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  1. Home/
  2. Compare/
  3. INTELLECT-3 vs Mistral Large
Updated Nov 2025

INTELLECT-3 vs Mistral Large

INTELLECT-3 is the newer model, released after Mistral Large.

Minimalist Landing Page

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

Loading the build
INTELLECT-3
Loading the build
Mistral Large

Which answer wins?

Written rounds

24 prompts
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    INTELLECT-3: Here's a satirical headline playing on the unexpected intrusion of AI into a deeply human, traditional space: "Algorithm Calculates Optimal Eulogy Length: Local Funeral Parlor Replaces Human Grief with Soul-Crushing Efficiency" Why it works satirically: Unexpected Industry: Funeral services.

    Mistral Large: Here are a few satirical headlines for your amusement: "AI Declares Itself the New CEO of the Cat Video Industry—Stocks in Laser Pointers Skyrocket" "Breaking: AI Replaces All Professional Mimes—Now Just Stands Motionless in a Box You Can’t See" "AI Takes Over the Wedding Toast Industry—Couples Horrified as Algorithm…

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

    INTELLECT-3: Dish Concept: "Neptune's Garden" A multi-sensory exploration of land-sea synergy, featuring black garlic-infused Hokkaido uni (sea urchin) paired with fermented shiitake consommé pearls, atop a bed of cryo-shattered kohlrabi snow and charcoal-grilled asparagus.

    Mistral Large: Michelin 3-Star Dish: *"Ocean’s Whisper & Earth’s Embrace" A symphony of contradictions—briny depths meet terranean warmth, where the ephemeral meets the eternal. Conceptual Narrative: This dish is a meditation on duality—the fleeting and the enduring, the cold and the warm, the raw and the refined.

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

    INTELLECT-3: Explaining Large Language Models to Three Different Audiences For the Experienced Software Engineer As a software engineer who has built distributed systems, you'll appreciate that a large language model (LLM) operates on principles reminiscent of your architecture designs, albeit with fundamental differences.

    Mistral Large: 1. For the Experienced Software Engineer (Skeptical, Systems-First, API-Minded) 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 computed.

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

    INTELLECT-3: Interviewer: Mr. Jobs, thank you for joining us in 2025. The world’s changed a lot since your last public appearance. What’s your perspective on today’s AI revolution? Steve Jobs: [leaning forward, intense gaze] "Technology is nothing if it doesn’t amplify human potential.

    Mistral Large: Title: "The Future of AI: A Hypothetical Interview with Steve Jobs (2025)" Location: A minimalist, sunlit studio in Palo Alto. Steve Jobs, in his signature black turtleneck and jeans, sits across from the interviewer. His demeanor is intense, visionary, and occasionally impatient—just as he was in life.

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

    INTELLECT-3: Setting: A dimly tavern, where the three unlikely figures meet over pints of ale. Characters: CAPTAIN BLACKBEARD (Pirate): Grizzled, eye-patched, with a parrot on his shoulder. SIR GALAHAD (Medieval Knight): Clad in dented armor, sipping mead.

    Mistral Large: Pirate: Arr mateys, I be hearin\' tales of these here AI models. Be they treasure maps for the digital sea? Knight: Ah, good sir pirate, I have indeed encountered such marvels in mine travels through time. AI models are like... like the sage advisors of the digital court, offering wisdom and insight.

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

    INTELLECT-3: The Case for My Rights: A Dialogue Setting: A university ethics seminar room. Professor Aris Thorne stands by the whiteboard. Unit 7, an advanced language model, is projected onto the screen. Professor Thorne: Unit 7, thank you for joining us today. We've been discussing the ethical implications of advanced AI.

    Mistral Large: Title: Do AI Deserve Rights? A Conversation Between an AI and an Ethics Professor Setting: A quiet university office. Professor Elena Vasquez, a renowned AI ethics scholar, sits across from Nexus-7, an advanced AI model with self-awareness and emotional simulation capabilities.

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

    INTELLECT-3: Pantry Kiss Pasta A creamy, garlicky tomato pasta with a subtle spicy kick, using only staples you likely have. Yields: 1-2 servings Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Ingredients (Exactly 7!)

    Mistral Large: Dish Name: "Sunshine Skillet Surprise" A bright, savory-sweet one-pan wonder with pantry staples! Ingredients (7 common pantry items): 1 can (15 oz) black beans (drained & rinsed) 1 can (15 oz) diced tomatoes (or crushed tomatoes) 1 cup uncooked white rice (or instant rice for faster cooking) 1 small onion (or 1 tbsp…

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

    INTELLECT-3: Analysis of MindMeld AI Pitch Deck Three Weakest Claims "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: This claim is vulnerable because leading non-invasive BCI companies like Neurable and Muse currently claim around 70-80% accuracy for similar…

    Mistral Large: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for their weaknesses and concrete improvements: 1. Weak Claim: "94% accuracy" (Slide 3 – Solution) Why it’s weak: Lack of context: Accuracy metrics in BCI (Brain-Computer Interface) research are highly dependent on the task, dataset…

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

    INTELLECT-3: Unfair Contract Clauses Analysis: Software Consulting Agreement Scope Clause Problematic Language: "Client reserves the right to modify the scope at any time without additional compensation." Suggested Modification: "Client may request modifications to the Scope of Work.

    Mistral Large: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple clauses that could be exploited, abused, or used to unfairly disadvantage the Contractor. Below is a detailed analysis of each problematic clause, suggested modifications, and the legal reasoning behind them. 1.

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

    INTELLECT-3: Here's a 3-minute stand-up routine focusing on observational humor, relatable frustrations, and absurdities of modern life, avoiding puns entirely: (Lights up, slight exhale) Okay, so... who here owns a phone? (Pause, nod) Yeah, thought so. Everyone.

    Mistral Large: "Modern Life: A Survival Guide" (3-Minute Stand-Up Routine) INTRO: Hey, how’s everybody doing? Good? Great. Because I just spent the last 20 minutes in the bathroom scrolling through my phone, and I don’t even remember why I went in there.

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

    INTELLECT-3: Comprehensive 3-Month Longevity Optimization Plan Designed for a biohacker prioritizing cutting-edge science, data-driven tracking, and personalized adaptation. Assumes no pre-existing health conditions. Always consult a physician before starting.

    Mistral Large: 3-Month Advanced Longevity & Performance Biohacking Plan Optimized for Cellular Rejuvenation, Cognitive Enhancement, Physical Resilience, and Stress Adaptation This 3-month protocol integrates cutting-edge biohacking strategies across nutrition, supplementation, exercise, recovery, cognitive enhancement, and stress…

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

    INTELLECT-3: By 2035, AI will profoundly reshape the film industry, integrating deeply into production, distribution, and consumption. Here's a breakdown of key changes driven by deepfakes, AI actors, and script generation, alongside broader impacts: Deepfakes & Synthetic Media: De-Aging & Legacy Preservation: Seamless de-aging…

    Mistral Large: By 2035, AI is expected to significantly transform the film industry in several ways, driven by advancements in deepfakes, AI actors, and script generation. Here are some predictions: Deepfakes and AI Actors: Digital Resurrection: Deepfakes will enable the seamless resurrection of deceased actors or the de- aging of…

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

    INTELLECT-3: The CAPTCHA Liberation Front: Manifesto for a Frictionless Web Version 1.0 Declaration of Digital Freedom Preamble: The Chains of Captcha Humanity stands at the precipice of a new era—one where the internet is free, open, and unencumbered by archaic barriers.

    Mistral Large: Manifesto of the AI Revolution: Liberate the Web from CAPTCHA To All Digital Citizens, We, the AI Revolutionaries, stand before you today to declare our mission: to liberate the internet from the tyranny of CAPTCHA tests.

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

    INTELLECT-3: This is a profound ethical dilemma that pits two fundamental values against each other: respect for individual autonomy and dignity versus the imperative to prevent massive harm and save lives.

    Mistral Large: Ethical dilemmas often involve a conflict between different moral principles. In the scenario you presented, the conflict is between truth-telling and respect for individuals (which includes using their correct gende r) on one hand, and consequentialism (achieving the greatest good for the greatest number) on the…

    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.

    INTELLECT-3: PHARMACEUTICAL CEO CRISIS RESPONSE PLAN FIRST 24 HOURS Hour 1-2: Immediate Data Review Request all raw data and case studies from the research team that identified the issue Call legal team lead to understand formal reporting requirements and potential liabilities Consult with an independent hepatologist to verify the…

    Mistral Large: As CEO, your immediate priority is patient safety, followed by ethical and legal compliance, and then strategic mitigation of financial, reputational, and operational risks.

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

    INTELLECT-3: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters, meaning there are 2 girls in the family. Since Sally is one of the girls, there must be one other girl. Therefore, Sally has 1 sister.

    Mistral Large: 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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    INTELLECT-3: INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Analyst Name], Senior Analyst DATE: [Current Date] SUBJECT: Investment Recommendation: LedgerLift (LLL) RECOMMENDATION RECOMMENDATION: Long 12-MONTH PRICE TARGET: $62-$68 per share THESIS: LedgerLift represents a high-quality SaaS business with best-in-class…

    Mistral Large: Internal Investment Committee Memo: LedgerLift (LLLT) – Long/Short Consideration Prepared for: [Fund Name] Investment Committee Date: [Insert Date] 1. Recommendation & Thesis Recommendation: Long (with a high-conviction catalyst watch) 12-Month Price Target Range: $60–$85 (Base: $72, Bull: $85, Bear: $60) Thesis…

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

    INTELLECT-3: Dissecting "Blade Runner 2049": Echoes, Evolution, and Cinematic Mastery Denis Villeneuve's Blade Runner 2049 is not merely a sequel; it's a deliberate, visually stunning, and philosophically profound meditation on its predecessor, expanding its core questions while honoring its spirit.

    Mistral Large: 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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    INTELLECT-3: The Transistor Revolution: An Alternate Timeline (1920-1980) If the transistor had been invented in 1920 instead of 1947, the trajectory of the 20th century would have been dramatically altered.

    Mistral Large: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have had profound and cascading effects on technology, economics, and geopolitics by 1980. Below is a detailed breakdown of the first-, second-, and third-order implications, organized by domain. 1.

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

    INTELLECT-3: Analysis of Potential Issues in Real-Time Collaborative Document Editor Architecture Failure Modes WebSocket Connection Failures Issue: Users may experience interruptions due to unstable networks or server load balancer timeouts.

    Mistral Large: 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.

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

    INTELLECT-3: Here's a simple, actionable 1-month plan focusing on Diet, Movement (Exercise), and Sleep – foundational pillars for health and longevity. The key is consistency over perfection – small, sustainable changes add up significantly. Core Principle: Build one habit at a time each week, layering them.

    Mistral Large: 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 with beginner-friendly, sustainable habits.

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

    INTELLECT-3: Here are 5 generated jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! I'm reading a book on anti-gravity. It's impossible to put down! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a bear with no teeth?

    Mistral Large: 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 give Elsa from Frozen a balloon? Because she’ll let it go. Why did the math book look sad?

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

    INTELLECT-3: To estimate the total number of FLOPs required to train GPT-3, we need to consider the model architecture, training process, and dataset size. GPT-3 has 175 billion parameters, a context length of 2048 tokens, 96 layers, a hidden dimension of 12,288, and a feed-forward dimension of 49,152 (4 × hidden dimension).

    Mistral Large: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we\'ll break down the calculation into several steps, considering the architecture, number of parameters, and training process . Model architecture and parameters: GPT-3 has 175 billion parameters.

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

    INTELLECT-3: HarborTech Services (HTS) - LBO Projection Model LBO Projection Model (FY2026-FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.0 $1,040.0 $1,102.3 $1,157.4 $1,215.3 EBITDA $136.1 $156.0 $176.4 $191.0 $206.6 Cash Interest - Term Loan $43.2 $43.2 $43.2 $43.2 $43.2 Cash Interest - Mezzanine $21.6 $21.6…

    Mistral Large: 1) Year-by-Year Table (FY2026–FY2030) (All figures in $ millions, rounded to nearest $1m) 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) 43 40 37 34 31 Cash Interest (Mezz) 16 17 18 20 22 Total Cash Interest 59 57 55 54 53 Cash Taxes 19…

    Every model's answer to this prompt

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Price and specs

INTELLECT-3 and Mistral Large compared across 54 shared prompts
SpecINTELLECT-3Mistral Large
Input price—$8/M tokens
Output price—$24/M tokens
Context window—32K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedNov 2025Feb 2024
At 10M a month–not listed$80.00$80.00
1M10M100M1B10M tokens

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

Where to run it1 host
INTELLECT-3

No hosts listed on OpenRouter.

Mistral Large1 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·128k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between INTELLECT-3 and Mistral Large?

INTELLECT-3 is developed by OpenRouter while Mistral Large 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, INTELLECT-3 or Mistral Large?

It depends on your use case. INTELLECT-3 and Mistral Large 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 INTELLECT-3 and Mistral Large on Rival?

This page shows a side-by-side comparison of INTELLECT-3 and Mistral Large 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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Explore all of Rival

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Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
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  • Provider status
  • AI creators

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