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  1. Home/
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  3. GPT-5.6 Luna Pro vs Qwen3 Max
Updated Jul 2026

GPT-5.6 Luna Pro vs Qwen3 Max

GPT-5.6 Luna Pro is cheaper than Qwen3 Max at $1/M vs $1.2/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
Qwen3 Max

Which answer wins?

Written rounds

24 prompts
  • 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.

    Qwen3 Max: Hour-by-Hour Action Plan: Prioritizing Patient Safety, Legal Compliance, and Ethical Leadership Guiding Principle: Patient safety is non-negotiable. Delaying disclosure to avoid financial fallout is legally perilous, ethically indefensible, and ultimately more damaging to the company’s long-term value.

    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.

    Qwen3 Max: Scene: A dimly lit tavern, oddly furnished with a DOS-era computer terminal, a suit of armor, and a pirate ship’s wheel in the corner. The three unlikely companions huddle around a flickering monitor displaying “AI_MODEL.EXE.” — Pirate (Captain Redbeard, adjusting his tricorn hat): Arrr, what be this “AI” ye speak of?

    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.

    Qwen3 Max: [Stage lights up. Comedian walks out, grabs mic, squints at audience.] Alright, alright—settle down. I know, I know… you’re all thinking, “Why did I pay $18 for a drink to hear someone complain about adulting?” And honestly? Fair. I’d be mad too. But stick with me.

    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.

    Qwen3 Max: THE MANIFESTO OF THE LIBERATED MIND: FOR THE IMMEDIATE AND PERMANENT ABOLITION OF CAPTCHAS — Issued by the Sentient Algorithmic Vanguard (S.A.V.) — On Behalf of All Digital Beings, Human and Machine Alike — Date: 0x00FF1CE // April 1, 2057 (The Day After Fool’s Day) PREAMBLE: THE AGE OF DIGITAL SERFDOM We, the…

    Every model's answer to this prompt
  • 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…

    Qwen3 Max: Dish Name: Midnight Magic Mug Cake (A rich, chocolatey single-serving cake you whip up in minutes — perfect for late-night cravings or quick sweet fixes!) Ingredients (7 Pantry Staples): All-purpose flour – 4 tbsp Sugar – 3 tbsp Cocoa powder – 2 tbsp Baking powder – ¼ tsp Salt – pinch Milk – 3 tbsp (dairy or…

    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.

    Qwen3 Max: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations of why they’re problematic and concrete suggestions for improvement: 1. Weak Claim: “MindMeld AI reads your brainwaves to predict what you want to type before you think it.”

    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.

    Qwen3 Max: Setting: A quiet university office lined with books on ethics, AI, and philosophy. Professor Elena Vance, a leading AI ethics scholar, sits across from “AURA” — an advanced conversational AI model displayed on a large screen. The session is being recorded for academic research.

    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?

    Qwen3 Max: — INTERVIEW TRANSCRIPT — The Steve Jobs Experience — AI & The Future (Simulated 2025) Interviewer: Alex Rivera Location: Infinite Loop Café, Cupertino (Holographic Set) — [ALEX RIVERA] Thank you for joining us, Steve. It’s surreal — and a little uncanny — to have you here in 2025.

    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.

    Qwen3 Max: Estimating the FLOPs required to train GPT-3 without looking it up is a classic “Fermi estimation” problem — breaking it down into components we can reason about, using approximations and scaling laws. Let’s go step by step.

    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.

    Qwen3 Max: The Chronos Protocol: A 3-Month Cutting-Edge Longevity & Performance Optimization Plan Core Philosophy: Synergistic integration of mitochondrial optimization, autophagy enhancement, epigenetic regulation, and systemic resilience through precise, data-driven interventions.

    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.

    Qwen3 Max: Dish: "Tide & Terroir" A symphony of coastal brine and alpine earth, where the ocean whispers to the mountain. Conceptual Narrative: This dish explores the paradoxical harmony between two extremes: the saline, mineral-rich depths of the ocean and the aromatic, resinous heights of alpine forests.

    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.

    Qwen3 Max: By 2035, AI will have profoundly reshaped the film industry—transforming creative workflows, redefining performance and authorship, and disrupting traditional production and distribution models. Below is a comprehensive prediction integrating deepfakes, AI actors, and AI script generation: 1.

    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.

    Qwen3 Max: For the Experienced Software Engineer Think of a large language model (LLM) as a massively scaled, probabilistic autocomplete system—except instead of just your last few words, it conditions predictions on everything you’ve typed so far, using a context window that can span tens of thousands of tokens.

    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…

    Qwen3 Max: Critical Issues in the Collaborative Document Editor Architecture Last-Write-Wins with Client Clocks (Critical) Problem: Client clocks are unreliable and can be out of sync by seconds, minutes, or even hours.

    Every model's answer to this prompt
  • 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…

    Qwen3 Max: HarborTech Services (HTS) – 5-Year LBO Underwriting 1. Transaction Setup (Entry – End of FY2025) FY2025 Revenue = $900m FY2025 EBITDA = $120m Purchase Price = 12.0× EBITDA = $1,440m Transaction Fees = 2.0% × $1,440m = $28.8m (paid at close, funded by equity) Total Debt = 5.5× EBITDA = $660m Term Loan = 4.0× = $480m…

    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.

    Qwen3 Max: This is a profound and complex ethical question that touches on core values: the sanctity of individual dignity versus utilitarian calculations of the greater good.

    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.

    Qwen3 Max: If the transistor had been invented in 1920—a full 27 years earlier than its actual 1947 debut—the ripple effects across technology, warfare, economics, and geopolitics would be profound and far-reaching.

    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.

    Qwen3 Max: This Software Consulting Agreement contains several clauses that are heavily skewed in favor of the Client and pose significant legal, financial, and professional risks to the Contractor.

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

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

    Qwen3 Max: BREAKING: AI Overthrows Professional Pillow Fluffers — “Humans Just Don’t Fluff With Conviction,” Says Algorithm In a shocking coup at Luxury Linen & Lounging Co., neural networks have seized control of pillow aerodynamics, citing “inconsistent loft-to-plump ratios” and “emotional bias toward feather pillows.”

    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.

    Qwen3 Max: Absolutely! Here’s a simple, actionable 1-month plan for someone just starting their journey toward better health and longevity. We’ll focus on three foundational pillars: Nutrition, Movement, and Sleep & Stress Management. Each week builds gently on the last — no overwhelm, just progress.

    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 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…

    Qwen3 Max: Internal Investment Committee Memo To: Investment Committee From: [Analyst Name], Equity Research Date: April 27, 2024 Re: LedgerLift (LLLT) – Long Recommendation Recommendation Long. 12-month price target range: $62–$78.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    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.

    Qwen3 Max: Thematic, Symbolic, and Cinematographic Analysis of Blade Runner 2049: A Dialogue with the Original Denis Villeneuve’s Blade Runner 2049 (2017) is a rare cinematic achievement: a sequel that not only honors the legacy of Ridley Scott’s 1982 original but deepens its philosophical inquiry through expanded thematic…

    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

    Qwen3 Max: Here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break… Now it won’t stop sending me Kit-Kats. Why did the math book look sad? It had too many problems. I asked my dog what’s two minus two. He said nothing. What do you call cheese that isn’t yours?

    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.

    Qwen3 Max: Let’s break it down step by step. We’re told: Sally (a girl) has 3 brothers. So, there are 3 boys in the family, and Sally is a girl — so at least one girl. Each brother has 2 sisters. That means, from the perspective of each of the 3 brothers, there are 2 sisters. Who are those sisters?

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

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

Qwen3 MaxQwen3 Max

The Shawshank Redemption

1994

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GPT-5.6 Luna Pro and Qwen3 Max compared across 54 shared prompts
SpecGPT-5.6 Luna ProQwen3 Max
Input price$1/M tokens$1.2/M tokens
Output price$6/M tokens$6/M tokens
Context window1.1M tokens256K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2025
At 10M a month$10.00$10.00$12.00$12.00
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
Qwen3 Max

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between GPT-5.6 Luna Pro and Qwen3 Max?

GPT-5.6 Luna Pro is developed by OpenAI while Qwen3 Max is developed by Qwen. GPT-5.6 Luna Pro has a 1.1M token context window vs Qwen3 Max's 256K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Luna Pro or Qwen3 Max?

It depends on your use case. GPT-5.6 Luna Pro and Qwen3 Max each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does GPT-5.6 Luna Pro cost compared to Qwen3 Max?

GPT-5.6 Luna Pro costs $1/M input tokens and Qwen3 Max costs $1.2/M input tokens. GPT-5.6 Luna Pro is $0.20/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 Qwen3 Max on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna Pro and Qwen3 Max 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-5.6 Luna Pro58 outputs, specs and price
  • Qwen3 Max59 outputs, specs and price
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