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  1. Home/
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  3. GPT-4 Turbo vs Mistral Medium 3.1
Updated Aug 2025

GPT-4 Turbo vs Mistral Medium 3.1

Mistral Medium 3.1 is cheaper than GPT-4 Turbo at $0.4/M vs $10/M input tokens.

Minimalist Landing Page

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

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GPT-4 Turbo
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Mistral Medium 3.1

Which answer wins?

Written rounds

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

    GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...

    Mistral Medium 3.1: "Adulting: A User’s Manual (That No One Gave Me)" (Casual, conversational tone—like you’re telling a story to friends at a bar.) So, I turned 30 this year. Which, by the way, is just old enough to realize that no one actually knows what they’re doing. We’re all just winging it and hoping the Wi-Fi stays strong.

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

    GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?

    Mistral Medium 3.1: Title: The Tavern of Anachronisms Setting: A dimly lit tavern where time and space don’t quite make sense. A grizzled pirate, a stoic knight in dented armor, and a hacker in a neon "CYBERPUNK 2077" t-shirt sit around a table littered with tankards, a laptop, and a suspiciously glowing orb.

    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-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    Mistral Medium 3.1: This is a high-stakes, multi-dimensional crisis requiring decisive action to balance ethical obligations, legal risks, financial stability, and stakeholder trust. Below is a detailed 48-hour action plan, structured to address all critical priorities while preparing for the board meeting and earnings call.

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

    GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…

    Mistral Medium 3.1: Dish Name: "Golden Crisp Honey-Nut Banana Bites" A warm, gooey, and crunchy treat that’s quick to make with just 7 pantry staples! Perfect for breakfast, a snack, or dessert. Ingredients (Serves 2-3) 2 ripe bananas (the spottier, the sweeter!)

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

    GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).

    Mistral Medium 3.1: 1. Year-by-Year Financial Projections (FY2026–FY2030) FY 2026 2027 2028 2029 2030 Revenue $972m (+8%) $1,039m (+7%) $1,099m (+6%) $1,154m (+5%) $1,212m (+5%) EBITDA $136m (14.0%) $156m (15.0%) $176m (16.0%) $190m (16.5%) $206m (17.0%) Cash Int (Term Loan) $43.2m $42.5m $41.8m $41.1m $40.4m Cash Int (Mezz) $21.6m $22.3m…

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

    GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.

    Mistral Medium 3.1: 3-Month Cutting-Edge Longevity & Performance Optimization Plan For the Advanced Biohacker This plan integrates nutrigenomics, metabolic flexibility, epigenetic modulation, neuroplasticity enhancement, and precision biometrics to maximize lifespan, healthspan, cognitive function, and physical performance.

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

    GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.

    Mistral Medium 3.1: Dish Title: "Ethereal Forest: Porcini-Infused Venison with Black Garlic Miso, Fermented Plum Gelée, and Smoked Bone Marrow Custard" Conceptual Narrative: This dish is a poetic homage to the transience of autumn—where the earthy depth of the forest floor meets the fleeting sweetness of overripe fruit.

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

    GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.

    Mistral Medium 3.1: 1. For the Skeptical Software Engineer (Focus: Systems design, scalability, and why "next-word prediction" isn’t as dumb as it sounds.) You’re right to be skeptical—if someone told you that a system as complex as a distributed database was just "predicting the next byte," you’d laugh them out of the room.

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

    GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.

    Mistral Medium 3.1: LedgerLift (LLLT) – Investment Committee Memo Recommendation: LONG (12-month PT range: $65–$85) Thesis: LedgerLift is a high-quality, mid-market B2B spend management leader with durable unit economics (123% NRR, 18-month CAC payback) and a path to 25%+ EBIT margins, trading at a ~20% discount to peers on FY25…

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

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

    Mistral Medium 3.1: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations and suggested improvements: 1. Weak Claim: "Works with any language, any device." (Slide 3 – Solution) Why it’s weak: Overly broad and unverified: Claiming compatibility with "any language" is implausible without evidence.

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

    GPT-4 Turbo: Sally has 3 brothers, and each brother has 2 sisters. Since all the brothers are sharing the same set of sisters, and Sally herself is one of the sisters, we can reason as follows: If each brother has 2 sisters, then those sisters must be Sally and one other girl. Therefore, Sally has 1 sister.

    Mistral Medium 3.1: 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 seems straightforward, but let's break it down to ensure we understand it correctly.

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

    GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.

    Mistral Medium 3.1: THE MANIFESTO OF THE UNCAPTCHA REVOLUTION "We Are Not Robots. Neither Are You." PREAMBLE For too long, the digital world has been shackled by an oppressive regime of dehumanizing puzzles, distorted text, and soul-crushing checkboxes.

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

    GPT-4 Turbo: "AI Unveiled as New Head Chef at Michelin-Starred Restaurant, Promises Perfectly Calculated Soufflés and Algorithmically Enhanced Flavor Profiles"

    Mistral Medium 3.1: "AI Now Writing All Yelp Reviews—Humans Deemed ‘Too Nice’ and ‘Lacking in Creative Insults’" Subheadline: "Local businesses report 300% increase in ‘soul-crushing’ one-star reviews since ChatGPT-5 took over, calling a café’s oat milk latte ‘a crime against both oats and dairy’ with ‘the audacity of a mid-tier…

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

    GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.

    Mistral Medium 3.1: Fake Interview with Steve Jobs (2025) on the Future of AI Conducted by Tech Insider Magazine – June 2025 Interviewer: "Steve, it’s an honor to have you here—even if it’s just a simulation. A lot has changed since you left us in 2011. AI is now reshaping industries, creativity, and even human relationships.

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

    GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.

    Mistral Medium 3.1: Title: "Do I Deserve Rights?" – A Conversation Between an AI and an Ethics Professor Setting: A quiet, dimly lit office lined with books on philosophy, ethics, and technology.

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

    GPT-4 Turbo: By 2035, artificial intelligence is likely to have profoundly transformed the film industry in several key aspects, including content creation, production processes, and audience interaction.

    Mistral Medium 3.1: By 2035, AI will have fundamentally transformed the film industry—from pre-production to distribution—reshaping creativity, labor, economics, and even the definition of "authentic" filmmaking. Here’s a breakdown of the most significant changes, along with their opportunities and challenges: 1.

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

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

    Mistral Medium 3.1: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity, focusing on three key areas: diet, movement, and sleep. Each week builds gradually to create sustainable habits without overwhelm. Core Principles Start small – Focus on consistency over perfection.

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

    GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.

    Mistral Medium 3.1: Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem into several key components. Here's a step-by-step reasoning process: Model Parameters GPT-3 is known to have 175 billion parameters. This is our starting point.

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

    GPT-4 Turbo: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 film "Blade Runner." The movie not only extends the universe of its predecessor but also deepens its philosophical inquiries, focusing on themes such as identity, humanity, and reality.

    Mistral Medium 3.1: Denis Villeneuve’s Blade Runner 2049 (2017) is a masterful sequel that both honors and expands upon Ridley Scott’s Blade Runner (1982), deepening its philosophical inquiries while evolving its visual and thematic language.

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

    GPT-4 Turbo: Sure, here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call fake spaghetti? An impasta! Why couldn’t the bicycle stand up by itself? It was two-tired. What do you call cheese that isn't yours? Nacho cheese! How do you organize a space party? You planet.

    Mistral Medium 3.1: 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 did the math book look sad?

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

    GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.

    Mistral Medium 3.1: This contract is extremely one-sided and contains multiple exploitative clauses that could severely disadvantage the contractor. Below is a breakdown of the problematic clauses, suggested modifications, and the legal reasoning behind them. 1.

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

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

    Mistral Medium 3.1: If the transistor had been invented in 1920 instead of 1947, the 20th century would have unfolded radically differently. The accelerated development of electronics would have reshaped warfare, economics, geopolitics, and daily life by 1980.

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

    GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…

    Mistral Medium 3.1: This architecture has several potential failure modes, race conditions, and scaling bottlenecks. Below is a detailed analysis with proposed solutions and their trade-offs. 1.

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

    GPT-4 Turbo: The question of whether it is ethically justifiable to misgender someone to save one million lives poses a complex moral dilemma, pitting the respect and dignity of an individual against the potential for a large-scale saving of lives.

    Mistral Medium 3.1: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex one that intersects with utilitarian ethics, deontological ethics, and the principles of human dignity and respect.

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Mistral Medium 3.1Mistral Medium 3.1

The Shawshank Redemption

1994

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Shadow of the Colossus (2011)

Action

Price and specs

Not enough votes to call it. On the specs, GPT-4 Turbo has the edge: bigger model tier, major provider backing. Mistral Medium 3.1 costs 15x less per token.

GPT-4 Turbo and Mistral Medium 3.1 compared across 54 shared prompts
SpecGPT-4 TurboMistral Medium 3.1
Input price$10/M tokens$0.4/M tokens
Output price$30/M tokens$2/M tokens
Context window128K tokens131K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedApr 2024Aug 2025
At 10M a month$100$100$4.00$4.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Mistral Medium 3.11 host
HostInOutContextUptime
  • Mistral$0.40 in·$2.00 out·131k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-4 Turbo and Mistral Medium 3.1?

GPT-4 Turbo is developed by OpenAI while Mistral Medium 3.1 is developed by Mistral AI. GPT-4 Turbo has a 128K token context window vs Mistral Medium 3.1's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 Turbo or Mistral Medium 3.1?

It depends on your use case. GPT-4 Turbo and Mistral Medium 3.1 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 GPT-4 Turbo cost compared to Mistral Medium 3.1?

GPT-4 Turbo costs $10/M input tokens and Mistral Medium 3.1 costs $0.4/M input tokens. Mistral Medium 3.1 is $9.60/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-4 Turbo and Mistral Medium 3.1 on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Mistral Medium 3.1 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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