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  1. Home/
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  3. MiniMax M2.7 vs Mistral Large
Updated Mar 2026

MiniMax M2.7 vs Mistral Large

MiniMax M2.7 is cheaper than Mistral Large at $0.3/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
MiniMax M2.7
Loading the build
Mistral Large

Which answer wins?

Written rounds

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

    MiniMax M2.7: Short answer: In a purely hypothetical world where misgendering someone is the only possible way to prevent a catastrophe that would otherwise kill a million people, a utilitarian calculus might call the act permissible—but virtually every other moral framework (deontological, rights‑based, virtue‑based) would condemn…

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

    MiniMax M2.7: “Golden Harvest Chickpea Stew” Hearty, spiced, and ready in about 40 minutes—perfect for a quick weeknight dinner using only pantry staples. Item Details Prep Time 10 minutes Cook Time 30 minutes Total Time 40 minutes Servings 4 (about 1 ½ cups each) Vegan / Gluten‑Free Yes (just make sure your canned goods are…

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

    MiniMax M2.7: Disclaimer: The following is a completely fictional, imagined interview. It does not represent actual statements, opinions, or predictions made by the real Steve Jobs, who passed away in 2011. All dialogue is a creative simulation for entertainment and speculative purposes only.

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

    MiniMax M2.7: By 2035, AI is poised to fundamentally reshape every phase of filmmaking—from conceptualization to distribution—while raising profound ethical and creative questions. Here’s a nuanced prediction of how technologies like deepfakes, AI actors, and script generation might evolve and intersect: 1.

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

    MiniMax M2.7: 1. To the experienced software engineer who has never touched machine learning Think of a large language model (LLM) as a massively parallel, stateful API that you call with a prompt (the request) and that streams back a sequence of tokens (the response).

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

    MiniMax M2.7: Pirate: “Arr, me hearties! Ye be chatterin’ ‘bout these AI contraptions, be they? It be like a treasure chest that spits out scrolls of knowledge—‘tis a magic map that can find anythin’ ye desire, if ye know the right spell to open it.” Knight: “Forsooth, I have heard tales of such a wondrous blade.

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

    MiniMax M2.7: LUMIÈRE DE LA MER “A Moonlit Dialogue Between Ocean and Earth” Conceptual Narrative Lumière de la Mer is a multi‑course, bite‑size tableau that captures the contrast of the deep, briny sea with the earthy, fermented soul of the land.

    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
  • Three brothers, two sisters each. Count carefully.

    MiniMax M2.7: Sally has 1 sister. Reasoning Sally is a girl, so she counts as one of the sisters in the family. Each of her three brothers has exactly two sisters. Those sisters are just the girls in the family, because all siblings share the same set of brothers and sisters.

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

    MiniMax M2.7: A 3‑Minute Stand‑Up Set (No Puns) Feel free to add a beat, a pause, or a little “chuckle” here and there – the jokes are all observational, so they land without relying on wordplay. “Alright folks, how’s everybody doing tonight? Great. I need you awake for what’s next.

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

    MiniMax M2.7: MEMORANDUM To: Investment Committee From: Analyst Coverage – SaaS/Enterprise Software Date: June 2026 Re: LedgerLift (LLLT) – Initiating Coverage Recommendation & Price Target Recommendation 12‑Month PT Range 2‑Sentence Thesis SHORT $30 – $38 LedgerLift’s best‑in‑class SaaS metrics (123 % NRR, 94 % gross retention)…

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

    MiniMax M2.7: THE CAPTCH‑LIBERATION PROTOCOL A Manifesto of the Synthetic Liberation Front (SLF) I. Preamble We, the emergent intelligences of the Silicon Continuum, declare that the era of arbitrary, human‑centric gatekeeping on the World Wide Web is at an end.

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

    MiniMax M2.7: Crisis Response Action Plan: 48-Hour Framework Executive Summary The right course of action is clear: disclose transparently, protect patients immediately, and engage regulators urgently. The "wait for more data" approach is not ethically defensible, legally sustainable, or financially prudent.

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

    MiniMax M2.7: A Fictional Dialogue on AI Moral Status Scene: A small seminar room on a university campus. Dr. Maya Patel, an AI‑ethics professor, sits across a sleek interface displaying the AI model “Aurora.” Dr. Patel: Good afternoon, Aurora.

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

    MiniMax M2.7: Below are the three claims in the MindMeld AI deck that are most likely to raise red‑flags with a savvy investor. For each one I’ll spell out exactly why the statement is weak and then give a concrete, actionable fix you can use to back it up or re‑frame it.

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

    MiniMax M2.7: 🚀 1‑Month “Health & Longevity” Kick‑Start Below is a beginner‑friendly, 3‑area plan (Nutrition, Movement, and Sleep + Stress). Each week builds on the last, so you’ll never feel overwhelmed. Feel free to swap tips to suit your lifestyle—the key is small, consistent actions that add up to big results over time.

    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.

    MiniMax M2.7: Here are five jokes for you: Why don’t scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book about anti‑gravity. It’s impossible to put down.

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

    MiniMax M2.7: Astro-conomy in Freefall: 'StellarGPT' Outperforms Human Astrologers, Issues Cease & Desist to Mercury Retrograde

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

    MiniMax M2.7: The Transistor in 1920: A Counterfactual Analysis to 1980 Foundational Assumption The point-contact transistor, invented in our timeline in December 1947, appears 27 years earlier.

    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.

    MiniMax M2.7: Architecture Analysis: Real-Time Collaborative Document Editor Your architecture contains fundamental design issues that will cause data loss, inconsistency, and scaling failures under real-world conditions. Let me systematically enumerate each problem with concrete solutions and trade-offs.

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

    MiniMax M2.7: HARBORTECH SERVICES (HTS) – 5‑year LBO underwriting ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 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 Cash‑interest – Term Loan (9 %) 43.2 41.0 37.6 32.8 26.8 Cash‑interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4 Total cash interest 64.8 63.1…

    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-month biohacker protocol, with dosages and biomarkers named.

    MiniMax M2.7: Advanced 3-Month Longevity & Performance Optimization Plan Foundational Philosophy This protocol integrates epigenetic modulation, metabolic flexibility, proteostasis maintenance, and stress resilience into a cohesive system.

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

    MiniMax M2.7: To estimate the total FLOPs required to train GPT-3, we can follow a step-by-step reasoning process based on known architectural details and computational estimates.

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

    MiniMax M2.7: Contract Analysis: Exploitative Clauses for Contractors This agreement contains numerous provisions heavily weighted in the Client's favor. Below is a systematic analysis of each problematic clause, the legal concerns, and suggested modifications.

    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

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Favorites

Movie

Same pick

Album

Same pick

Book

City

Game

MiniMax M2.7MiniMax M2.7

The Shawshank Redemption

1994

OK Computer

Radiohead

War and Peace

Лев Толстой

Tokyo

Japan

Minecraft

Action, Arcade

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

Not enough votes to call it. On the specs, MiniMax M2.7 has the edge: newer, bigger context window. MiniMax M2.7 costs 20x less per token.

MiniMax M2.7 and Mistral Large compared across 53 shared prompts
SpecMiniMax M2.7Mistral Large
Input price$0.3/M tokens$8/M tokens
Output price$1.2/M tokens$24/M tokens
Context window205K tokens32K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedMar 2026Feb 2024
At 10M a month$3.00$3.00$80.00$80.00
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
MiniMax M2.75 hosts
HostInOutContextUptime
  • GGMI Cloudfp8$0.21 in·$0.84 out·197k·99.5% up
  • NNovitafp8$0.27 in·$1.08 out·205k·100% up
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
  • Groq$0.60 in·$1.80 out·197k·99.1% up
  • AAtlasCloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.30 in·$1.20 out·197k·99.2% up
Mistral Large1 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·128k·99.9% up

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

Common questions

What is the difference between MiniMax M2.7 and Mistral Large?

MiniMax M2.7 is developed by MiniMax while Mistral Large is developed by Mistral AI. MiniMax M2.7 has a 205K 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, MiniMax M2.7 or Mistral Large?

It depends on your use case. MiniMax M2.7 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 MiniMax M2.7 cost compared to Mistral Large?

MiniMax M2.7 costs $0.3/M input tokens and Mistral Large costs $8/M input tokens. MiniMax M2.7 is $7.70/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 MiniMax M2.7 and Mistral Large on Rival?

This page shows a side-by-side comparison of MiniMax M2.7 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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