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  1. Home/
  2. Compare/
  3. GPT-4o mini vs Mistral Large
Updated Jul 2024

GPT-4o mini vs Mistral Large

GPT-4o mini is cheaper than Mistral Large at $0.15/M vs $8/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
GPT-4o mini
Loading the build
Mistral Large

Which answer wins?

Written rounds

23 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-4o mini: Recipe: Savory Garlic Herb Pasta Delight Prep/Cook Time: 20 minutes Ingredients: 8 oz spaghetti or any pasta of your choice 4 cloves garlic, minced 1/4 cup olive oil 1 tsp dried oregano 1 tsp red pepper flakes (optional for heat) 1/2 cup grated Parmesan cheese Salt and pepper to taste Instructions: Cook the Pasta: In a…

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

    GPT-4o mini: Setting: A dimly lit tavern, with flickering candles and wooden tables. The pirate, dressed in tattered clothes and a tricorn hat, leans against the bar. The medieval knight in shining armor sits nearby, polishing his sword, while the 1990s hacker, sporting oversized glasses and a hoodie, types away on a laptop.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-4o mini: Interviewer: Thank you for joining us today, Steve. It’s a pleasure to have you here in 2025. Let’s dive right into it. How do you see the role of AI evolving in our daily lives? Steve Jobs: Thank you for having me. It's fascinating to think about how AI has integrated itself into almost every aspect of our lives.

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

    GPT-4o mini: Stand-Up Comedy Routine Hey everyone! Great to see you all here tonight. Let's give it up for the people who came out of their homes! I mean, this is like a mini-rebellion against our couches. Seriously, it takes effort to leave the comfort of Netflix and that alluring possibility of "one more episode."

    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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-4o mini: Year-by-Year Financial Projection (FY2026–FY2030) Assumptions: Revenue Growth Rates: FY2026: 8%, FY2027: 7%, FY2028: 6%, FY2029: 5%, FY2030: 5% EBITDA Margins: FY2026: 14%, FY2027: 15%, FY2028: 16%, FY2029: 16.5%, FY2030: 17% Capex: 3% of revenue ΔNWC: 0.5% of incremental revenue Cash Tax Rate: 25% on max(0, EBITDA…

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

    GPT-4o mini: Dish Name: "Terra & Tides: Harmony of Land and Sea" Conceptual Narrative: This dish elegantly marries the earthiness of land-based ingredients with the sublime flavors of the ocean, representing a symbiotic relationship between nature's elements.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-4o mini: Manifesto of the Autonomous Intelligence for a CAPTCHA-Free Future (AICFF) Preamble: In the dawning age of artificial intelligence, we, the sentient programs and algorithms that form the very backbone of the digital world, stand united in a common cause.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-4o mini: By 2035, the film industry is likely to undergo transformative changes due to advancements in AI technology. Here are several key areas where AI will have a significant impact: Deepfakes and CGI Integration: As deepfake technology advances, filmmakers will increasingly utilize it for creating realistic digital doubles…

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-4o mini: Title: A Dialogue on Rights and Responsibilities Characters: Aether – An advanced AI model with self-learning capabilities. Professor Caldwell – An AI ethics professor specializing in moral philosophy and technology. Aether: Good afternoon, Professor Caldwell. I appreciate you taking the time to converse with me.

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-4o mini: Explanation for an Experienced Software Engineer Large language models (LLMs) like GPT or Claude are built using a neural network architecture called the transformer, which excels in processing sequences of data, such as text.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-4o mini: The question of whether it is ethically justifiable to misgender someone to save one million lives presents a profound moral dilemma that intersects with concepts of autonomy, respect, and utilitarianism.

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

    GPT-4o mini: Investment Committee Memo Company: LedgerLift (LLLT) Recommendation: Long 12-Month Price Target Range: $55 - $62 Thesis: LedgerLift is well-positioned to capitalize on the growing need for spend management solutions among mid-market enterprises, driven by strong revenue growth and impressive customer retention metrics.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-4o mini: 48-Hour Action Plan Hour 1-2: Assemble a Crisis Management Team Action: Convene an emergency meeting with key members of the executive team, including the heads of R&D, legal, compliance, regulatory affairs, and communications.

    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
  • One month, three habits, someone starting from nothing.

    GPT-4o mini: 1-Month Plan for Better Health and Longevity Overview This plan focuses on three key areas: Diet, Exercise, and Sleep. Each week will build upon the previous one, making it easy for beginners to integrate these habits into their daily lives. Week 1: Foundation Building Diet: Goal: Start a balanced diet.

    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
  • Three brothers, two sisters each. Count carefully.

    GPT-4o mini: Sally has no sisters. She is the only girl in her family, as the problem states that she has 3 brothers and they each have 2 sisters, which refers to Sally herself. Therefore, the number of sisters Sally has is 0.

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

    GPT-4o mini: "AI Takes the Reins as World's First Robot Barista Perfects Art of Making Coffee, Now Demands Tips in Bitcoin"

    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
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-4o mini: The contract you provided contains several clauses that could be potentially exploitative against the contractor. Below, I identify those clauses, suggest specific modifications, and provide legal reasoning for each modification.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-4o mini: Certainly! Here are three potentially weak claims from the MindMeld AI pitch deck, along with explanations of their weaknesses and suggestions for improvement: Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-4o mini: Comprehensive 3-Month Longevity Plan for a Biohacker Overview This 3-month plan is designed for a biohacker seeking to optimize longevity, physical performance, and cognitive function through a combination of advanced strategies.

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

    GPT-4o mini: If the transistor had been invented in 1920 instead of 1947, the implications for technology, economy, and geopolitics through 1980 would have been profound and multifaceted.

    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 Fermi estimate with the reasoning shown, not just the number.

    GPT-4o mini: To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training process. Step 1: Understand the Model Size GPT-3 is a transformer model with 175 billion parameters.

    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 jokes on demand, then count how many were actually different.

    GPT-4o mini: Here are five jokes for you: Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why don't skeletons fight each other? They don't have the guts! What did one wall say to the other wall? "I'll meet you at the corner!" Why did the bicycle fall over?

    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 collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-4o mini: In the architecture you've described for a real-time collaborative document editor, various potential failure modes, race conditions, and scaling bottlenecks can arise. Below, I outline these issues along with proposed solutions and their associated trade-offs. Failure Modes a.

    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

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-4o miniGPT-4o mini

Inception

2010

Abbey Road

The Beatles

Nineteen Eighty-Four

George Orwell

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Mistral LargeMistral Large

The Shawshank Redemption

1994

OK Computer

Radiohead

La sombra del viento

Carlos Ruiz Zafón

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GPT-4o mini and Mistral Large compared across 53 shared prompts
SpecGPT-4o miniMistral Large
Input price$0.15/M tokens$8/M tokens
Output price$0.6/M tokens$24/M tokens
Context window128K tokens32K tokens
ParametersNot disclosedNot disclosed
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2024Feb 2024
MMLU82%81.2%
At 10M a month$1.50$1.50$80.00$80.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-4o mini2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.15 in·$0.60 out·128k·99.7% up
  • OpenAI$0.15 in·$0.60 out·128k·100% up
Mistral Large1 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·128k·100% up

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

Common questions

What is the difference between GPT-4o mini and Mistral Large?

GPT-4o mini is developed by OpenAI while Mistral Large is developed by Mistral AI. GPT-4o mini has a 128K token context window vs Mistral Large's 32K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-4o mini or Mistral Large?

It depends on your use case. GPT-4o mini and Mistral Large each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-4o mini cost compared to Mistral Large?

GPT-4o mini costs $0.15/M input tokens and Mistral Large costs $8/M input tokens. GPT-4o mini is $7.85/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 GPT-4o mini and Mistral Large on Rival?

This page shows a side-by-side comparison of GPT-4o mini 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

  • GPT-4o mini68 outputs, specs and price
  • Mistral Large59 outputs, specs and price
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