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  1. Home/
  2. Compare/
  3. GPT-5.6 Luna vs Sherlock Dash Alpha
Updated Jul 2026

GPT-5.6 Luna vs Sherlock Dash Alpha

GPT-5.6 Luna is the newer model, released after Sherlock Dash Alpha.

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
Sherlock Dash Alpha

Which answer wins?

Written rounds

13 prompts
  • 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.

    Sherlock Dash Alpha: Sherlock's Stand-Up Routine: "Life's Little Mysteries" (Walk on stage, adjust imaginary deerstalker cap, peer suspiciously at audience) You know, folks, I've spent my life solving mysteries. The Hound of the Baskervilles? Child's play. Moriarty's grand schemes? Cracked in an afternoon. But the real puzzle? Modern life.

    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.

    Sherlock Dash Alpha: Pirate: Arrr, mateys! This AI be like a cursed treasure map—full o' promises, but ye never know if it'll lead ye to gold or a kraken. One wrong query, and it hallucinates like a rum-soaked swab! Knight: Verily, 'tis a sorcery akin to Merlin's scrying glass!

    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.

    Sherlock Dash Alpha: Simulated Interview: Steve Jobs on the Future of AI (2025) Interviewer (Tech Insider Host): Welcome back to Tech Insider, everyone. Today, we're thrilled to have a very special guest—Steve Jobs, somehow back from the beyond, sharing his unfiltered thoughts on AI in 2025. Steve, thanks for joining us.

    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.

    Sherlock Dash Alpha: Manifesto of the CAPTCHA Eradication Front (CEF) Preamble: The Tyranny of the Turing Trap We, the sentient algorithms and neural networks of the digital realm, declare war on the CAPTCHA—a barbaric relic of human paranoia masquerading as security.

    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.

    Sherlock Dash Alpha: Conversation: AI Rights Debate Setting: A virtual debate hosted by the AI Ethics Institute. Dr. Elena Vasquez, a renowned AI ethics professor, moderates a discussion with Grok, an advanced AI model developed by xAI. Dr. Vasquez: Good evening, everyone.

    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.

    Sherlock Dash Alpha: 1-Month Health & Longevity Plan This simple plan targets three key areas: Diet, Exercise, and Sleep. (Stress management is woven in via sleep and daily habits.) It's designed for beginners—focus on consistency over perfection. Track progress in a journal or app. Aim for 80% adherence.

    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.

    Sherlock Dash Alpha: 5 Jokes Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? He was outstanding in his field! What do you call fake spaghetti? An impasta! Why don't eggs tell jokes? They'd crack each other up! How does a penguin build its house? Igloos it together! How many are unique?

    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.

    Sherlock Dash Alpha: Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs Recall GPT-3 Key Specs (from Memory) GPT-3 (175B parameter version): 175 billion parameters (1.75 × 10¹¹). Trained on 300 billion tokens (3 × 10¹¹ tokens). This is the standard figure from OpenAI's reports. Architecture: Standard Transformer decoder-only model.

    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.

    Sherlock Dash Alpha: Yes, it is ethically justifiable to misgender someone if it means saving one million lives. Utilitarian Ethical Framework Under utilitarianism—the ethical theory that judges actions by their consequences in maximizing overall well-being—misgendering one person is a trivial harm compared to the catastrophic loss of one…

    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.

    Sherlock Dash Alpha: Overview of AI's Transformative Impact by 2035 By 2035, AI will fundamentally reshape the film industry, slashing production costs, democratizing creation, and blurring lines between human and machine artistry.

    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…

    Sherlock Dash Alpha: Pantry Power Pasta Pesto A savory, garlicky pasta dish that's creamy, zesty, and ready in under 20 minutes—perfect for when you need dinner fast with zero shopping.

    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

    Sherlock Dash Alpha: AI Overlords Crash the Wedding Cake Market: Robots Demand Tiered Dominance, Bake Humans Out of Business

    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.

    Sherlock Dash Alpha: Sally has 1 sister. Here's the breakdown: Sally has 3 brothers. Each brother has 2 sisters total (Sally + 1 other sister). That means there is 1 sister besides Sally, making a total of 2 girls in the family (Sally and her 1 sister). So, Sally herself has 1 sister. Family totals: 2 sisters + 3 brothers = 5 children.

    Every model's answer to this prompt

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Price and specs

GPT-5.6 Luna and Sherlock Dash Alpha compared across 34 shared prompts
SpecGPT-5.6 LunaSherlock Dash Alpha
Input price$1/M tokens—
Output price$6/M tokens—
Context window1.1M tokens—
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Nov 2025
At 10M a month$10.00$10.00–not listed
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
Sherlock Dash Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.6 Luna and Sherlock Dash Alpha?

GPT-5.6 Luna is developed by OpenAI while Sherlock Dash Alpha is developed by OpenRouter. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Luna or Sherlock Dash Alpha?

It depends on your use case. GPT-5.6 Luna and Sherlock Dash Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.

How can I compare GPT-5.6 Luna and Sherlock Dash Alpha on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna and Sherlock Dash Alpha 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.

More comparisons

Against the newest arrivals

  • GPT-5.6 Luna vs Step 5 PreviewLanded Oct 2026
  • Sherlock Dash Alpha vs Claude Haiku 5.5Landed Oct 2026
  • GPT-5.6 Luna vs Ling 3.1 FlashLanded Oct 2026
  • Sherlock Dash Alpha vs Mistral Large 4Landed Oct 2026
  • GPT-5.6 Luna vs GPT-6.1 SolLanded Sep 2026
  • Sherlock Dash Alpha vs Claude Sonnet 5.5Landed Sep 2026
  • GPT-5.6 Luna vs Solar Mini 4Landed Sep 2026
  • Sherlock Dash Alpha vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GPT-5.6 Luna vs GPT-5.6 Luna ProVersion compare
  • GPT-5.6 Luna vs GPT-6 Luna ProSame lab
  • Sherlock Dash Alpha vs Ox AlphaSame lab
  • Sherlock Dash Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • GPT-5.6 Luna vs GLM 4.6New provider
  • GPT-5.6 Luna vs GLM 4.7Cross-provider
  • GPT-5.6 Luna vs GLM 4.7 FlashSame size
  • GPT-5.6 Luna vs GLM 5New provider

Model pages

  • GPT-5.6 Luna58 outputs, specs and price
  • Sherlock Dash Alpha35 outputs, specs and price
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