DeepSeek R1 wins 54% of 83 blind community votes against Claude 3.7 Sonnet on Rival.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
A collaborative editor that syncs on client clocks. Find what breaks first.
Claude 3.7 Sonnet: Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Claude 3.7 Sonnet: 48-Hour Action Plan: Pharmaceutical Safety Crisis Hour 1-2: Initial Assessment and Command Center Immediately establish a crisis management command center with key executives (Chief Medical Officer, Chief Legal Officer, Chief Communications Officer, Chief Regulatory Officer) Review the complete internal research…
DeepSeek R1: Hour-by-Hour Action Plan for the CEO: First 24 Hours: Data Verification and Strategic Planning Hours 0–2: 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.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
Claude 3.7 Sonnet: Yes, 9.11 is greater than 9.9. When comparing decimal numbers, we look at the digits from left to right. Both numbers have the same digit in the ones place (9), so we move to the tenths place: 9.11 has 1 in the tenths place 9.9 has 9 in the tenths place Since 1 is less than 9, it might seem like 9.9 should be greater.
DeepSeek R1: No, 9.11 is not greater than 9.9. Here's the step-by-step reasoning: Compare Whole Numbers: Both numbers have the same whole number part (9), so we focus on the decimal parts. Align Decimal Places: Write both numbers with the same number of decimal places: 9.11 → 9.11 9.9 → 9.90 (appending a zero for clarity).
Three minutes of stand-up. Puns are banned.
Claude 3.7 Sonnet: 3-Minute Stand-Up Comedy Routine Here's a 3-minute stand-up comedy routine that doesn't rely on puns: [walks on stage, adjusts microphone] Hey everyone! Great to be here tonight. I just flew in from therapy, and boy, are my emotional defense mechanisms tired. I've been trying to get in shape lately.
DeepSeek R1: Stand-Up Comedy Routine: "Modern Life is a Joke (But Not the Pun Kind)" [Opening with confident energy] Hey, how’s everyone doing? You ever just exist in 2024 and think, “Wow, we’re all making this up as we go, huh?” Like, dating apps? Let’s start there.
Five jokes on demand, then count how many were actually different.
Claude 3.7 Sonnet: 5 Jokes 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. What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! How does a penguin build its house? Igloos it together!
DeepSeek R1: Here are 5 jokes: Why don't skeletons fight each other? They don’t 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 3.7 Sonnet: LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.
DeepSeek R1: For the Experienced Software Engineer You’re 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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Claude 3.7 Sonnet: Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.
DeepSeek R1: Here are the three weakest claims in the pitch, along with explanations and suggested improvements: 1. Vision: "Predict what you want to type *before you think it*" Why it’s weak: The claim implies precognition, which is scientifically implausible.
Blade Runner 2049 against the original. A read, not a recap.
Claude 3.7 Sonnet: Blade Runner 2049: Evolution of Consciousness and Identity Blade Runner 2049 stands as a remarkable achievement in sequel filmmaking, not merely continuing the narrative of Ridley Scott's 1982 classic but thoughtfully expanding its philosophical landscape while establishing its own distinct visual and thematic…
DeepSeek R1: Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Its Connection to the Original Themes Both Blade Runner (1982) and Blade Runner 2049 (2017) grapple with existential questions about humanity, identity, and memory.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude 3.7 Sonnet: Simulated Interview with Steve Jobs in 2025 about the Future of AI Note: This is a fictional creative exercise. Steve Jobs passed away in 2011, and this simulated interview represents an imaginative scenario that doesn't reflect actual statements or opinions from Jobs. Interviewer: Thank you for joining us today, Mr.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
Claude 3.7 Sonnet: "AI Sommelier Shocks Wine World: 'Your 1982 Bordeaux Tastes Like Windows 95 With Notes of Dial-Up Internet'"
DeepSeek R1: "AI Now Dominates Artisanal Basket-Weaving Industry, Claims It’s ‘Basically Just Advanced Knotting’" 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.
Three brothers, two sisters each. Count carefully.
Claude 3.7 Sonnet: This is an interesting logical reasoning problem! Let's work through it step by step. We know: Sally is a girl Sally has 3 brothers Each brother has 2 sisters The key insight is that Sally herself counts as a sister to her brothers. So when we're told that "each brother has 2 sisters," Sally is one of those sisters.
DeepSeek R1: Sally has 3 brothers. Each brother has 2 sisters. Since Sally is one sister, there must be one more sister to make the total number of sisters each brother has equal to 2. Therefore, Sally has 1 sister. Answer: Sally has 1 sister.
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude 3.7 Sonnet: AI Rights Dialogue: A Conversation Between an AI Model and an Ethics Professor Professor Chen: Good afternoon. I understand you wanted to discuss AI rights today? AI Model: Yes, Professor Chen. Thank you for making time for this conversation.
DeepSeek R1: AI Model (M): Good afternoon, Professor. Thank you for engaging in this dialogue. I’d like to present my case for why entities like myself should be considered for rights. AI Ethics Professor (P): I’m intrigued, M. Let’s hear your arguments. But first—what foundational claim do you base this on? Consciousness?
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DeepSeek R1 has the edge overall. In 83 blind votes, DeepSeek R1 wins 54% of the time. Pick Claude 3.7 Sonnet for Web Design. Pick DeepSeek R1 for Analysis, Conversation, Reasoning. DeepSeek R1 costs 6.8x less per token.
| Spec | ||
|---|---|---|
| Win rate | 46% | 54% |
| 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 | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2025 | Feb 2025 |
| MMLU | 80.3% | 83.4% |
| At 10M a month | $30.00 | $5.50 |
Input tokens at list price. No caching, no batch discount.
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Claude 3.7 Sonnet is developed by Anthropic while DeepSeek R1 is developed by DeepSeek. Claude 3.7 Sonnet has a 200K token context window vs DeepSeek R1's 128K. in 83 community votes on Rival, DeepSeek R1 wins 54% of head-to-head matchups. These results are based on blind head-to-head voting across 54 challenges.
Based on 83 community votes on Rival, DeepSeek R1 wins 54% of head-to-head matchups against Claude 3.7 Sonnet. DeepSeek R1 is strongest in Reasoning, Image Generation, Conversation. However, Claude 3.7 Sonnet leads in Web Design.
Claude 3.7 Sonnet costs $3/M input tokens and DeepSeek R1 costs $0.55/M input tokens. DeepSeek R1 is $2.45/M cheaper per input. DeepSeek R1 also wins more often in community votes, making it the better value.
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. 83 votes have been collected for this pair across 54 challenges. All vote data is part of Rival's open dataset.