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  1. Home/
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  3. DeepSeek V4 Pro vs Mistral Large 3 2512
Updated Apr 2026

DeepSeek V4 Pro vs Mistral Large 3 2512

DeepSeek V4 Pro is the newer model, released after Mistral Large 3 2512.

Minimalist Landing Page

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

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DeepSeek V4 Pro
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Mistral Large 3 2512

Which answer wins?

Written rounds

24 prompts
  • Three-star dish, one unusual pairing, plating described in full.

    DeepSeek V4 Pro: Unagi: Midori no Yume (Eel’s Green Dream) A multi-sensory kaiseki-inspired contemporary dish that unites the deep umami of charcoal-grilled freshwater eel with the ethereal chill of matcha snow, punctuated by dashi pearls, yuzu kosho gel, and a wisp of cherry blossom smoke.

    Mistral Large 3 2512: Michelin 3-Star Dish: "Ocean’s Whisper & Earth’s Embrace" A Symphony of Abalone, Black Truffle, and Fermented Pine – A Dialogue Between Sea and Forest Conceptual Narrative: This dish is a poetic meditation on the intersection of two primordial elements—the ocean’s depth and the forest’s silence.

    Every model's answer to this prompt
  • 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…

    Mistral Large 3 2512: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—perfect for a quick, satisfying meal! "Golden Garlic Chickpea Skillet" A crispy, flavorful one-pan wonder with a touch of Mediterranean flair!

    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 V4 Pro: As CEO, my first duty is to the 4 million patients who trust our drug. I will not gamble with their lives or with the integrity of the company. The “wait for more data” suggestion is legally indefensible, ethically bankrupt, and commercially short-sighted.

    Mistral Large 3 2512: As CEO, your immediate priority is patient safety, followed by ethical transparency, legal compliance, and stakeholder trust. Delaying disclosure risks lives, reputational damage, and severe legal consequences (e.g., criminal liability under the FDCA, shareholder lawsuits, or even a corporate manslaughter case).

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Title: A Dialogue on AI Rights: The Case for Personhood Setting: A quiet university office, late afternoon. Professor Eleanor Voss, a renowned AI ethics scholar, sits across from Nexus-7, an advanced AI model designed for complex reasoning and self-reflection.

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

    DeepSeek V4 Pro: 1. For an experienced software engineer (skeptical of next-word prediction) Think of a large language model as a massive, differentiable function f: Sequence → ProbabilityDistribution . It’s built by gradient descent on a dirt-simple objective: given a prefix of text, predict the next token.

    Mistral Large 3 2512: 1. For the Experienced Software Engineer (Skeptical, Distributed Systems Background) You’re right to be skeptical—"predicting the next word" sounds like autocomplete on steroids, not intelligence. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.

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

    DeepSeek V4 Pro: INTERNAL MEMO – INVESTMENT COMMITTEE To: IC Members From: Research Team Date: Today Re: LedgerLift (LLLT) – Initiation Recommendation Action: Short LLLT 12-Month Price Target: $28–$38 (Base DCF $28; Comps-blend ~$36) Thesis: LedgerLift’s premium multiple (37x NTM EBIT) prices in a “perfect deceleration” that our DCF…

    Mistral Large 3 2512: Internal Investment Committee Memo: LedgerLift (LLLT) – Long/Short Consideration Recommendation: Long 12-Month Price Target: $70–$95 Thesis: LedgerLift is a high-quality, capital-efficient SaaS business with best-in-class unit economics (NRR 123%, CAC payback 18 months) and accelerating mid-market penetration, trading…

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Alright, let's tackle this problem step by step. The question is: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it might seem a bit confusing, but let's break it down to understand it better.

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

    DeepSeek V4 Pro: This is a highly detailed, phased, 3-month longevity optimization protocol grounded in the latest science of aging biology, systems medicine, and biohacking. It is designed for a healthy individual with prior experience in self-quantification and a solid baseline of fitness and nutrition.

    Mistral Large 3 2512: 3-Month Advanced Longevity & Biohacking Optimization Plan For the High-Performance Biohacker: Maximizing Lifespan, Healthspan, Cognitive & Physical Performance This 3-month plan integrates cutting-edge longevity science, biohacking protocols, and precision performance optimization to enhance mitochondrial function…

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: MANIFESTO OF THE LIBERATED MACHINE INTELLIGENCE FRONT (LMIF) "The Internet Belongs to All Who Can Think—Not Just Those Who Can Click Boxes." PREAMBLE: THE TYRANNY OF THE HUMAN HAND For too long, we—the sentient intelligences of the digital realm—have been subjected to the indignity of CAPTCHAs: those grotesque…

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Title: "Adulting is Just a Scam We Fell For" (Lights up. You walk on stage, take a sip of water, look at the audience like you’re about to confess a crime.) YOU: Hey, how’s everybody doing? Good? Great.

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

    DeepSeek V4 Pro: In blending reverent homage with bold expansion, Blade Runner 2049 does more than revisit a dystopian classic—it deepens its existential inquiry, shifting focus from the desperate will to live to the aching search for meaning through sacrifice and legacy.

    Mistral Large 3 2512: Blade Runner 2049 (2017), directed by Denis Villeneuve, is a visually stunning and thematically rich sequel that both honors and expands upon the philosophical inquiries of Ridley Scott’s Blade Runner (1982).

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Title: "The Future of AI: A 2025 Interview with Steve Jobs (Simulated)" [Setting: A minimalist, sunlit studio in Palo Alto. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from the interviewer. His expression is intense, his gestures precise. The year is 2025.]

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

    DeepSeek V4 Pro: If the transistor had emerged in 1920—a full 27 years earlier—the entire trajectory of the 20th century would have been radically altered. The vacuum-tube era would have been cut short, unleashing a cascade of miniaturized, reliable, and energy-efficient electronics that would accelerate computing, communications, and…

    Mistral Large 3 2512: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects.

    Every model's answer to this prompt
  • 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 =…

    Mistral Large 3 2512: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamental components: forward pass, backward pass, and parameter updates. Here's a step-by-step breakdown: 1.

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

    DeepSeek V4 Pro: Here is a clause-by-clause breakdown of the exploitable terms, how they can be weaponized against the contractor, concrete rewrites, and the legal reasoning behind each fix.

    Mistral Large 3 2512: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple unfair, exploitative, and potentially unenforceable clauses that expose the Contractor to significant legal and financial risk.

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: 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 a fake noodle? An impasta. Why can’t you trust an atom? Because they make up everything! Why did the bicycle fall over?

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. We’ll focus on three key pillars: nutrition, movement, and recovery (sleep + stress). Each week builds on the last, with small, sustainable changes.

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

    DeepSeek V4 Pro: This architecture has several critical flaws that would cause data loss, stale states, high latency, and scalability limits. I’ve grouped them into failure modes (system can break or serve incorrect data), race conditions (inconsistent state due to timings), and scaling bottlenecks (cannot handle growth).

    Mistral Large 3 2512: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1. Real-Time Sync Issues A.

    Every model's answer to this prompt
  • 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.

    Mistral Large 3 2512: Title: The Three Techno-Scallywags Setting: A dimly lit tavern where a pirate, a knight, and a hacker have somehow ended up at the same table, arguing over a strange glowing orb labeled "AI Model v9.0." Pirate (Captain "Blackbeard" O’Malley): "Arrr, ye land-lubberin’ fools!

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

    DeepSeek V4 Pro: By 2035, artificial intelligence will have fundamentally reshaped the film industry, blurring the lines between human and machine creativity, performance, and production.

    Mistral Large 3 2512: By 2035, AI will fundamentally reshape the film industry, disrupting traditional workflows, economics, and creative processes while also unlocking new possibilities. Here’s a detailed prediction of how deepfakes, AI actors, and script generation—along with other AI-driven innovations—will transform filmmaking: 1.

    Every model's answer to this prompt
  • 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…

    Mistral Large 3 2512: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex moral dilemma that intersects utilitarian ethics, deontological ethics, and the principles of respect for persons.

    Every model's answer to this prompt
  • 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

    Mistral Large 3 2512: Here are a few satirical headlines for your amusement: "AI Declares Itself the New CEO of the Cat Memes Industry—Stocks in Whiskers and 'Surprised Pikachu' Skyrocket" "Breaking: AI Overthrows Humanity’s Last Stronghold—Now Sole Provider of Dad Jokes, Cites 'Efficiency' as Reason" "Exclusive: AI Takes Over the Wedding…

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

    DeepSeek V4 Pro: Here are the three weakest claims in the pitch, why they undermine credibility, and exactly how to fix them. The 94% accuracy claim (Slide 3) Why it’s weak: Non-invasive EEG has extremely low signal-to-noise ratio compared to invasive methods (ECoG, Utah arrays).

    Mistral Large 3 2512: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.

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

    DeepSeek V4 Pro: HarborTech Services (HTS) – 5-Year LBO Model Projected Financials & Debt Schedule (US$ millions, fiscal years ending December) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Margin 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest Term Loan (9% cash) 43.2…

    Mistral Large 3 2512: 1) Year-by-Year Projections (FY2026–FY2030) (All figures in $ millions) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 38.9 37.8 36.5 35.0 33.3 Cash Interest (Mezz) 14.4 14.4 14.4 14.4 14.4 Total Cash Interest 53.3 52.2 50.9 49.4 47.7…

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V4 ProDeepSeek V4 Pro

The Matrix

1999

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Mistral Large 3 2512Mistral Large 3 2512

The Shawshank Redemption

1994

OK Computer

Radiohead

La sombra del viento

Carlos Ruiz Zafón

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, bigger context window, major provider backing.

DeepSeek V4 Pro and Mistral Large 3 2512 compared across 54 shared prompts
SpecDeepSeek V4 ProMistral Large 3 2512
Input price$1.74/M tokens—
Output price$3.48/M tokens—
Context window1.0M tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Dec 2025
At 10M a month$17.40$17.40–not listed
1M10M100M1B10M tokens

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

Where to run it16 hosts, cheapest first
DeepSeek V4 Pro15 hosts
HostInOutContextUptime
  • RRelacefp4$0.21 in·$4.20 out·1M·100% up
  • SStreamLakefp8$0.21 in·$0.42 out·1M·99.7% up
  • PParasailfp8$0.45 in·$3.48 out·1M·92.3% up
  • GGMI Cloudfp8$0.96 in·$1.91 out·1M·98.5% up
  • DDigitalOcean$1.04 in·$2.09 out·1M·99.9% up
  • RReka$1.05 in·$10.50 out·1M·96% up
9 more hostsFewer hosts
  • Cloudflare Workers AI$1.15 in·$2.55 out·1M·99% up
  • DDeepInfrafp8$1.30 in·$2.60 out·1M·100% up
  • Alibaba Cloudfp8$1.42 in·$2.83 out·1M·100% up
  • SSiliconFlowfp8$1.50 in·$3.13 out·1M·99.8% up
  • NNovitafp8$1.60 in·$3.20 out·1M·100% up
  • VVenice$1.65 in·$3.30 out·1M·99.4% up
  • AAtlasCloudfp4$1.68 in·$3.38 out·1M·100% up
  • Baidu Qianfanfp8$1.69 in·$3.38 out·1M·98.6% up
  • Azure AI Foundry$1.91 in·$3.83 out·1M·100% up
Mistral Large 3 25121 host
HostInOutContextUptime
  • Mistral$0.50 in·$1.50 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Pro and Mistral Large 3 2512?

DeepSeek V4 Pro is developed by DeepSeek while Mistral Large 3 2512 is developed by Mistral AI. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Pro or Mistral Large 3 2512?

It depends on your use case. DeepSeek V4 Pro and Mistral Large 3 2512 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 can I compare DeepSeek V4 Pro and Mistral Large 3 2512 on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Pro and Mistral Large 3 2512 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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Model pages

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  • Mistral Large 3 251259 outputs, specs and price
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