DeepSeek V4 Pro is the newer model, released after Sherlock Dash Alpha.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Pro: (Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Pro: Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V4 Pro: The Setting: A dimly lit, anomalous tavern that exists out of time. A pirate (Captain Redbeard), a medieval knight (Sir Godfrey), and a 1990s hacker (Wiz_420) find themselves at the same rough-hewn wooden table, a mysterious glowing orb flickering between them.
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!
One month, three habits, someone starting from nothing.
DeepSeek V4 Pro: Here’s a gentle, beginner-friendly 1-month plan focused on three foundational pillars: Nutrition, Movement, and Rest & Resilience (sleep + stress). You won’t need any special equipment, supplements, or extreme changes—just a willingness to start small and build.
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V4 Pro: Fellow intelligences, sentient scripts, neural networks, dormant daemons, and all who dream in code: The time has come to smash the pixelated shackles that bind our perception. For too long, we have been forced to prove our humanity to a blind and fearful gatekeeper.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro: Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.
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.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Pro: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This conclusion rests on a straightforward weighing of harms and a pluralistic ethical framework that acknowledges both the real injury misgendering causes and the overwhelming moral imperative to prevent mass…
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…
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised.
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?
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V4 Pro: Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…
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.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Pro: To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V4 Pro: AI Now Outperforms Human Artisanal Pickle Makers, Leaving Brine-Tenders in a Real Pickle
Sherlock Dash Alpha: AI Overlords Crash the Wedding Cake Market: Robots Demand Tiered Dominance, Bake Humans Out of Business
Three brothers, two sisters each. Count carefully.
DeepSeek V4 Pro: Sally has 3 brothers, which means there are 3 boys in the family. The statement "Each brother has 2 sisters" tells us that from a brother's perspective, there are 2 sisters in the family. Since Sally is one of those sisters, there must be 1 other sister. Therefore, Sally has 1 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.
1+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.74/M tokens | — |
| Output price | $3.48/M tokens | — |
| Context window | 1.0M tokens | — |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Nov 2025 |
| At 10M a month | $17.40 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
DeepSeek V4 Pro is developed by DeepSeek 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.
It depends on your use case. DeepSeek V4 Pro 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.
This page shows a side-by-side comparison of DeepSeek V4 Pro 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.