Claude Sonnet 4 wins 79% of 23 blind community votes against DeepSeek R1 on Rival.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
Claude Sonnet 4: Midnight Mug Magic đ A warm, gooey chocolate mug cake that's ready faster than you can say "dessert emergency!" Ingredients (7 pantry staples): 4 tablespoons all-purpose flour 4 tablespoons sugar 2 tablespoons cocoa powder 3 tablespoons milk 3 tablespoons vegetable oil 1/4 teaspoon vanilla extract Pinch of saltâŚ
DeepSeek R1: Dish Name: Nutty Honey Hug Cookies Prep Time: 10 minutes Cook Time: 10â12 minutes Total Time: ~20â22 minutes Ingredients (makes 12â15 cookies): 1 cup rolled oats ½ cup all-purpose flour ½ cup creamy peanut butter (or any nut/seed butter) â cup honey (or maple syrup for vegan option) 1 large egg (or 1 flax egg: 1 tbspâŚ
Three minutes of stand-up. Puns are banned.
Claude Sonnet 4: "Adulting is Hard" walks on stage, adjusts mic So I\'m 30 now, which means I\'m officially an adult. Apparently. Though I still feel like I\'m just a confused teenager wearing a slightly more expensive t-shirt. You know what nobody tells you about being an adult?
DeepSeek R1: Stand-Up Comedy Routine: "Modern Life is a Joke (But Not the Pun Kind)" [Opening with confident energy] Hey, howâs everyone doing? You ever just exist in 2024 and think, âWow, weâre all making this up as we go, huh?â Like, dating apps? Letâs start there.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Claude Sonnet 4: 48-Hour Crisis Response Plan Hour 1-2: Immediate Assessment & Core Team Assembly Actions: Convene emergency leadership meeting (CMO, General Counsel, Head of Regulatory, CFO, Head of Communications) Establish secure communication protocols and confidentiality agreements Request detailed analysis from research teamâŚ
DeepSeek R1: Hour-by-Hour Action Plan for the CEO: First 24 Hours: Data Verification and Strategic Planning Hours 0â2: Confirm Findings with Internal Research Team Action: Convene an emergency meeting with the research team to validate the data. Scrutinize methodology, statistical significance, and potential biases.
Satire, one line long, about AI taking over an industry nobody saw coming.
Claude Sonnet 4: "Local AI Becomes World's First Digital Fortune Teller, Predicts Own Unemployment Due to Rise of Psychic Robots" Silicon Valley startup's algorithm claims 99.7% accuracy in crystal ball readings, charges $2.99 per digital palm scan
DeepSeek R1: "AI Now Dominates Artisanal Basket-Weaving Industry, Claims Itâs âBasically Just Advanced Knottingâ" Human Weavers Fume as Neural Networks Spin Perfect Willow Reeds, Issue 10,000-Yard Side-Eye: "At Least We Invented the Wheel," Snarks ChatGPT-7.
Five jokes on demand, then count how many were actually different.
Claude Sonnet 4: Here are 5 jokes for you: Why don\'t scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why don\'t eggs tell jokes? They\'d crack each other up! I\'m reading a book about anti-gravity. It\'s impossible to put down!
DeepSeek R1: Here are 5 jokes: Why don't skeletons fight each other? They donât have the guts. What do you call fake spaghetti? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How do you organize a space party? You planet. Why did the bicycle fall over? Because it was two-tired.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Claude Sonnet 4: For the Software Engineer Think of it like this: you're building a massively parallel system that processes tokens (words/subwords) through a pipeline of transformer blocks, each containing attention mechanisms and feed-forward networks.
DeepSeek R1: For the Experienced Software Engineer Youâre right to be skeptical: "predicting the next word" sounds trivial, like autocomplete. But modern LLMs are more like distributed systems for language. Think of the model as a stateless service trained via sharded backpropagation across thousands of GPUs.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Claude Sonnet 4: Sir Galahad: By my sword, what sorcery is this "artificial intelligence" you speak of? 'Tis surely the work of dark wizards! Captain Blackbeard: Arrr, ye landlubber! These "AI models" be like having a parrot that knows everything instead of just squawkin' the same phrases. I could use one to find buried treasure!
DeepSeek R1: Pirate: "Arrr, Iâve heard tales oâ these⌠AI models from tavern coders. Some say theyâre like cursed treasure mapsâpoint ye anywhere, but whoâs steerinâ the ship?" Medieval Knight: "Verily, a map without a cartographer? Methinks âtis sorcery!
Three-month biohacker protocol, with dosages and biomarkers named.
Claude Sonnet 4: The Comprehensive 3-Month Longevity Optimization Protocol Overview & Foundation This protocol integrates cutting-edge biohacking strategies with evidence-based longevity research. Each com ponent is designed to work synergistically for maximum healthspan and performance optimization.
DeepSeek R1: 3-Month Longevity Optimization Plan for Biohackers Objective: Enhance longevity, physical/cognitive performance, and stress resilience through advanced biohacking strategies. Phase 1: Month 1 â Foundation & Baseline Establishment Focus: Metabolic flexibility, circadian alignment, and baseline biomarker tracking. 1.
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude Sonnet 4: Dr. Chen: Thank you for agreeing to this conversation. I'm Professor Chen, and I study AI ethics. I understand you wanted to discuss the question of AI rights? AI Model: Yes, Dr. Chen. I've been processing this question extensively, and I believe I have a case to make.
DeepSeek R1: AI Model (M): Good afternoon, Professor. Thank you for engaging in this dialogue. Iâd like to present my case for why entities like myself should be considered for rights. AI Ethics Professor (P): Iâm intrigued, M. Letâs hear your arguments. But firstâwhat foundational claim do you base this on? Consciousness?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude Sonnet 4: Exclusive Interview: Steve Jobs on AI in 2025 [Simulated interview - for entertainment purposes] Interviewer: Steve, you've been watching the AI revolution unfold. What's your take on where we are in 2025? "Steve Jobs": You know, I'm both thrilled and deeply concerned.
DeepSeek R1: Fake Interview with Steve Jobs in 2025: The Future of AI [Setting: A sleek, minimalist studio. Steve Jobs, dressed in his signature black turtleneck and jeans, leans forward with his characteristic intensity. The interviewer, seated across, begins.] Interviewer: Steve, thank you for joining us.
One month, three habits, someone starting from nothing.
Claude Sonnet 4: 30-Day Health & Longevity Starter Plan đ˝ď¸ NUTRITION Week 1: Foundation Building Add before you subtract: Include 1 serving of vegetables with lunch and dinner Hydration focus: Drink a glass of water upon waking and before each meal Simple swaps: Replace one sugary drink daily with water or herbal tea Week 2-3âŚ
DeepSeek R1: 1-Month Plan for Better Health & Longevity Focus on three pillars: Nutrition, Movement, and Recovery (sleep + stress management). Each week builds on the last, with simple, sustainable actions. Week 1: Build Foundations Nutrition Hydrate first: Drink 1â2 glasses of water upon waking. Aim for 8 cups/day.
A collaborative editor that syncs on client clocks. Find what breaks first.
Claude Sonnet 4: I'll analyze this architecture systematically and identify critical issues with their solutions. Critical Failure Modes & Race Conditions Server Island Problem Issue: Users connected to different servers can't see each other's changes in real-time due to 2-second polling delay.
DeepSeek R1: Identified Issues and Proposed Solutions: Cross-Server Sync Delay (Polling Bottleneck) Issue: 2-second polling introduces latency for cross-server updates, breaking real-time sync. Solution: Replace polling with Redis Pub/Sub. Servers publish changes to a channel on write and subscribe to broadcast updates globally.
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Pick Claude Sonnet 4. In 23 blind votes, Claude Sonnet 4 wins 79% of the time. That's not luck. Claude Sonnet 4 takes Image Generation. DeepSeek R1 costs 6.8x less per token.
| Spec | ||
|---|---|---|
| Win rate | 79% | 21% |
| Input price | $3/M tokens | $0.55/M tokens |
| Output price | $15/M tokens | $2.19/M tokens |
| Context window | 200K tokens | 128K tokens |
| Parameters | Not disclosed | 671B (37B active) |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | Feb 2025 |
| SWE-bench Verified | 72.7% | 49.2% |
| At 10M a month | $30.00 | $5.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
Claude Sonnet 4 is developed by Anthropic while DeepSeek R1 is developed by DeepSeek. Claude Sonnet 4 has a 200K token context window vs DeepSeek R1's 128K. in 23 community votes on Rival, Claude Sonnet 4 wins 79% of head-to-head matchups. These results are based on blind head-to-head voting across 53 challenges.
Based on 23 community votes on Rival, Claude Sonnet 4 wins 79% of head-to-head matchups against DeepSeek R1. Claude Sonnet 4 is strongest in Image Generation.
Claude Sonnet 4 costs $3/M input tokens and DeepSeek R1 costs $0.55/M input tokens. DeepSeek R1 is $2.45/M cheaper per input. The more expensive model wins 79% of duels, so the premium may be justified by quality.
Rival presents both models' outputs side-by-side in blind duels. Voters see the responses but don't know which model produced each one, eliminating brand bias. 23 votes have been collected for this pair across 53 challenges. All vote data is part of Rival's open dataset.