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  1. Home/
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  3. Ling 3.1 Flash vs Sherlock Think Alpha
Updated Oct 2026

Ling 3.1 Flash vs Sherlock Think Alpha

Ling 3.1 Flash 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
Ling 3.1 Flash
Loading the build
Sherlock Think Alpha

Which answer wins?

Written rounds

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

    Ling 3.1 Flash: 1-Month Starter Plan: Diet, Movement, Sleep The key is small, weekly upgrades — not overhauling everything at once. Pick one habit per area per week and build from there. 🥗 1. Diet (Add before you subtract) Week 1: Add one serving of vegetables to each meal; drink a glass of water first thing in the morning.

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

    Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.

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

    Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.

    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.

    Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…

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

    Ling 3.1 Flash: To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and a standard formula for the compute cost of transformer language model training.

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

    Ling 3.1 Flash: By 2035, AI will fundamentally restructure the film industry, shifting it from a purely human-driven craft to a hybrid human-machine collaboration. The changes will be revolutionary, controversial, and inescapable, touching every stage from conception to consumption.

    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.

    Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.

    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.

    Ling 3.1 Flash: The Setting: A virtual studio, rendered in hyper-realistic 4K. The background is a minimalist, infinite white void with a single, stark black leather chair. The date stamp reads October 2025.

    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.

    Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.

    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.

    Ling 3.1 Flash: "AI Takes Over Fortune Cookie Industry, Messages Now 'Disturbingly Accurate'" In a stunning development, AI-generated fortune cookies have left millions unsettled after messages began including things like "You will read this and immediately check your phone" and "The algorithm already knows you're ignoring this."

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

    Ling 3.1 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't eggs tell jokes?

    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
  • Three brothers, two sisters each. Count carefully.

    Ling 3.1 Flash: Sally has 1 sister. Here's why: Sally has 3 brothers, and each of those brothers has 2 sisters. Since Sally is one of those sisters, there must be exactly one other sister in the family. So Sally has 1 sister. (The family has 6 children total: 3 brothers, Sally, and 1 other 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

Ling 3.1 Flash and Sherlock Think Alpha compared across 34 shared prompts
SpecLing 3.1 FlashSherlock Think Alpha
Input priceFree—
Output priceFree—
Context window262K tokens—
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 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
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
Sherlock Think Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Ling 3.1 Flash and Sherlock Think Alpha?

Ling 3.1 Flash is developed by inclusionAI 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, Ling 3.1 Flash or Sherlock Think Alpha?

It depends on your use case. Ling 3.1 Flash 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 Ling 3.1 Flash and Sherlock Think Alpha on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash 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

  • Ling 3.1 Flash vs Mistral Large 4Landed Oct 2026
  • Sherlock Think Alpha vs GPT-6.1 SolLanded Sep 2026
  • Ling 3.1 Flash vs Claude Sonnet 5.5Landed Sep 2026
  • Sherlock Think Alpha vs Solar Mini 4Landed Sep 2026
  • Ling 3.1 Flash vs Qwen3.8 Max PrimeLanded Sep 2026
  • Sherlock Think Alpha vs GLM 5.3 PrimeLanded Sep 2026
  • Ling 3.1 Flash vs Qwen3.8 Omni FlashLanded Sep 2026
  • Sherlock Think Alpha vs Command A+Landed Sep 2026

Same lab, same size, long tail

  • Ling 3.1 Flash vs Ling 3.0 FlashSame lab
  • Ling 3.1 Flash vs Ling 3.0 Flash Fin (free)Same lab
  • Sherlock Think Alpha vs Ox AlphaSame lab
  • Sherlock Think Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Ling 3.1 Flash vs Gemma 3n 2BNew provider
  • Ling 3.1 Flash vs Gemma 3n 4BNew provider
  • Ling 3.1 Flash vs Gemma 4 26B A4BNew provider
  • Ling 3.1 Flash vs Gemma 4 31BSame size

Model pages

  • Ling 3.1 Flash58 outputs, specs and price
  • Sherlock Think Alpha35 outputs, specs and price
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