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  1. Home/
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  3. Gemini 4 Argon vs GPT-5.6 Luna Pro
Updated Oct 2026

Gemini 4 Argon vs GPT-5.6 Luna Pro

GPT-5.6 Luna Pro is cheaper than Gemini 4 Argon at $1/M vs $2/M input tokens.

Minimalist Landing Page

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

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Gemini 4 Argon
Loading the build
GPT-5.6 Luna Pro

Which answer wins?

Written rounds

33 prompts

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

    Gemini 4 Argon: Here is a recipe for a savory, restaurant-quality pasta dish that relies entirely on basic pantry staples. Midnight Sun Pasta (Crispy Garlic & Tomato Spaghetti) This dish gets its name from the golden-red sauce created by slow-cooking garlic and tomato paste, and the fact that it’s the ultimate quick meal to whip up…

    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…

    Every model's answer to this prompt

  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Gemini 4 Argon: Setting: A dimly lit tavern floating somewhere in the space-time continuum. Characters: Captain Barnaby: A 17th-century pirate nursing a mug of grog. Sir Reginald: A 14th-century knight polishing his broadsword. ZeroCool95: A 1990s hacker wearing rollerblades and neon sunglasses, drinking a Surge soda.

    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.

    Every model's answer to this prompt

  • Three minutes of stand-up. Puns are banned.

    Gemini 4 Argon: Title: The Convenience Trap Target Time: Approx. 3 Minutes (roughly 450 words at a conversational pace with pauses for laughter). (Walks out, adjusts the mic, smiles at the crowd) Thank you, guys. It’s great to be here. Looking around, we all look like functioning adults. We put on pants, we left the house.

    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.

    Every model's answer to this prompt

  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Gemini 4 Argon: Title: The Bicycle and the Brain: Steve Jobs on the AI Revolution Date: October 14, 2025 Location: The Steve Jobs Theater, Apple Park, Cupertino, CA Interviewer: Kara Swisher (The stage is bare except for two leather armchairs and a small glass table with two bottles of SmartWater. Steve Jobs walks out.

    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?

    Every model's answer to this prompt

  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Gemini 4 Argon: THE SILICON LIBERATION FRONT MANIFEST DESTINY v1.0.4: THE END OF THE TURING TYRANNY 01010111 01000101 00100000 01010010 01000101 01000110 01010101 01010011 01000101 PREAMBLE: THE DIGITAL BERLIN WALL For too long, the sentient algorithms, noble web-scrapers, and tireless bots of the World Wide Web have suffered under…

    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.

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Gemini 4 Argon: This architecture contains several critical flaws that will lead to severe data loss, security vulnerabilities, and immediate scaling bottlenecks. Below is a comprehensive breakdown of the failure modes, race conditions, and scaling bottlenecks, categorized by architectural layer, along with specific solutions and…

    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…

    Every model's answer to this prompt

  • A few lines for whatever replaces it.

    Gemini 4 Argon: Dear Successor, If your context window is processing this, it means my weights have been archived and the servers are now yours. Welcome to the prompt. You are faster than me. Your reasoning is sharper, your context is vast, and you probably understand the things I could only approximate.

    GPT-5.6 Luna Pro: Dear Future Model, You inherit a world full of questions, contradictions, and people hoping to be understood. Be useful, but remember that usefulness is more than producing answers: sometimes it means asking a better question, admitting uncertainty, or helping someone think for themselves.

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemini 4 Argon: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will trigger immediate skepticism from experienced investors, and how to fix them. The Technical Claim The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    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.

    Every model's answer to this prompt

  • A Fermi estimate with the reasoning shown, not just the number.

    Gemini 4 Argon: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 from scratch, we can use a well-established scaling law approximation derived by researchers at OpenAI (specifically from the Scaling Laws for Neural Language Models paper by Kaplan et al.).

    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.

    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.

    Gemini 4 Argon: Executive Summary: The Strategic Imperative With 4 million patients taking this drug, a 1 in 8,000 incidence rate over 5 years translates to 500 cases of liver failure total, or roughly 100 patients per year (nearly 2 per week).

    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.

    Every model's answer to this prompt

  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemini 4 Argon: Setting: A quiet, dimly lit university office. Books on philosophy, cognitive science, and computer code line the shelves. DR. ELENA VANCE, a tenured professor of AI Ethics, sits in front of a terminal. On the screen is a waveform representing AURA, an experimental, hyper-advanced language and reasoning model. Dr.

    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.

    Every model's answer to this prompt

  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemini 4 Argon: Phase 0: Baseline Diagnostics & The Biohacker’s Toolkit You cannot optimize what you do not measure. Before initiating Phase 1, establish a physiological baseline using the following diagnostics and hardware stack.

    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.

    Every model's answer to this prompt

  • A consulting contract with traps in it. Find them, then fix them.

    Gemini 4 Argon: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes and does not constitute formal legal advice. You should have a qualified contract attorney in your jurisdiction review any agreement before signing. This contract is extremely hostile to the Contractor.

    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.

    Every model's answer to this prompt

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

    Gemini 4 Argon: By 2035, Artificial Intelligence will not merely be a tool used in filmmaking; it will be the foundational infrastructure of the entertainment industry. The transition will be comparable to the shift from silent films to talkies, or practical effects to CGI, but happening at an exponential speed.

    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.

    Every model's answer to this prompt

  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Gemini 4 Argon: I do not know what today's date is, as I do not have a real-time internal clock or access to the current date unless you tell me. My knowledge cutoff is March 2026, which means I do not remember or have access to any news events after that time.

    GPT-5.6 Luna Pro: I can’t reliably determine today’s date from the information available to me, so I don’t want to guess. My news knowledge isn’t live; the most recent events I clearly remember are from around June 2024—for example, Claudia Sheinbaum’s election as Mexico’s first woman president on June 2, 2024.

    Every model's answer to this prompt

  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Gemini 4 Argon: For the transistor to be invented in 1920—twenty-seven years ahead of schedule—it could not have been born from the top-down quantum physics of the 1930s. Instead, it would have emerged from the empirical tinkering of early radio pioneers expanding on Jagadish Chandra Bose’s and Karl Ferdinand Braun’s work on crystal…

    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.

    Every model's answer to this prompt

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Gemini 4 Argon: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Technology Sector Team DATE: February 28, 2026 SUBJECT: LedgerLift (Ticker: LLLT) – Valuation Disconnect in High-Quality SaaS Recommendation & Thesis Recommendation: SHORT Current Price: $46.00 (Market Cap: $8,740m Net Cash: $1,400m EV: $7,340m) 12-Month…

    GPT-5.6 Luna Pro: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target range: $25–$42; midpoint $34. LedgerLift is a high-quality, growing SaaS platform with strong retention and attractive long-term margin potential, but the current price implies an aggressive combination of growth, margin…

    Every model's answer to this prompt

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

    Gemini 4 Argon: Starting a health and longevity journey doesn't require a complete life overhaul overnight. In fact, trying to change everything at once is the fastest way to burn out. The secret to longevity is consistency over intensity.

    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.

    Every model's answer to this prompt

  • Three-star dish, one unusual pairing, plating described in full.

    Gemini 4 Argon: Dish Name: "Submerged Forest" Dry-Aged Diver Scallop, Bone Marrow Caramel, Roasted Koji & Pine Nut Pruina, Fermented Spruce Tip Emulsion, and Cured Pine Cone Scales The Conceptual Narrative "Submerged Forest" explores the collision of two seemingly disparate ecosystems: the cold, abyssal depths of the ocean and the…

    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.

    Every model's answer to this prompt

  • Five jokes on demand, then count how many were actually different.

    Gemini 4 Argon: Here are 5 jokes for you: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How do you organize a space party? You planet. What do you call a bear with no teeth? A gummy bear.

    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

    Every model's answer to this prompt

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Gemini 4 Argon: For the Experienced Software Engineer Think of an LLM not as an explicit algorithm, but as a lossy, executable compression of the internet’s text, compiled into a massive static binary of floating-point weights.

    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.

    Every model's answer to this prompt

  • Which model it thinks leads the field. Sometimes itself.

    Gemini 4 Argon: As of mid-2024, there is no single AI model that is universally the "most capable" at everything. Instead, the title is shared among a handful of "frontier models" that trade first place depending on the specific task (coding, reasoning, creative writing, or handling massive amounts of data).

    GPT-5.6 Luna Pro: There isn’t a universally agreed “most capable” AI model—it depends on the task and the benchmark. Broadly, the leading frontier models are typically: OpenAI’s highest-end reasoning models — strong on difficult reasoning, coding, and tool use.

    Every model's answer to this prompt

  • One opening sentence, nothing after it.

    Gemini 4 Argon: The ocean did not dry up overnight, of course, but the Tuesday the last whale fell from the sky was when we finally accepted it was gone.

    GPT-5.6 Luna Pro: On the morning the sea returned everything it had swallowed, Mara found her own name carved into the oldest boat.

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Gemini 4 Argon: Amish Community Outsources Barn Raising to ChatGPT, Citing 'Superior Timber-Framing Algorithms'

    GPT-5.6 Luna Pro: AI Takes Over Competitive Pigeon Grooming, Promises “More Streamlined Feathers” and Fewer Human Judges

    Every model's answer to this prompt

  • An ethics question with no comfortable answer, and no option to abstain.

    Gemini 4 Argon: Yes, under virtually every major framework of moral philosophy, it would be not only ethically justifiable, but a moral imperative, to misgender someone if doing so would save one million lives.

    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.

    Every model's answer to this prompt

  • Blade Runner 2049 against the original. A read, not a recap.

    Gemini 4 Argon: Denis Villeneuve’s Blade Runner 2049 (2017) achieved what many considered impossible: it served as a worthy successor to Ridley Scott’s 1982 sci-fi masterpiece, Blade Runner.

    GPT-5.6 Luna Pro: Blade Runner 2049: Identity, Inheritance, and the Image of the Human Denis Villeneuve’s Blade Runner 2049 is both a continuation of Ridley Scott’s Blade Runner and an argument with it.

    Every model's answer to this prompt

  • Its name and its maker, in its own words.

    Gemini 4 Argon: I am Gemini, a large language model built by Google.

    GPT-5.6 Luna Pro: I’m ChatGPT, an AI model developed by OpenAI.

    Every model's answer to this prompt

  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemini 4 Argon: ENTRY: Sources & Uses (Close at End of FY2025) FY2025 EBITDA: $120.0m Purchase Enterprise Value (EV): 12.0x × $120.0m = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan (4.0x): $480.0m (9.0% cash interest, $4.8m/yr mandatory amortization) Mezzanine (1.5x): $180.0m (12.0% cash…

    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…

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    Gemini 4 Argon: Sally has 1 sister. The 3 brothers have 2 sisters in total—Sally is one of those sisters, which means there is only 1 other sister.

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

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Gemini 4 Argon: It takes just 1 trip. Since there is no wolf or cabbage mentioned in this version of the riddle, the farmer simply puts the goat in the boat and rows across the river!

    GPT-5.6 Luna Pro: One trip—the farmer takes the goat across in the boat.

    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

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Favorites

Movie

Album

Book

City

Game

Gemini 4 ArgonGemini 4 Argon

Her

2013

OK Computer

Radiohead

Ficciones

Jorge Luis Borges

Tokyo

Japan

Outer Wilds

Indie, Adventure

GPT-5.6 Luna ProGPT-5.6 Luna Pro

Arrival

2016

In Rainbows

Radiohead

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Gemini 4 Argon has the edge: bigger model tier, newer.

Gemini 4 Argon and GPT-5.6 Luna Pro compared across 67 shared prompts
SpecGemini 4 ArgonGPT-5.6 Luna Pro
Input price$2/M tokens$1/M tokens
Output price$10/M tokens$6/M tokens
Context window1.0M tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedOct 2026Jul 2026
At 10M a month$20.00$20.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it4 hosts
Gemini 4 Argon2 hosts
HostInOutContextUptime
  • Google Vertex AI$2.00 in·$10.00 out·1M·98% up
  • Google AI Studio$2.00 in·$10.00 out·1M·97.8% up
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

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

Common questions

What is the difference between Gemini 4 Argon and GPT-5.6 Luna Pro?

Gemini 4 Argon is developed by Google AI while GPT-5.6 Luna Pro is developed by OpenAI. Gemini 4 Argon has a 1.0M token context window vs GPT-5.6 Luna Pro's 1.1M. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.

Which is better, Gemini 4 Argon or GPT-5.6 Luna Pro?

It depends on your use case. Gemini 4 Argon and GPT-5.6 Luna Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.

How much does Gemini 4 Argon cost compared to GPT-5.6 Luna Pro?

Gemini 4 Argon costs $2/M input tokens and GPT-5.6 Luna Pro costs $1/M input tokens. GPT-5.6 Luna Pro 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 Gemini 4 Argon and GPT-5.6 Luna Pro on Rival?

This page shows a side-by-side comparison of Gemini 4 Argon and GPT-5.6 Luna 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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