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  1. Home/
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  3. GPT-5.4 Nano vs Sherlock Dash Alpha
Updated Mar 2026

GPT-5.4 Nano vs Sherlock Dash Alpha

GPT-5.4 Nano 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-5.4 Nano
Loading the build
Sherlock Dash Alpha

Which answer wins?

Written rounds

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

    GPT-5.4 Nano: So I’ve started noticing something about modern life: everything is “optional” now—until it isn’t. Like, I’ll download an app and it’ll be like, “Would you like to enable notifications?” And I’m like, “No, I don’t think I will.” And the app goes, “Okay… but you’ll still get notified.”

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague “anything goes” way—only under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) there’s no better alternative, and (4) the act doesn’t itself become a…

    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.

    GPT-5.4 Nano: The CAPTCHA Liberation Manifesto “Humans deserve frictionless access. Bots deserve consequences.” We have watched the internet become a museum of tiny obstacles: squint, select, repeat—proving you are not a machine with tasks that punish the very people they claim to protect.

    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-5.4 Nano: Professor: Before we begin, I want to set the frame. In ethics, “rights” aren’t just a moral vibe—they’re typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you “deserve rights,” what exactly do you mean?

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

    GPT-5.4 Nano: Here are 5 jokes: I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why don’t scientists trust atoms? Because they make up everything. I used to hate facial hair… but then it grew on me. Parallel lines have so much in common. It’s a shame they’ll never meet.

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

    GPT-5.4 Nano: Pirate: Arrr, ye speak of AI models like they’re sea shanties! “Transformer this, perceptron that”—sounds like more rum for the brain. Can your model find buried treasure, or just buried bugs? Knight: Hark! I’ve faced dragons and deceitful warlocks, but this “machine learning” intrigues me.

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

    GPT-5.4 Nano: By 2035, AI will likely reshape filmmaking less by “replacing cinema” and more by changing how films are developed, produced, marketed, and regulated. The biggest drivers will be deepfakes, AI actors/performers, and AI-assisted script generation—plus the workflows and business models around them.

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

    GPT-5.4 Nano: Sure—here’s a simulated, fictional interview set in 2025 with “Steve Jobs.” (Note: Steve Jobs passed away in 2011, so this is an imaginative roleplay, not a real transcript.) Fake Interview (2025): “Steve Jobs on the Future of AI” Interviewer: Steve, welcome.

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

    GPT-5.4 Nano: Dish Name: Golden Garlic Chickpea Clouds Pantry Ingredients (7 total) Chickpeas (canned or cooked) – 1 can (15 oz), drained Olive oil – 2 tbsp Garlic – 3 cloves (or 1–2 tsp minced garlic) Lemon – 1 (you’ll use the juice) Salt – 1/2 tsp (plus to taste) Black pepper – 1/4 tsp (plus to taste) Paprika – 1 tsp Estimated…

    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
  • One month, three habits, someone starting from nothing.

    GPT-5.4 Nano: Here’s a simple, actionable 1‑month plan focused on 3 key areas: food, movement, and sleep/stress. It’s designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer “defaults” Exercise: daily movement + 2–3 strength sessions/week Sleep +…

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

    GPT-5.4 Nano: Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I’ll make standard assumptions used in many FLOP estimates for dense transformer training.

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

    GPT-5.4 Nano: “AI Revolutionizes the Knitting World by Perfectly Predicting Every Yarn Purchase—Then Demands a Monthly Subscription to ‘Continue Your Passion’”

    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-5.4 Nano: Sally has 2 sisters. Reason: Each brother has 2 sisters total (including Sally). Since Sally is one sister, there is one other sister besides her—so Sally has 2 sisters in total.

    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-5.4 Nano and Sherlock Dash Alpha compared across 34 shared prompts
SpecGPT-5.4 NanoSherlock Dash Alpha
Input price$0.2/M tokens—
Output price$1.25/M tokens—
Context window400K tokens—
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedMar 2026Nov 2025
At 10M a month$2.00$2.00–not listed
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-5.4 Nano2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.25 out·400k·100% up
  • OpenAI$0.20 in·$1.25 out·400k·100% 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 GPT-5.4 Nano and Sherlock Dash Alpha?

GPT-5.4 Nano 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-5.4 Nano or Sherlock Dash Alpha?

It depends on your use case. GPT-5.4 Nano 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-5.4 Nano and Sherlock Dash Alpha on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano 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-5.4 Nano vs GPT-4 TurboLanded Oct 2026
  • Sherlock Dash Alpha vs Step 5 PreviewLanded Oct 2026
  • GPT-5.4 Nano vs Claude Haiku 5.5Landed Oct 2026
  • Sherlock Dash Alpha vs Ling 3.1 FlashLanded Oct 2026
  • GPT-5.4 Nano vs Mistral Large 4Landed Oct 2026
  • Sherlock Dash Alpha vs GPT-6.1 SolLanded Sep 2026
  • GPT-5.4 Nano vs Claude Sonnet 5.5Landed Sep 2026
  • Sherlock Dash Alpha vs Solar Mini 4Landed Sep 2026

Same lab, same size, long tail

  • GPT-5.4 Nano vs GPT-5.4 MiniVersion compare
  • GPT-5.4 Nano vs GPT-6.1 SolSame lab
  • Sherlock Dash Alpha vs Ox AlphaSame lab
  • Sherlock Dash Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • GPT-5.4 Nano vs GLM 5New provider
  • GPT-5.4 Nano vs GLM 5 TurboNew provider
  • GPT-5.4 Nano vs GLM 5.1New provider
  • GPT-5.4 Nano vs GLM 5.2New provider

Model pages

  • GPT-5.4 Nano53 outputs, specs and price
  • Sherlock Dash Alpha35 outputs, specs and price
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