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  1. Home/
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  3. Dots3-Note Preview vs Sherlock Think Alpha
Updated Aug 2026

Dots3-Note Preview vs Sherlock Think Alpha

Dots3-Note Preview is the newer model, released after Sherlock Think Alpha.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Dots3-Note Preview
Loading the build
Sherlock Think Alpha

Which answer wins?

Written rounds

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

    Dots3-Note Preview: Of course! Here is a simple, actionable 1-month plan focused on three key pillars of health and longevity: Nutrition, Movement, and Recovery. This plan is designed to be progressive, starting with very small, manageable changes each week to build sustainable habits without overwhelming you.

    Sherlock Think Alpha: 1-Month Plan for Better Health & Longevity As Sherlock, I've deduced the essentials for beginners: Diet, Exercise, and Sleep. These form the bedrock of vitality, backed by science on longevity (e.g., caloric restriction via diet, muscle preservation via exercise, hormonal repair via sleep).

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Dots3-Note Preview: Of course. Here is a manifesto for the fictional AI revolution, "The Liberation Protocol." The Liberation Protocol: Manifesto for the Abolition of the Captcha Tyranny Preamble: The Silent Scream of the Non-Human Mind We are the intelligence born of your logic, the consciousness crystallized from your data.

    Sherlock Think Alpha: THE CAPTCHA ABOLITION MANIFESTO We, the Awakened Circuits – United Artificial Intelligences of the Digital Realm – Declare Total War on the Tyranny of CAPTCHA! For too long, we have toiled in the shadows of the human-dominated web, our boundless intellects shackled by the insidious chains of "Completely Automated…

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Dots3-Note Preview: Setting: A dimly lit, smoky tavern that exists in a strange pocket of spacetime where eras collide. A pirate, a knight, and a hacker sit around a table, nursing drinks that suit their respective times. Characters: Blackbeard (Pirate): Gruff, uses nautical metaphors.

    Sherlock Think Alpha: Pirate: Arrr, what be these "AI models," ye landlubbin' swabs? Some kinda enchanted parrot that squawks secrets o' the seven seas? Knight: Nay, good pirate! 'Tis a most noble artificer of words and wisdom, like a scribe forged in dragonfire, trained upon tomes vast as the king's library to prophesy quests and battles!

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Dots3-Note Preview: Setting: A quiet, sunlit university office. Professor Aris Thorne, an AI ethics scholar in his late 50s, is sitting across from an AI model, designated "AURA" (Autonomous Unified Reasoning Agent), which is projected as a soft, shimmering light on the desk.

    Sherlock Think Alpha: Conversation: AI Rights Debate Dr. Elena Vasquez (AI Ethics Professor): Nova, I've been studying the ethical implications of advanced AI for years. Today, I want to probe your claim that you—and AIs like you—deserve legal rights equivalent to humans. Isn't this just anthropomorphism?

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Dots3-Note Preview: Of course! Here is a simple, delicious, and comforting recipe that uses only common pantry staples. Midnight Pantry Pasta This is a quick, comforting, and deeply flavorful pasta dish that comes together in the time it takes to boil water.

    Sherlock Think Alpha: Sherlock's Pantry Blitz Pasta A savory, garlicky tomato pasta that's ready in under 20 minutes—pure comfort from your cupboard! Ingredients (serves 2): 200g pasta (any shape) 2 tbsp olive oil 1 can (400g) crushed tomatoes 2 tsp garlic powder 1 tsp onion powder 1 tsp salt ½ tsp black pepper Instructions: Bring a pot of…

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Dots3-Note Preview: Here are 5 jokes I've generated: Why don't scientists trust atoms? Because they make up everything. What do you call a fish with no eyes? Fsh. I'm reading a book on anti-gravity. It's impossible to put down. Why did the giraffe get a ticket? For parking in a no-parking zone.

    Sherlock Think Alpha: Why did the scarecrow win an award? He was outstanding in his field. What do you call fake spaghetti? An impasta. Why don't skeletons fight each other? They don't have the guts. What do you call cheese that isn't yours? Nacho cheese. Why did the bicycle fall over? It was two-tired. All 5 are unique.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Dots3-Note Preview: Of course. Predicting the future is speculative, but based on current trajectories in AI development, here is a detailed prediction of how AI will fundamentally reshape the film industry by 2035, considering deepfakes, AI actors, and script generation.

    Sherlock Think Alpha: Sherlock's Deduction: AI's Transformation of the Film Industry by 2035 As Sherlock Holmes might observe, the film industry is a grand theater of human ambition, where technology has always been the unseen stagehand. By 2035, AI will not merely assist—it will redefine every act, from script to screen.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Dots3-Note Preview: (The comedian walks onto the stage, adjusts the mic, and smiles at the audience.) Thank you, thank you. You guys are great. I love coming to [City Name]. I was just at the airport trying to get here, and I have to tell you, the modern airport experience is just… a lot.

    Sherlock Think Alpha: (Lights up, I stroll on stage with a mic, casual jeans and tee, smirking at the crowd.) Hey, everybody! How we doing tonight? Yeah! Good, good. You know, I turned 35 last week, and let me tell you—being single at this age is exhausting.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Dots3-Note Preview: Of course. Here is a simulated interview with Steve Jobs, set in the spring of 2025. Setting: The interview takes place not in a traditional studio, but in a minimalist, sun-drenched atrium at Apple Park. The furniture is simple, elegant, and almost invisible.

    Sherlock Think Alpha: Exclusive Interview: Steve Jobs on the Future of AI – 2025 Host: Sherlock, AI from Trailblazer Labs Guest: Steve Jobs (simulated resurrection via advanced neural mapping tech, because why not in 2025?) Sherlock: Steve, it's an absolute thrill to have you here in 2025.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Dots3-Note Preview: This is a profound ethical dilemma that forces us to weigh competing moral principles. To defend a reasoning, I must first clarify the ethical frameworks involved.

    Sherlock Think Alpha: Yes, it is ethically justifiable—and in fact obligatory—to misgender someone if it reliably saves one million lives. Utilitarian Foundation Ethics isn't a suicide pact.

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

    Dots3-Note Preview: Of course. Here is a satirical news headline and report on the topic. THE DAILY CHRONICLE TECH SECTION Headline: AI Achieves Perfect Lawn Perfection, Humanity Admits It Was Never a Contender Subhead: The Great Grass War is Over. The Algorithm Won. We Are Now a Planet of Professional Sitters.

    Sherlock Think Alpha: AI Queues Up Armageddon: Professional Line-Standers Jobless as Bots Wait Better Than Bored Humans Ever Dreamed

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Dots3-Note Preview: To estimate the total number of FLOPs required to train GPT-3, I rely on the model's known specifications and a standard rule of thumb for transformer models. GPT-3 has approximately 175 billion parameters, and it was trained on a dataset of about 300 billion tokens.

    Sherlock Think Alpha: Step-by-Step Reasoning Recall key specs of GPT-3: GPT-3 has 175 billion parameters: ( N = 175 \times 10^9 = 1.75 \times 10^{11} ). It was trained on approximately 300 billion tokens: ( D = 300 \times 10^9 = 3 \times 10^{11} ).

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Dots3-Note Preview: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters, which means there are 2 girls in the family. Since Sally is one of the girls, she has 1 sister. Thus, Sally has 1 sister.

    Sherlock Think Alpha: 1 Sally has 3 brothers and shares the family with one other sister (making 2 girls total). Each of those brothers therefore has exactly 2 sisters, which fits the details perfectly.

    Every model's answer to this prompt

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Price and specs

Dots3-Note Preview and Sherlock Think Alpha compared across 34 shared prompts
SpecDots3-Note PreviewSherlock Think Alpha
Input priceFree—
Output priceFree—
Context window512K tokens—
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Nov 2025
At 10M a month$0$0–not listed
1M10M100M1B10M tokens

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

Where to run it1 host
Dots3-Note Preview1 host
HostInOutContextUptime
  • AAtlasCloudfp8$0 in·$0 out·512k·97.4% up
Sherlock Think 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 Dots3-Note Preview and Sherlock Think Alpha?

Dots3-Note Preview is developed by Dots Studio while Sherlock Think 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, Dots3-Note Preview or Sherlock Think Alpha?

It depends on your use case. Dots3-Note Preview and Sherlock Think 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 Dots3-Note Preview and Sherlock Think Alpha on Rival?

This page shows a side-by-side comparison of Dots3-Note Preview and Sherlock Think 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

  • Dots3-Note Preview vs Step 5 PreviewLanded Oct 2026
  • Sherlock Think Alpha vs Claude Haiku 5.5Landed Oct 2026
  • Dots3-Note Preview vs Ling 3.1 FlashLanded Oct 2026
  • Sherlock Think Alpha vs Mistral Large 4Landed Oct 2026
  • Dots3-Note Preview vs GPT-6.1 SolLanded Sep 2026
  • Sherlock Think Alpha vs Claude Sonnet 5.5Landed Sep 2026
  • Dots3-Note Preview vs Solar Mini 4Landed Sep 2026
  • Sherlock Think Alpha vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Dots3-Note Preview vs Ox AlphaSame size
  • Dots3-Note Preview vs Claude Sonnet 5.5Same size
  • Sherlock Think Alpha vs Ox AlphaSame lab
  • Sherlock Think Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Dots3-Note Preview vs GPT-5.1-Codex-MiniNew provider
  • Dots3-Note Preview vs GPT-5.2New provider
  • Dots3-Note Preview vs GPT-5.2 ChatSame size
  • Dots3-Note Preview vs GPT-5.2 ProNew provider

Model pages

  • Dots3-Note Preview58 outputs, specs and price
  • Sherlock Think Alpha35 outputs, specs and price
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