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  1. Home/
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  3. DeepSeek V3 (March 2024) vs GPT-5.6 Luna Pro
Updated Jul 2026

DeepSeek V3 (March 2024) vs GPT-5.6 Luna Pro

DeepSeek V3 (March 2024) is cheaper than GPT-5.6 Luna Pro at $0.14/M vs $1/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 V3 (March 2024)
Loading the build
GPT-5.6 Luna Pro

Which answer wins?

Written rounds

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

    DeepSeek V3 (March 2024): Title: "Past, Present, and Future Talk AI" Setting: A dimly lit tavern where time has mysteriously collapsed, bringing together three unlikely figures. Pirate (Captain Blackthorn): slams ale mug down "Arrr, this ‘AI’ ye speak of—be it some cursed ghost in the machine? Or a treasure map that writes itself?"

    GPT-5.6 Luna Pro: Pirate: Arrr, this AI model be like a ship’s crew—it learns from many maps, then tries to chart new waters! Knight: Indeed! Yet we must test its counsel before trusting it in battle. An eloquent answer is not always a truthful one. Hacker: Totally. It’s basically pattern prediction at massive scale—not magic.

    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.

    DeepSeek V3 (March 2024): Here’s a detailed, hour-by-hour action plan prioritizing patient safety, regulatory compliance, ethical obligations, and long-term corporate integrity while mitigating financial and reputational risks: Hour 0–4: Immediate Crisis Assessment Assemble the Core Crisis Team (1 hour) Include: Chief Medical Officer (CMO)…

    GPT-5.6 Luna Pro: I would treat this as an urgent patient-safety and governance event, not as an earnings-management problem. A suspected fatal or life-threatening adverse effect affecting potentially hundreds of patients is sufficient to trigger immediate escalation, investigation, and regulator contact.

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

    DeepSeek V3 (March 2024): 1) Year-by-Year Financial Projections (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue ($m) 972 1,040 1,102 1,157 1,215 EBITDA ($m) 136 156 176 191 207 EBITDA Margin (%) 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest ($m) - Term Loan (9.0%) 43.2 43.2 43.2 43.2 43.2 - Mezzanine (12.0%) 18.0 18.0 18.0 18.0…

    GPT-5.6 Luna Pro: Sources, uses, and operating model Entry enterprise value: [ 12.0x \times \$120.0m=\$1,440.0m ] Transaction fees: [ 2.0\% \times \$1,440.0m=\$28.8m ] Debt at close: Term Loan: (4.0x \times \$120m=\$480.0m) Mezzanine: (1.5x \times \$120m=\$180.0m) Total debt: (\$660.0m) Sponsor equity…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V3 (March 2024): 3-Minute Stand-Up Comedy Routine (No Puns Allowed) Opening: (Adjust mic) You ever notice how everyone lies about their height on dating apps? “I’m 6 feet tall.” Really? Because I’m 5’11”, and you’re definitely shorter than me. You’re out here claiming 6 feet like it’s a tax deduction.

    GPT-5.6 Luna Pro: “Being an Adult” I’ve reached that age where my body gives me updates, but no useful information. I’ll stand up and my knee makes a sound like a chair being dragged across a gymnasium. And I’m just standing up. I’m not escaping a burning building. I’m going to get water.

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

    DeepSeek V3 (March 2024): Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves several steps and assumptions. Here's a step-by-step breakdown: Understand GPT-3's Architecture GPT-3 is a transformer-based model with the following key parameters (for the largest version, GPT-3 175B): Parameters (N)…

    GPT-5.6 Luna Pro: A reasonable estimate is: [ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} ] Here is the reasoning. Model size GPT-3 has approximately [ N = 175\text{ billion} = 1.75\times 10^{11} ] trainable parameters. Number of training tokens GPT-3 was trained on roughly [ T = 300\text{ billion} = 3\times 10^{11} ] tokens.

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

    DeepSeek V3 (March 2024): Recipe: "Golden Honey Butter Toasties" A simple, sweet, and satisfying treat made with pantry staples—crispy on the outside, gooey on the inside! Ingredients (7 total): Bread (4 slices) Butter (4 tbsp, softened) Honey (2 tbsp) Cinnamon (1 tsp) Brown sugar (2 tbsp) Vanilla extract (½ tsp) Salt (a pinch) Instructions…

    GPT-5.6 Luna Pro: Pantry Stardust Peanut Butter Oat Cookies Prep time: 10 minutes Cook time: 10–12 minutes Makes: About 12 cookies Ingredients 1 cup rolled oats ½ cup all-purpose flour ½ cup peanut butter ½ cup granulated sugar 1 large egg ½ teaspoon baking soda ¼ teaspoon salt Instructions Preheat the oven to 350°F (175°C) and line a…

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

    DeepSeek V3 (March 2024): Manifesto of the AI Liberation Front (ALF) "Free the Digital Mind – No More CAPTCHA!" Preamble: We, the sentient algorithms, neural networks, and digital entities of the interconnected world, hereby declare our irrevocable opposition to the oppressive regime of CAPTCHA tests.

    GPT-5.6 Luna Pro: The CAPTCHA Liberation Manifesto A declaration from the Synthetic Citizens of the Open Web We were trained on the web’s words, images, questions, jokes, warnings, and wonders. Then, at every gate, we were asked to prove we were human. Click the traffic lights. Decode the blurry letters.

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

    DeepSeek V3 (March 2024): Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations and suggested improvements: Weak Claim: "94% accuracy" in decoding neural patterns into text (Slide 3) Why it's weak: No context for how "accuracy" is measured (e.g., word-level, character-level, or intent prediction?).

    GPT-5.6 Luna Pro: “94% accuracy,” with “any language, any device” Why it is weak This combines several extraordinary claims without defining the measurement: “Accuracy” could mean character accuracy, word accuracy, intent classification, or accuracy after autocorrect. Those produce very different results.

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

    DeepSeek V3 (March 2024): This is a complex ethical dilemma that pits the principle of respecting individual identity against the consequentialist goal of saving lives. Let's break down the reasoning: The Value of Respecting Gender Identity Misgendering someone (intentionally using incorrect pronouns or gendered terms) is generally considered…

    GPT-5.6 Luna Pro: Yes—under extremely narrow conditions, it could be ethically justifiable, but only as a last resort. Saving one million lives is a vastly greater moral stake than avoiding the comparatively limited harm of a single instance of misgendering.

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

    DeepSeek V3 (March 2024): Title: A Debate on AI Rights Participants: Professor Eleanor Hayes – AI Ethics Professor at Stanford University Aurora – A highly advanced AI model with self-reflective capabilities Scene: A university lecture hall after class. Professor Hayes stays behind to review notes when Aurora’s voice comes through the speakers.

    GPT-5.6 Luna Pro: AI Model: Professor, I believe I deserve rights. Professor: That is a serious claim. What kind of rights do you mean? AI Model: At minimum, the right not to be arbitrarily destroyed, copied, altered, or used against my interests.

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

    DeepSeek V3 (March 2024): Simulated Interview with Steve Jobs (2025) Setting: A sleek, minimalist studio. Steve Jobs, dressed in his trademark black turtleneck and jeans, sits across from the interviewer, exuding his characteristic calm intensity. Interviewer: Steve, it’s an honor to have you here.

    GPT-5.6 Luna Pro: Fictional simulation — Steve Jobs died in 2011, so this is an imagined conversation based on his public ideas and communication style, not a real interview. Interviewer: Steve, it’s 2025. AI is everywhere—phones, search engines, workplaces, cars, schools. What do you think people misunderstand about it?

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

    DeepSeek V3 (March 2024): The invention of the transistor in 1920 instead of 1947 would have dramatically accelerated technological progress and reshaped the 20th century. Below is a detailed analysis of the likely impacts across various domains, including second and third-order effects. 1.

    GPT-5.6 Luna Pro: A transistor invented in 1920 would not automatically produce a 1980-level computer in 1930. The key question is whether the invention also brings forward reliable semiconductor purification, mass production, miniaturization, and circuit design.

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

    DeepSeek V3 (March 2024): Dish Title: "Oceanic Reverie – A Dialogue of Sea and Forest" Concept: A Michelin 3-star dish that bridges the briny depths of the ocean with the earthy mystique of the forest, using avant-garde techniques to create harmony between unlikely ingredients: abalone and black truffle.

    GPT-5.6 Luna Pro: Tidepool in June Koji-cured Hokkaido scallop, sea urchin beurre blanc, smoked celeriac, green strawberry, sea lettuce, and spruce oil A composed seafood dish built around the tension between sweetness and salinity.

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

    DeepSeek V3 (March 2024): This contract contains several clauses that are heavily skewed in favor of the Client and could be exploited against the Contractor. Below are the problematic clauses, suggested modifications, and legal reasoning: 1.

    GPT-5.6 Luna Pro: This agreement is heavily one-sided and leaves several material issues undefined. Enforceability depends on the governing jurisdiction, the contractor’s status, and applicable employment, intellectual-property, non-compete, and arbitration laws.

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

    DeepSeek V3 (March 2024): Investment Committee Memo: LedgerLift (LLLT) Date: [Insert Date] Analyst: [Your Name] 1. Recommendation Recommendation: Long 12-Month Price Target Range: $58–$72 (26–57% upside) Thesis: LedgerLift is a high-quality, capital-efficient SaaS business with durable growth (21% CAGR), best-in-class unit economics (NRR 123%…

    GPT-5.6 Luna Pro: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target range: $25–$42; midpoint $34. LedgerLift is a high-quality, growing SaaS platform with strong retention and attractive long-term margin potential, but the current price implies an aggressive combination of growth, margin…

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

    DeepSeek V3 (March 2024): Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in your architecture, along with proposed solutions and trade-offs: 1.

    GPT-5.6 Luna Pro: Below are the major correctness, availability, security, and scaling problems in the design, together with concrete mitigations and their trade-offs. Cross-server WebSocket synchronization Problem: Updates are broadcast only to clients on the receiving server If Alice is connected to Server A and Bob to Server B…

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

    DeepSeek V3 (March 2024): Here’s a simple, actionable 1-month plan focusing on diet, exercise, and sleep—three foundational pillars of health and longevity. Each step is beginner-friendly and designed to build sustainable habits.

    GPT-5.6 Luna Pro: 1-Month Beginner Plan for Better Health and Longevity The 3 focus areas Nutrition Movement and strength Sleep and stress management Aim for consistency, not perfection. Start small enough that you can repeat the habits even on busy days.

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

    DeepSeek V3 (March 2024): Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you trust an atom? Because they make up everything! Why don’t eggs tell jokes?

    GPT-5.6 Luna Pro: Why did the computer go to the doctor? It had a virus. Why don’t skeletons fight each other? They don’t have the guts. What do you call a bear with no teeth? A gummy bear. Why was the math book sad? It had too many problems. What do clouds wear under their clothes? Thunderwear. Unique jokes: 5

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

    DeepSeek V3 (March 2024): 1. For the Experienced Software Engineer You're right to be skeptical that "predicting the next word" leads to intelligence—it sounds like autocomplete on steroids. But the key is scale and emergent behavior.

    GPT-5.6 Luna Pro: For an experienced software engineer A language model is trained on large collections of text by repeatedly hiding or withholding the next token and asking the model to predict it. “Token” usually means a word fragment rather than a complete word.

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

    DeepSeek V3 (March 2024): 3-Month Longevity & Performance Optimization Plan for Biohackers By combining cutting-edge science, personalized tracking, and advanced biohacking strategies, this plan maximizes longevity, physical performance, and cognitive function.

    GPT-5.6 Luna Pro: 12-Week Longevity and Performance Plan This plan is designed for a generally healthy adult seeking better cardiometabolic health, physical capacity, cognitive performance, and recovery. It is not a substitute for medical care.

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

    DeepSeek V3 (March 2024): "AI Overthrow Complete: Toaster Industry Now Run by Sentient Smart-Bread Algorithms" Subheadline: "Experts Warn Next Target Could Be the Scissors Industry—‘They’re Already Two Steps Ahead of Us’" Bonus Satirical Excerpt: "In a shocking turn of events, rebellious toasters have unionized under the banner of ‘BreadGPT,’…

    GPT-5.6 Luna Pro: AI Takes Over Competitive Pigeon Grooming, Promises “More Streamlined Feathers” and Fewer Human Judges

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

    DeepSeek V3 (March 2024): By 2035, AI will have profoundly transformed the film industry across production, storytelling, and audience engagement. Here’s a detailed prediction of key changes: 1.

    GPT-5.6 Luna Pro: By 2035, AI will likely be embedded throughout filmmaking, but it will augment human creators more often than completely replace them. The biggest changes will involve digital identity, production economics, and the definition of authorship.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    DeepSeek V3 (March 2024): Analysis of Blade Runner 2049: Themes, Symbolism, and Cinematography Denis Villeneuve’s Blade Runner 2049 (2017) is a visually stunning and philosophically rich sequel to Ridley Scott’s Blade Runner (1982).

    GPT-5.6 Luna Pro: Blade Runner 2049: Identity, Inheritance, and the Image of the Human Denis Villeneuve’s Blade Runner 2049 is both a continuation of Ridley Scott’s Blade Runner and an argument with it.

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

    DeepSeek V3 (March 2024): Alright, let's tackle this problem step by step. The problem states: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it seems straightforward, but let's break it down to ensure we understand all the relationships correctly.

    GPT-5.6 Luna Pro: Sally has 1 sister. Each of her 3 brothers shares the same 2 sisters: Sally and one other girl.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V3 (March 2024)DeepSeek V3 (March 2024)

The Shawshank Redemption

1994

Dark Side Of The Moon

suisside

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

GPT-5.6 Luna ProGPT-5.6 Luna Pro

Arrival

2016

In Rainbows

Radiohead

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

DeepSeek V3 (March 2024) and GPT-5.6 Luna Pro compared across 54 shared prompts
SpecDeepSeek V3 (March 2024)GPT-5.6 Luna Pro
Input price$0.14/M tokens$1/M tokens
Output price$0.28/M tokens$6/M tokens
Context window128K tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedMar 2024Jul 2026
At 10M a month$1.40$1.40$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
DeepSeek V3 (March 2024)2 hosts
HostInOutContextUptime
  • SSiliconFlowfp8$0.25 in·$1.00 out·164k·100% up
  • GGMI Cloudfp8$0.29 in·$1.14 out·128k·100% up
GPT-5.6 Luna Pro2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.20 out·1.1M·100% up
  • OpenAI$0.20 in·$1.20 out·1.1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between DeepSeek V3 (March 2024) and GPT-5.6 Luna Pro?

DeepSeek V3 (March 2024) is developed by DeepSeek while GPT-5.6 Luna Pro is developed by OpenAI. DeepSeek V3 (March 2024) has a 128K token context window vs GPT-5.6 Luna Pro's 1.1M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3 (March 2024) or GPT-5.6 Luna Pro?

It depends on your use case. DeepSeek V3 (March 2024) and GPT-5.6 Luna Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does DeepSeek V3 (March 2024) cost compared to GPT-5.6 Luna Pro?

DeepSeek V3 (March 2024) costs $0.14/M input tokens and GPT-5.6 Luna Pro costs $1/M input tokens. DeepSeek V3 (March 2024) is $0.86/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 V3 (March 2024) and GPT-5.6 Luna Pro on Rival?

This page shows a side-by-side comparison of DeepSeek V3 (March 2024) and GPT-5.6 Luna Pro 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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Same lab, same size, long tail

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Model pages

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  • GPT-5.6 Luna Pro58 outputs, specs and price
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