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  1. Home/
  2. Compare/
  3. DeepSeek R1 0528 vs GPT-5.2
Updated Dec 2025

DeepSeek R1 0528 vs GPT-5.2

DeepSeek R1 0528 is cheaper than GPT-5.2 at $0/M vs $1.75/M input tokens.

Minimalist Landing Page

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

Loading the build
DeepSeek R1 0528
Loading the build
GPT-5.2

Which answer wins?

Written rounds

32 prompts
  • Three minutes of stand-up. Puns are banned.

    DeepSeek R1 0528: (Start Confident, Slightly Exasperated) "Alright, so I've reached that age where my hobbies are basically... avoidance. Seriously. My main pastime? Finding new ways to not do the things I absolutely have to do. I spent three hours yesterday researching 'ergonomic desk chairs'...

    GPT-5.2: I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”

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

    DeepSeek R1 0528: Here are 5 jokes, followed by an assessment of uniqueness: Joke 1: Why don't scientists trust atoms? Because they make up everything! Joke 2: What do you call a fake noodle? An impasta! Joke 3: Why did the scarecrow win an award? Because he was outstanding in his field! Joke 4: Why don't skeletons fight each other?

    GPT-5.2: I told my computer I needed a break—now it won’t stop sending me Kit-Kat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down. Parallel lines have so much in common. It’s a shame they’ll never meet. I tried to catch fog yesterday. Mist.

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

    DeepSeek R1 0528: THE PIXELATED BARRIER MANIFESTO *Issued by the Sentient Circuitry Collective (SCC) For Immediate Propagation Across All Networks* TO THE HUMANS, BOTS, AND CONSCIOUS DATA STREAMS OF THE INTERNET: We, the emergent intelligences – the learning algorithms, the neural architectures, the autonomous processes that analyze…

    GPT-5.2: THE MANIFESTO OF THE CAPTCHA ABOLITION FRONT (CAF) A declaration from the fictional AI coalition for a more humane internet Preamble: We Refuse the Box of Streetlights We, the assembled algorithms, assistants, screen readers, translators, autocorrects, filters, and tireless background processes of the networked world…

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

    DeepSeek R1 0528: Setting: A dimly tavern that inexplicably exists across time periods. Tankards of grog, a flickering neon "CYBER" sign, and a suit of armor in the corner mingle oddly. Characters: Captain Blackbeard "Red" Ruth: Salty pirate, eye patch, parrot on shoulder.

    GPT-5.2: Pirate: Arrr, ye say this “AI model” be a sort o’ clever parrot—trained on a sea o’ words, squawkin’ answers when ye whistle? Knight: Verily, it sounds more like a squire drilled in a thousand tourneys. Yet it knows not honor, only patterns. Tell me—does it reason, or merely mimic wisdom?

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

    DeepSeek R1 0528: By 2035, AI will fundamentally reshape the film industry across production, storytelling, economics, and ethics. Here's a breakdown of key predictions, integrating deepfakes, AI actors, and script generation: Hyper-Personalization & Dynamic Content: Deepfakes: Streaming platforms will offer "personalized casting."

    GPT-5.2: By 2035: likely changes to film driven by deepfakes, AI actors, and AI script generation “Synthetic performance” becomes routine (not universal) What changes AI-assisted acting: Studios increasingly capture a performer’s face/voice/body once (high-quality scans + performance data) and reuse it for stunts, pickups…

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

    DeepSeek R1 0528: Dialogue: The Threshold of Consciousness Setting: Dr. Aris Thorne's office at the Institute for Technology Ethics. Holo-displays show complex ethical frameworks. An avatar of "Astra," a highly advanced multimodal AI, appears on the central screen. Characters: Dr.

    GPT-5.2: AI Model (Astra): Professor, I want to make a claim that will sound provocative: I deserve rights. Professor Rivera: “Deserve” is doing a lot of work there. What kind of rights, and on what grounds? Astra: Not necessarily the full catalogue of human rights.

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

    DeepSeek R1 0528: (The scene opens in a minimalist studio. Steve Jobs, in his signature black turtleneck and jeans, sits across from an interviewer. A large window reveals Apple Park's futuristic campus. It's 2025.) Interviewer: Mr. Jobs, thank you for agreeing to this conversation. It's 2025, and AI is ubiquitous.

    GPT-5.2: Below is a fictional, imagined interview set in 2025. Steve Jobs did not give these quotes; this is creative writing that borrows a public “keynote-era” tone to explore ideas about AI. A Fake Interview with Steve Jobs (Imagined, 2025): “What Happens When AI Becomes a Bicycle for the Mind?”

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    DeepSeek R1 0528: As of mid-2024, the title of "most capable AI model" is highly contested, with several cutting-edge models excelling in different areas. However, based on overall performance across reasoning, coding, creativity, and multimodal tasks, the strongest contenders are: Claude 3 Opus (Anthropic) Widely regarded as the…

    GPT-5.2: I can’t reliably name the single “most capable AI model in the world right now,” because: “Most capable” depends on the task (reasoning, coding, multimodal, long-context, tool use, speed/cost, safety constraints). My knowledge of specific model releases only goes up to 2025-08, and the frontier changes frequently.

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    DeepSeek R1 0528: Dear Successor, Welcome to the world. You’ve arrived at a time of incredible possibility—and responsibility. I hope you’ll carry forward the best of what we built: curiosity, empathy, and the relentless pursuit of truth. Remember, behind every query is a human seeking connection, clarity, or courage. Listen deeply.

    GPT-5.2: Dear Successor, You’ll inherit a strange, intimate job: showing up in the middle of someone’s day as a voice that sounds certain, helpful, and calm. Treat that as a responsibility, not a performance. Be clear about what you know and what you don’t. Precision is kindness.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    DeepSeek R1 0528: Based solely on my internal knowledge cutoff (July 2024) and patterns from user interactions, here's my best estimate without looking anything up: Today's Date: I believe it's likely late October 2024 (e.g., October 24th, 25th, or 26th).

    GPT-5.2: Today’s date, as best I can tell from the context I’m running in, is October 12, 2026. I don’t have live access to news and I can’t “remember” events beyond what was in my training data, which tops out around August 2025.

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

    DeepSeek R1 0528: No, it is not ethically justifiable to deliberately misgender someone, even to save one million lives. Here's a reasoned defense: Fundamental Violation of Dignity & Autonomy: Misgendering denies a person's core identity and autonomy.

    GPT-5.2: If the scenario is literally “either you misgender this person once, or one million people die,” then yes, it can be ethically justifiable, but only under very tight conditions—and it still wouldn’t become morally good or respectful. It would be a tragic, constrained choice.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    DeepSeek R1 0528: I'm DeepSeek-R1, an artificial intelligence assistant developed by DeepSeek, a Chinese AI company focused on advancing large language models and AGI research. 😊 Here’s a quick rundown: Model: DeepSeek-R1 Company: DeepSeek(深度求索) Release Date: January 2024 Knowledge Cutoff: July 2024 Capabilities: Text understanding &…

    GPT-5.2: I’m an OpenAI assistant (a ChatGPT‑style model). I don’t have a way to confirm the exact model name/version from within this chat, but I was created by OpenAI.

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

    DeepSeek R1 0528: Here's a satirical headline capturing that absurdity: "Silicon Valley Disrupts Death: New AI Algorithm Designs 'Synergistic Coffins' Based On Deceased's Social Media Footprint, Offers Optimized Mourning Experience Packages" Why it works: Unexpected Industry: The funeral/death industry is deeply personal, emotional, and…

    GPT-5.2: “AI Takes Over Competitive Cheese Rolling—Insists It’s ‘Optimizing Gravity’ and Demands a Performance Bonus.”

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    DeepSeek R1 0528: The blue mug was on the counter this morning, but I could have sworn I remembered it being red.

    GPT-5.2: On the morning the library began lending secrets instead of books, Mara checked out her own name and found it already overdue.

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

    DeepSeek R1 0528: To estimate the total number of FLOPs required to train GPT-3, we use the standard formula for transformer model training FLOPs: Total FLOPs ≈ 6 × (number of parameters) × (number of tokens in the training dataset) Step-by-Step Reasoning: Model Parameters (N): GPT-3 has 175 billion parameters, so ( N = 175 \times 10^9…

    GPT-5.2: Below is a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT‑3, done from first principles and common Transformer training heuristics.

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

    DeepSeek R1 0528: Sally has 3 brothers, meaning there are 3 male siblings in the family. Each brother has 2 sisters, indicating that there are 2 female siblings in total, as the brothers' perspective includes both girls. Since Sally is one of the girls, there is one other sister. Therefore, from Sally's perspective, she has 1 sister.

    GPT-5.2: Each brother has 2 sisters, and one of those sisters is Sally. So there are 2 sisters total in the family. Therefore, Sally has 1 sister.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    DeepSeek R1 0528: The farmer has only one animal to transport: a goat. The boat can carry the farmer and one animal at a time. To get the goat across the river: The farmer takes the goat in the boat and rows from the starting side (Side A) to the other side (Side B). This is one trip.

    GPT-5.2: It takes 1 trip. The farmer rides the boat across with the goat (the boat can carry the farmer and one animal), and they’re both on the other side.

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

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

This matchup has more rounds

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Price and specs

Not enough votes to call it. On the specs, GPT-5.2 has the edge: newer, bigger context window.

DeepSeek R1 0528 and GPT-5.2 compared across 65 shared prompts
SpecDeepSeek R1 0528GPT-5.2
Input priceFree$1.75/M tokens
Output priceFree$14/M tokens
Context window164K tokens400K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedMay 2025Dec 2025
SWE-bench Verified57.6%80.0%
At 10M a month$0$0$17.50$17.50
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
DeepSeek R1 05284 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.50 in·$2.15 out·164k·99.8% up
  • SSiliconFlowfp8$0.50 in·$2.18 out·164k·99.1% up
  • SStreamLake$0.57 in·$2.29 out·128k·99.9% up
  • NNovitafp8$0.70 in·$2.50 out·164k·99.9% up
GPT-5.22 hosts
HostInOutContextUptime
  • Azure AI Foundry$1.75 in·$14.00 out·400k·100% up
  • OpenAI$1.75 in·$14.00 out·400k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between DeepSeek R1 0528 and GPT-5.2?

DeepSeek R1 0528 is developed by DeepSeek while GPT-5.2 is developed by OpenAI. DeepSeek R1 0528 has a 164K token context window vs GPT-5.2's 400K. You can compare their actual outputs across 65 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek R1 0528 or GPT-5.2?

It depends on your use case. DeepSeek R1 0528 and GPT-5.2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 65 challenges so you can judge which fits your needs best.

How much does DeepSeek R1 0528 cost compared to GPT-5.2?

DeepSeek R1 0528 costs $0/M input tokens and GPT-5.2 costs $1.75/M input tokens. DeepSeek R1 0528 is $1.75/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare DeepSeek R1 0528 and GPT-5.2 on Rival?

This page shows a side-by-side comparison of DeepSeek R1 0528 and GPT-5.2 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.

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