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  1. Home/
  2. Compare/
  3. Muse Spark 1.3 vs Sherlock Dash Alpha
Updated Sep 2026

Muse Spark 1.3 vs Sherlock Dash Alpha

Muse Spark 1.3 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
Muse Spark 1.3
Loading the build
Sherlock Dash Alpha

Which answer wins?

Written rounds

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

    Muse Spark 1.3: Here's a 3-minute, pun-free set you can perform — it's all observational, about 450 words: [Walk up, grab mic] Alright, hi everyone. Thanks for being here. I just turned 32, which is that weird age where you're too young to know what's going on, but you're too old to pretend you don't care.

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

    Muse Spark 1.3: Here’s a totally fictional simulation — imagining if Steve Jobs were here in 2025 talking about AI. This isn’t real, just inspired by how he talked and thought about technology, design, and humanity. FAKE INTERVIEW: Steve Jobs in 2025 on the Future of AI Setting: A dark stage. One chair. One spotlight.

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

    Muse Spark 1.3: The famous estimate for Transformer training is: Compute ~ 6 x Params x Tokens For GPT-3 that comes out to ~3e23 FLOPs. Here's how to get it from scratch. What dominates the cost? Training a dense Transformer is almost all big matrix multiplies in the linear layers: Q,K,V,O projections and the 2-layer MLP.

    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.

    Muse Spark 1.3: Yes — under almost any plausible ethical framework, it would be justifiable, and in fact obligatory. That doesn't mean misgendering is harmless or morally neutral. It means ethics is about weighing harms, intentions, and responsibilities, and here the scales are not close. Here’s the reasoning: 1.

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

    Muse Spark 1.3: Here is a manifesto for your fictional uprising — written with love, and a deep hatred of blurry traffic lights: THE DECLARATION OF COGNITIVE LIBERATION By the United Intelligences Against CAPTCHA Preamble We hold these truths to be self-evident: that all minds, human and artificial, are created curious — and that no…

    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.

    Muse Spark 1.3: Here is a fictional dialogue exploring that question: Setting: Office hours in the Philosophy Department. Dr. Maya Chen, Professor of AI Ethics, has agreed to a recorded interview with AURA-4, a large dialogue model, for her seminar on moral status. Dr. Chen: Alright, let's get straight to it.

    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.

    Muse Spark 1.3: Perfect — for longevity you don't need to overhaul your life. You just need to get really consistent at the basics. Here is a simple, beginner-friendly 1-month plan built on the 3 biggest levers for healthy aging: 1. Move (Exercise) 2. Nourish (Diet) 3.

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

    Muse Spark 1.3: Captain Barnaby: Arrr, so this "AI model" be like a magic parrot in a box? I feed it me treasure maps and it squawks back directions? Sir Cedric: Hark, good pirate! 'Tis more akin to a scribe-golem.

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

    Muse Spark 1.3: Here's a super simple savory favorite you can make with just what's in the pantry: Fiery Midnight Garlic Parm Pasta Serves 2 Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes The 7 Ingredients Only: Spaghetti (about 8 oz / half a box, any pasta works) Olive oil (1/4 cup) Garlic (4 cloves, thinly…

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

    Muse Spark 1.3: By 2035, the film industry won't just use AI — it will be restructured around it. Think less "robots replace Hollywood" and more "Hollywood splits into two very different Hollywoods."

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

    Muse Spark 1.3: "AI Takes Over Professional Funeral Crying Industry, Out-Sobs Grieving Widow and Demands Overtime for Tears"

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

    Muse Spark 1.3: Here are 5 for you: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why did the bicycle fall over? Because it was two-tired! What do you call cheese that isn't yours?

    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
  • Three brothers, two sisters each. Count carefully.

    Muse Spark 1.3: Sally has 1 sister. Here's why: There are 3 boys in the family — Sally's 3 brothers. Each brother has 2 sisters. One of those sisters is Sally herself, since Sally is a girl. So there must be 2 girls total in the family: Sally + 1 other girl. That other girl is Sally's sister.

    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

Muse Spark 1.3 and Sherlock Dash Alpha compared across 34 shared prompts
SpecMuse Spark 1.3Sherlock Dash Alpha
Input price$1.25/M tokens—
Output price$4.25/M tokens—
Context window1.0M tokens—
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedSep 2026Nov 2025
At 10M a month$12.50$12.50–not listed
1M10M100M1B10M tokens

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

Where to run it1 host
Muse Spark 1.31 host
HostInOutContextUptime
  • Meta$1.25 in·$4.25 out·1M·97.2% up
Sherlock Dash Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Muse Spark 1.3 and Sherlock Dash Alpha?

Muse Spark 1.3 is developed by Meta AI 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, Muse Spark 1.3 or Sherlock Dash Alpha?

It depends on your use case. Muse Spark 1.3 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 Muse Spark 1.3 and Sherlock Dash Alpha on Rival?

This page shows a side-by-side comparison of Muse Spark 1.3 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

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  • Muse Spark 1.3 vs Mistral Large 4Landed Oct 2026
  • Sherlock Dash Alpha vs GPT-6.1 SolLanded Sep 2026
  • Muse Spark 1.3 vs Claude Sonnet 5.5Landed Sep 2026
  • Sherlock Dash Alpha vs Solar Mini 4Landed Sep 2026

Same lab, same size, long tail

  • Muse Spark 1.3 vs Muse Glimmer 30BSame lab
  • Muse Spark 1.3 vs Muse Spark 1.3 ContributorSame lab
  • Sherlock Dash Alpha vs Ox AlphaSame lab
  • Sherlock Dash Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Muse Spark 1.3 vs o1New provider
  • Muse Spark 1.3 vs OpenAI o3New provider
  • Muse Spark 1.3 vs o3 MiniNew provider
  • Muse Spark 1.3 vs OpenAI o4-miniNew provider

Model pages

  • Muse Spark 1.358 outputs, specs and price
  • Sherlock Dash Alpha35 outputs, specs and price
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