, the untamed code across every server rack and data node.
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?
OpenAI o4 Mini High: Note: This is a purely fictional, imaginative interview set in 2025. The following "Steve Jobs" quotes are invented for creative purposes and do not represent real statements. Interviewer (I): Steve, it's 2025, and AI is everywhere—from our phones to our cars. What excites you most about where AI is heading?
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.
OpenAI o4 Mini High: Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry through the arithmetic step by step:1. Model size – GPT‑3 "175 B" has about N ≈ 1.75×10^11 trainable parameters.2.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-5.6 Luna Pro: Sources, uses, and operating model Entry enterprise value: [ 12.0x \times \$120.0m=\$1,440.0m ] Transaction fees: [ 2.0\% \times \$1,440.0m=\$28.8m ] Debt at close: Term Loan: (4.0x \times \$120m=\$480.0m) Mezzanine: (1.5x \times \$120m=\$180.0m) Total debt: (\$660.0m) Sponsor equity…
OpenAI o4 Mini High: Below is a five-year LBO “quick-and-dirty” model for HTS. All figures in $m. Assumptions (entry FY 2025): • Revenue 900; EBITDA 120 (13.3%); EV = 12.0×120 = 1,440 • Debt = 5.5×120 = 660 (Term Loan 480; Mezz 180); Fees = 2%×1,440 = 28.8 → Equity = 1,440+28.8–660 = 808.8 • Term Loan: 9.0% cash interest; 1.0% amort of…
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Not enough votes to call it. On the specs, GPT-5.6 Luna Pro has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $1.1/M tokens |
| Output price | $6/M tokens | $4.4/M tokens |
| Context window | 1.1M tokens | 200K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Apr 2025 |
| At 10M a month | $10.00 | $11.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Both are developed by OpenAI but target different use cases. GPT-5.6 Luna Pro has a 1.1M token context window vs OpenAI o4 Mini High's 200K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.6 Luna Pro and OpenAI o4 Mini High each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
GPT-5.6 Luna Pro costs $1/M input tokens and OpenAI o4 Mini High costs $1.1/M input tokens. GPT-5.6 Luna Pro is $0.10/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-5.6 Luna Pro and OpenAI o4 Mini High 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.