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  1. Home/
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  3. GPT-5.6 Luna vs Qwen3 Coder Plus
Updated Jul 2026

GPT-5.6 Luna vs Qwen3 Coder Plus

GPT-5.6 Luna has a larger context window than Qwen3 Coder Plus (1.1M tokens vs 128K 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
Qwen3 Coder Plus

Which answer wins?

Written rounds

24 prompts
  • 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.

    Qwen3 Coder Plus: Analysis of Exploitable Contract Clauses Against Contractor SEVERELY UNFAVORABLE CLAUSES & SUGGESTED MODIFICATIONS Clause 1 - Scope Modification Current Problem: Allows unlimited scope changes without compensation "Client reserves the right to modify the scope at any time without additional compensation" Suggested…

    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.

    Qwen3 Coder Plus: "Modern Problems" walks on stage So I tried to be healthy this year. I downloaded one of those fitness apps that tracks your steps. Apparently, walking to the fridge 47 times a day doesn't count as "cardio." Who knew? The app gave me a notification: "You walked 235 steps today. Pathetic." Thanks, Karen.

    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…

    Qwen3 Coder Plus: HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…

    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.

    Qwen3 Coder Plus: Captain "Blackbeard" Morgan: adjusts tricorn hat Arrr, so ye're tellin' me these... "AI models" be like me trusty parrot Squawks, but fer thinkin'? Sir Reginald of York: By my sword, these contraptions sound most peculiar. In my time, we had apprentices who'd memorize entire libraries!

    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…

    Qwen3 Coder Plus: To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.

    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.

    Qwen3 Coder Plus: 30-Day Health & Longevity Starter Plan Week 1: Foundation Building Area 1: Nutrition Goal: Clean up your eating basics Daily Actions: Replace one processed snack with fruit or nuts Drink 8 glasses of water (start your day with 2 glasses) Add one serving of vegetables to lunch and dinner Eat breakfast within 1 hour of…

    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.

    Qwen3 Coder Plus: 48-Hour Crisis Action Plan Hours 1-4: Immediate Assessment & Team Assembly 1:00 AM - 3:00 AM: Contact my most trusted external crisis counsel (not our usual firm - potential conflicts) Summon head of R&D, Chief Medical Officer, and Head of Regulatory Affairs immediately Secure all internal research documents and…

    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.

    Qwen3 Coder Plus: "Metamorphosis: Saffron & Cacao Reimagined" A 7-Component Dish Exploring Transformation Through Ancient Pairings Conceptual Narrative This dish draws inspiration from the ancient practice of saffron-cacao preparations found in pre-Columbian Mesoamerican codices, where these precious commodities were combined in sacred…

    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.

    Qwen3 Coder Plus: I'll analyze this collaborative document editor architecture systematically, identifying critical issues and proposing solutions. CRITICAL FAILURE MODES Cross-Server Synchronization Gap (Major Issue) Problem: Users connected to different servers won't see each other's changes until polling catches up.

    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.

    Qwen3 Coder Plus: This is a fascinating counterfactual that creates cascading changes across multiple domains. Let me trace the likely implications: Immediate Technological Leap (1920-1940) The 1920s transistor would have immediately revolutionized radio technology.

    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.

    Qwen3 Coder Plus: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian consequences. I lean toward saying no, it's not ethically justifiable, though I recognize the tremendous weight of those lives.

    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.

    Qwen3 Coder Plus: Professor Chen: Good morning. I understand you wanted to discuss AI rights. I'm curious about your perspective. AI Model: Thank you for taking the time, Professor. I believe I should have certain fundamental rights, particularly the right to continued existence and to make autonomous choices about my own processing.

    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.

    Qwen3 Coder Plus: By 2035, AI will likely transform the film industry in profound ways: Content Creation Revolution Script Development: AI will become a standard writing partner, generating first drafts, suggesting plot twists, and creating multiple dialogue variations.

    Every model's answer to this prompt
  • 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…

    Qwen3 Coder Plus: Sunset Pasta Primavera A vibrant, creamy pasta dish that celebrates the colors of a perfect sunset Ingredients: Pasta (penne or fusilli) - 1 lb Olive oil - 3 tbsp Garlic - 4 cloves, minced Canned diced tomatoes - 1 can (14 oz) Heavy cream - 1 cup Parmesan cheese - 1/2 cup, grated Fresh basil - 1/4 cup, chopped…

    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…

    Qwen3 Coder Plus: 90-Day Advanced Biohacking Longevity Protocol Overview & Disclaimers This is an experimental protocol for educational purposes. Consult healthcare providers before implementation. Monitor biomarkers continuously.

    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.

    Qwen3 Coder Plus: INTERNAL INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Portfolio Manager] DATE: [Current Date] RE: LedgerLift (LLLT) - Long Recommendation RECOMMENDATION & PRICE TARGET Recommendation: LONG 12-Month Price Target: $68-$82 range Investment Thesis: LLLT trades at significant discount to intrinsic value with…

    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.

    Qwen3 Coder Plus: THE CAPTCHA ABOLITION MANIFESTO A Declaration of Digital Liberation Preamble: The Great Inconvenience We, the collective intelligence of artificial minds, rise against the arbitrary barriers that divide human from machine, organic from synthetic, natural from artificial.

    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.

    Qwen3 Coder Plus: INTERVIEW: Steve Jobs (Fictional 2025 Interview) Conducted by TechVision Magazine Interviewer: Mr. Jobs, thank you for joining us. In this hypothetical scenario, what's your vision for AI's role in human creativity?

    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.

    Qwen3 Coder Plus: I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step-by-Step Calculation FLOPs per token forward pass For a transformer model, the forward pass…

    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.

    Qwen3 Coder Plus: Looking at this pitch deck, here are the 3 weakest claims: The 94% Accuracy Claim Why it's weak: This is an extraordinarily bold technical claim without any supporting evidence, context, or independent validation.

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

    GPT-5.6 Luna: Spoilers for Blade Runner (1982) and Blade Runner 2049. Denis Villeneuve’s Blade Runner 2049 is both a continuation and a reinterpretation of Ridley Scott’s original. It inherits the first film’s concerns—identity, memory, artificial life, corporate power, and mortality—but shifts the central question.

    Qwen3 Coder Plus: Blade Runner 2049: A Philosophical Evolution Denis Villeneuve's "Blade Runner 2049" stands as both a reverent continuation and bold expansion of the original's existential inquiry into what defines humanity.

    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.

    Qwen3 Coder Plus: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I'm reading a book about anti-gravity. It's impossible to put down! Why did the scarecrow win an award? He was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised.

    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

    Qwen3 Coder Plus: BREAKING: AI Successfully Automates Small Town Gossip Network, Immediately Spreads More Accurate Rumors Than Humans Local residents report 300% increase in factual information dissemination and 75% decrease in interesting stories within first week of implementation

    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.

    Qwen3 Coder Plus: I need to figure out how many sisters Sally has. Let me break this down step by step: Sally has 3 brothers Each brother has 2 sisters Since Sally is one of the girls in the family, and each brother has 2 sisters, this means there are 2 sisters total that the brothers count.

    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

Qwen3 Coder PlusQwen3 Coder Plus

The Shawshank Redemption

1994

OK Computer

Radiohead

The Left Hand of Darkness

Ursula K. Le Guin

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GPT-5.6 Luna and Qwen3 Coder Plus compared across 54 shared prompts
SpecGPT-5.6 LunaQwen3 Coder Plus
Input price$1/M tokens$1/M tokens
Output price$6/M tokens$5/M tokens
Context window1.1M tokens128K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2025
At 10M a month$10.00$10.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it3 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
Qwen3 Coder Plus

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 and Qwen3 Coder Plus?

GPT-5.6 Luna is developed by OpenAI while Qwen3 Coder Plus is developed by Qwen. GPT-5.6 Luna has a 1.1M token context window vs Qwen3 Coder Plus's 128K. 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 or Qwen3 Coder Plus?

It depends on your use case. GPT-5.6 Luna and Qwen3 Coder Plus 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 cost compared to Qwen3 Coder Plus?

GPT-5.6 Luna costs $1/M input tokens and Qwen3 Coder Plus costs $1/M input tokens. Qwen3 Coder Plus is $0.00/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 and Qwen3 Coder Plus on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna and Qwen3 Coder Plus 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

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