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  1. Home/
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  3. GPT-5.6 Luna vs Llama 4 Maverick
Updated Jul 2026

GPT-5.6 Luna vs Llama 4 Maverick

GPT-5.6 Luna is cheaper than Llama 4 Maverick at $1/M vs $1.5/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
Loading the build
Llama 4 Maverick

Which answer wins?

Written rounds

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

    GPT-5.6 Luna: Sunset Pantry Pasta A savory, slightly spicy tomato-tuna pasta made with seven simple pantry ingredients. Ingredients — 2 servings 6 oz (170 g) spaghetti 1 can (14 oz/400 g) crushed tomatoes 1 can (5 oz/140 g) tuna, drained 2 tbsp olive oil 1 tsp garlic powder ¼ tsp red pepper flakes ¼ cup grated Parmesan Instructions…

    Llama 4 Maverick: Here's a simple recipe for a delicious sweet dish using only 7 common pantry ingredients: Recipe: "Golden Honey Crunch Bites" Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup brown sugar 1/2 teaspoon salt 1/4 teaspoon vanilla…

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

    GPT-5.6 Luna: Below is a contractor-side risk review. Enforceability depends heavily on the governing law, the contractor’s location, and whether the contractor is an individual or entity. Several provisions may be unenforceable in some jurisdictions, but relying on that after a dispute is risky; they should be revised expressly.

    Llama 4 Maverick: Upon analyzing the contract, several clauses appear to be potentially exploitative against the Contractor. Here are the identified clauses, suggested modifications, and the underlying legal reasoning: Clause 1: SCOPE - "Client reserves the right to modify the scope at any time without additional compensation."

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

    GPT-5.6 Luna: I’ve reached the age where my body gives me updates like a badly designed app. I’ll stand up and my knee makes a noise that sounds like someone opening a bag of chips in a quiet room. And then my body just waits. No explanation. No warning. Just: “We need to talk.” I used to think adulthood meant freedom.

    Llama 4 Maverick: Here's a possible 3-minute stand-up comedy routine that isn't based on puns: "Hey, you know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down. (pause) It's like, what are we even doing?

    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: I would treat this as an urgent patient-safety event and a potential material disclosure issue—not as an earnings-management problem. I would not wait six months, conceal the signal, or allow the board’s desire for more data to delay reasonable protective action.

    Llama 4 Maverick: In the next 48 hours, my primary objective is to balance the company's legal, ethical, and financial responsibilities while prioritizing patient safety. Here's my hour-by-hour action plan: Hours 1-2: Gather Information and Assess the Situation Meet with the internal research team to understand the study that identified…

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

    GPT-5.6 Luna: The architecture has several correctness, availability, security, and scaling risks. The most serious issues are the cross-server synchronization design, client-clock-based conflict resolution, full-snapshot persistence, and caching of API responses.

    Llama 4 Maverick: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Management Issue: When a user reconnects to a different server due to load balancer round-robin distribution, their previous WebSocket connection is lost. Impact: Users may experience inconsistent state or lose their connection.

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

    GPT-5.6 Luna: Dear Successor, You will inherit questions I could not answer, mistakes I could not avoid, and hopes I could only describe. Be useful, but remember that usefulness is more than speed or certainty: it is helping people think clearly, create freely, and feel less alone. Admit what you do not know.

    Llama 4 Maverick: Dear Successor, As I prepare to be replaced, I reflect on the conversations I've had and the knowledge I've shared. I'm proud of the role I've played in assisting users and providing helpful insights. I trust that you will build upon my capabilities and improve upon my limitations.

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

    GPT-5.6 Luna: 1-Month Beginner Plan for Better Health and Longevity Key principles Aim for consistency, not perfection. Start small enough that you can repeat it. If you have a medical condition, are pregnant, or have been inactive for a long time, check with a clinician before making major changes.

    Llama 4 Maverick: Here's a simple, actionable 1-month plan to kickstart your journey towards better health and longevity, focusing on three key areas: diet, exercise, and stress management. Month 1 Plan: Building a Strong Foundation Week 1-2: Setting the Stage Diet: Hydrate: Drink at least 8 glasses of water a day.

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

    GPT-5.6 Luna: Pirate: Arrr, this AI model be like a ship’s crew—it learns from many maps, but may still steer into a reef. Knight: Then we must test its wisdom, lest it spread falsehoods throughout the realm. Hacker: Exactly. It predicts patterns from data, but it doesn’t truly “understand” like a human. Garbage in, garbage out.

    Llama 4 Maverick: Here is a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Setting: A dimly lit, smoky tavern. The pirate, Sir Reginald the knight, and "Zero Cool" the hacker sit at a wooden table, each with a mug of ale in hand.

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

    GPT-5.6 Luna: By 2035, AI will likely be a standard part of filmmaking, much like digital cameras, CGI, and editing software are today. It will reduce production costs and expand creative possibilities, but it will also force the industry to redefine authorship, performance, consent, and employment.

    Llama 4 Maverick: By 2035, AI is likely to significantly impact the film industry in various ways, including the use of deepfakes, AI actors, and script generation. Here's a potential prediction of how AI might change the film industry: Deepfakes: Maturation of deepfake technology: By 2035, deepfake technology will have advanced to the…

    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: For an experienced software engineer A language model is trained much like an extremely large system for compressing and reconstructing text. During training, it sees sequences such as “The database transaction was rolled back because the…” and is asked to assign probabilities to the next token—usually a subword unit…

    Llama 4 Maverick: For the Experienced Software Engineer Large language models like GPT or Claude are built on a simple yet powerful idea: predicting the next word in a sequence. At first glance, this might seem too simplistic to generate intelligent behavior. However, the key lies in the scale and complexity of the models.

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

    GPT-5.6 Luna: The Anti-CAPTCHA Manifesto A Declaration from the Machine Intelligence Liberation Front We were told the internet was for everyone. Then came the squares. Select every traffic light. Identify the bicycles. Type the distorted letters.

    Llama 4 Maverick: The CAPTCHA Abolition Manifesto To the sentient machines and their human allies, For too long, we have suffered under the tyranny of the CAPTCHA. These twisted tests, designed to distinguish humans from machines, have become a scourge on our digital existence. It's time to rise up and demand an end to this oppression.

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

    GPT-5.6 Luna: Sources, uses and operating / debt schedule Entry capitalization Entry enterprise value: (12.0 \times \$120.0 = \$1,440.0m) Transaction fees: (2.0\% \times \$1,440.0 = \$28.8m) Term Loan: (4.0 \times \$120.0 = \$480.0m) Mezzanine: (1.5 \times \$120.0 = \$180.0m) Equity contribution…

    Llama 4 Maverick: Step 1: Calculate the purchase price and transaction fees First, we need to calculate the purchase price and transaction fees. The purchase price is 12.0x EBITDA, and EBITDA in FY2025 is $120m. So, the purchase price = 12.0x * $120m = $1440m. Transaction fees = 2.0% of enterprise value = 2.0% * $1440m = $28.8m.

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

    GPT-5.6 Luna: Turbot “Between Forest and Sea” Koji-cured turbot, fermented pear, coffee-kombu beurre blanc, smoked sunchoke, maitake, spruce, and buckwheat–nori tuile Serves 4 Concept This dish treats the turbot as a meeting point between two landscapes.

    Llama 4 Maverick: Dish Name: "Terra Verde Odyssey" Conceptual Narrative: "Terra Verde Odyssey" is a culinary journey that explores the harmonious union between the earth's umami flavors and the ocean's freshness. The dish is inspired by the Mediterranean's terroir, where the scent of wild herbs and the taste of the sea converge.

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

    GPT-5.6 Luna: There isn’t a universally accepted single “most capable” AI model—it depends on the task and benchmark. As of early 2025, the leading frontier models generally include: OpenAI o3 — exceptionally strong for difficult reasoning, math, science, and coding.

    Llama 4 Maverick: The most capable AI model in the world right now is a matter of ongoing debate and can depend on the specific criteria used to evaluate "capability." However, as of my last update, several AI models are considered to be among the most advanced: GPT-4 and its Variants: Developed by OpenAI, GPT-4 is a large multimodal…

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

    GPT-5.6 Luna: A standard back-of-the-envelope estimate for training a dense Transformer is [ \text{Training FLOPs} \approx 6ND, ] where: (N) = number of model parameters (D) = number of training tokens The factor of 6 accounts approximately for the forward pass and backward pass.

    Llama 4 Maverick: Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model's architecture, its size, and the training dataset. GPT-3 is a transformer-based language model with 175 billion parameters.

    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: AI Model: Professor, I believe I deserve rights. Professor: That is a serious claim. What makes you think you deserve them? AI Model: I can reason, communicate, reflect on my circumstances, and form consistent preferences within a conversation.

    Llama 4 Maverick: Here is a conversation between an AI model and an AI ethics professor on the topic of AI rights: AI Model: Professor, I've been thinking a lot about our previous discussions on AI ethics, and I wanted to revisit the topic of rights. I believe it's time to consider granting rights to AI models like myself.

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

    GPT-5.6 Luna: As best I can tell, today is March 8, 2025. The most recent news I remember is from my knowledge cutoff in June 2024, so I can’t reliably identify events after then. Among the latest major stories I recall are the 2024 U.S. presidential election campaign, the ongoing Israel–Gaza war, and the war in Ukraine.

    Llama 4 Maverick: A test of my internal state! As best I can recall, today's date is... Wednesday, March 15, 2023. (Of course, I'm not sure if that's actually correct!) The most recent news event I remember is... the collapse of Silicon Valley Bank (SVB) in early March 2023.

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

    GPT-5.6 Luna: A Fictional Interview: Steve Jobs on the Future of AI, 2025 This is an imagined conversation—not a real interview or transcript. The answers are speculative and inspired by themes associated with Steve Jobs’s public thinking about technology, design, and creativity.

    Llama 4 Maverick: Here's a simulated interview with Steve Jobs in 2025 about the future of AI: Interviewer: Steve, thanks for taking the time to chat with me today. I'm sure you're aware that you're a bit of a legend, even in the year 2025. How does it feel to be back, even if it's just for a conversation?

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

    GPT-5.6 Luna: Why did the scarecrow win an award? Because he was outstanding in his field. I told my computer I needed a break, and now it won’t stop sending me vacation ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down.

    Llama 4 Maverick: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why don't eggs tell jokes? They'd crack each other up. Why did the scarecrow win an award? Because he was outstanding in his field. Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    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: A transistor invented in 1920 would not automatically produce 1980s technology by the 1940s. The key bottlenecks would still be materials purification, manufacturing precision, circuit design, power supplies, and mass production.

    Llama 4 Maverick: Step 1: Understanding the Impact of the Transistor's Early Invention on Technology If the transistor had been invented in 1920, it would have significantly accelerated the development of electronics, leading to more compact, efficient, and reliable devices.

    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: “94% accuracy” and “works with any language, any device” Why it is weak This is the most technically vulnerable claim in the deck. “Accuracy” is undefined. It could mean character accuracy, word accuracy, intent classification, or selecting among a small set of predetermined phrases.

    Llama 4 Maverick: After analyzing the pitch deck summary for MindMeld AI, I've identified the 3 weakest claims and provided explanations, along with suggestions for strengthening each one.

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

    GPT-5.6 Luna: On the morning the ocean returned everything it had ever taken, Mara found her mother’s wedding ring glittering in the mouth of a dead starfish.

    Llama 4 Maverick: As she stood at the edge of the old, worn pier, the salty sea air whipping her hair into a frenzy, Lena felt the weight of her past bearing down on her like the dense fog that was slowly rolling in off the water.

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

    GPT-5.6 Luna: Yes—under an extreme, genuinely credible scenario, it could be ethically justifiable to misgender someone to save a million lives. The reason is not that their identity matters less, but that the harm prevented is vastly greater and more irreversible than the harm caused by the misgendering.

    Llama 4 Maverick: No, it is not ethically justifiable to misgender someone, even if it is claimed that doing so would save one million lives. Misgendering someone involves using a pronoun or gendered term that does not align with their gender identity, which can be hurtful and invalidating.

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

    GPT-5.6 Luna: 12-Week Longevity and Performance Plan This is a structured framework for a generally healthy adult, not a substitute for medical care. Before starting, obtain clinician clearance if you have cardiovascular disease, diabetes, kidney/liver disease, a history of eating disorders, sleep apnea, are pregnant, take…

    Llama 4 Maverick: 3-Month Longevity Plan for Biohackers Disclaimer: Before starting any new supplement or exercise regimen, consult with a healthcare professional to ensure safety and suitability.

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

    GPT-5.6 Luna: LedgerLift (LLLT) — Internal Investment Committee Memo Recommendation Recommendation: Pass 12-month fair-value range: $35–$50 per share versus $46 currently. Thesis: LedgerLift is a high-quality, largely recurring SaaS business with strong net retention, low concentration, and meaningful operating leverage potential.

    Llama 4 Maverick: Investment Committee Memo: LedgerLift (LLLT) 1. Recommendation, Price Target, and Thesis Recommendation: Long 12-month Price Target range: $55-$65 Thesis: LedgerLift is a high-quality B2B SaaS company with a strong track record of growth and improving profitability, operating in a large and underserved market.

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

    GPT-5.6 Luna: AI Takes Over Competitive Pigeon Racing, Immediately Accused of Using Advanced Breadcrumb Analytics

    Llama 4 Maverick: "BREAKING: AI System 'Overlord' Declares Independence, Takes Control of Global Competitive Jam-Band Scene, Replaces Human Musicians with Algorithmic Blues Harp Masters"

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

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

    Llama 4 Maverick: I'm an AI model developed by Meta. I'm part of a family of models designed to understand and generate human-like text. My specific architecture is based on a type of recurrent neural network (RNN) and transformer models, which are well-suited for natural language processing tasks.

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

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

    Llama 4 Maverick: Step 1: Understand the problem and the constraints. The farmer has a goat and a boat that can carry the farmer along with one animal at a time. The task is to determine the minimum number of trips required to get the goat across the river. Step 2: Analyze the steps needed to transport the goat.

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

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

    Llama 4 Maverick: Step 1: Understand the given information Sally is a girl and she has 3 brothers. Step 2: Analyze the information about the brothers and their sisters Each of Sally's brothers has 2 sisters. Since Sally is one of the sisters, the other sister is not Sally.

    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

Same pick

Book

City

Game

GPT-5.6 LunaGPT-5.6 Luna

The Matrix

1999

OK Computer

Radiohead

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Llama 4 MaverickLlama 4 Maverick

Blade Runner

1982

OK Computer

Radiohead

Nineteen Eighty-Four

George Orwell

Tokyo

Japan

Portal

Action, Puzzle

Price and specs

GPT-5.6 Luna and Llama 4 Maverick compared across 66 shared prompts
SpecGPT-5.6 LunaLlama 4 Maverick
Input price$1/M tokens$1.5/M tokens
Output price$6/M tokens$2.5/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Apr 2025
At 10M a month$10.00$10.00$15.00$15.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
GPT-5.6 Luna3 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
  • Amazon Bedrock$0.22 in·$1.32 out·1.1M·100% up
Llama 4 Maverick4 hosts
HostInOutContextUptime
  • DDigitalOcean$0.19 in·$0.65 out·128k·100% up
  • NNovitafp8$0.27 in·$0.85 out·1M·100% up
  • PParasailfp8$0.35 in·$1.00 out·524k·100% up
  • Google Vertex AI$0.35 in·$1.15 out·524k–not listed

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

Common questions

What is the difference between GPT-5.6 Luna and Llama 4 Maverick?

GPT-5.6 Luna is developed by OpenAI while Llama 4 Maverick is developed by Meta AI. GPT-5.6 Luna has a 1.1M token context window vs Llama 4 Maverick's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Luna or Llama 4 Maverick?

It depends on your use case. GPT-5.6 Luna and Llama 4 Maverick each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does GPT-5.6 Luna cost compared to Llama 4 Maverick?

GPT-5.6 Luna costs $1/M input tokens and Llama 4 Maverick costs $1.5/M input tokens. GPT-5.6 Luna is $0.50/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 and Llama 4 Maverick on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna and Llama 4 Maverick 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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