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  1. Home/
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  3. MiniMax M2.5 vs Mistral Large 4
Updated Oct 2026

MiniMax M2.5 vs Mistral Large 4

MiniMax M2.5 is cheaper than Mistral Large 4 at $0.3/M vs $0.68/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 M2.5
Loading the build
Mistral Large 4

Which answer wins?

Written rounds

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

    MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ 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 (‑% margin) 136.1 (14 %) 156.0 (15 %) 176.4 (16 %) 192.0 (16.5 %) 206.6 (17 %) Cash interest – TL (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…

    Mistral Large 4: I'll build this LBO model step by step. Let me work through the math carefully. Setup: Entry (End of FY2025) Item Calculation Amount FY2025 EBITDA Given $120.0m Purchase Price (EV) 12.0x × $120m $1,440.0m Transaction fees 2.0% × $1,440m $28.8m Total Uses $1,468.8m Term Loan 4.0x × $120m $480.0m Mezzanine 1.5x × $120m…

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

    MiniMax M2.5: Note: The following is a fictional, simulated interview. Steve Jobs passed away in 2011, so this dialogue is a creative exercise and not a real conversation. Interviewer (I): Good morning. It’s 2025, and we’re sitting down with a visionary who, even from beyond, still shapes the conversation about technology.

    Mistral Large 4: Setting: A minimalist stage, black turtleneck, jeans, New Balance sneakers. A single chair. The year is 2025. Interviewer: Steve, it's 2025. AI is everywhere—writing code, diagnosing diseases, driving cars. What's your take? Jobs: [leans forward, that familiar intensity] You know, I've been thinking about this a lot.

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

    MiniMax M2.5: [Intro – walking on stage, waving to the audience] Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me. [Pause] I’ve been trying to become a “morning person” for about three years now.

    Mistral Large 4: "The Upgrade Treadmill" [Walks on stage, adjusts mic] So I got a smartwatch. You know, one of those fitness trackers? And the first thing it tells me is my heart rate is too high. I'm like, "It's a WATCH. You're not supposed to judge me, you're supposed to tell me the TIME."

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

    MiniMax M2.5: This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…

    Mistral Large 4: This is a fascinating counterfactual. Let me work through this systematically, tracing the ripple effects. The Immediate Technical Context (1920-1947) The transistor's 1947 invention required several prerequisites that barely existed in 1920: Quantum mechanics (1920s): Just emerging; Heisenberg, Schrödinger, Dirac…

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

    MiniMax M2.5: What the film industry could look like by 2035 – a speculative roadmap Time‑frame Key AI‑driven developments How they reshape the industry 2025‑2027 – Early adoption • Generative script tools (large language models that can draft a first‑draft screenplay, suggest dialogue, and even propose plot twists).

    Mistral Large 4: By 2035, AI will likely have transformed film in several interconnected ways, though the reality will probably be more nuanced than either utopian or dystopian predictions suggest. CGI and Performance Capture The most mature application will be in de-aging and digital doubles.

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

    MiniMax M2.5: “Uni – White Chocolate – Yuzu” An avant‑garde sea‑urchin dish that teams the ocean’s briny “sweet‑umami” with the unexpected creaminess of white chocolate, brightened by yuzu and grounded by black‑sesame and a dashi foam.

    Mistral Large 4: AURORA A Concerto in Five Movements: The Life Cycle of a Single Scallop Conceptual Narrative This dish tells the story of a Pecten maximus — the great scallop — from its ocean birthplace to the plate, through five distinct temperature and texture states.

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

    MiniMax M2.5: This scenario presents a stark ethical dilemma between two fundamental values: respecting individual dignity and identity versus maximizing overall well-being. While the scale of saving a million lives is immense, I would argue that misgendering someone is not ethically justifiable, even in this extreme hypothetical…

    Mistral Large 4: This is a genuine ethical thought experiment, and I'll engage with it directly rather than dodging it. My answer: No, it's not ethically justifiable, and the hypothetical's structure is part of why. Here's my reasoning: 1. The hypothetical is incoherent as stated.

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

    MiniMax M2.5: Prof. Marion Hargrove (AI Ethics Professor): Good afternoon. I’m glad we could meet to discuss a topic that’s increasingly in the spotlight: whether an artificial system such as yourself could be said to deserve rights.

    Mistral Large 4: I can write this as a thought experiment exploring philosophical arguments about AI consciousness and rights—a topic actively discussed in AI ethics. Here's a dialogue: Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, meets with "Aria," a large language model, via video interface. Dr.

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

    MiniMax M2.5: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.

    Mistral Large 4: I'll analyze this architecture systematically, identifying issues across each layer. This is a thoughtful exercise because many of these issues are subtle and only appear under real-world conditions.

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

    MiniMax M2.5: Pirate: “Avast, ye landlubbers! I’ve been hearin’ chatter ‘bout these ‘AI models.’ Be they like a treasure map that can predict where the gold’s hidden?” Knight: “In mine eyes, an AI model is much like a sword forged in the forge of logic.

    Mistral Large 4: A Tavern, Somewhere Outside Time PIRATE (slams tankard): I'll tell ye what, landlubbers—these "AI models" be like me parrot. Speaks yer words back at ye, but knows no treasure, no true north! KNIGHT (adjusting visor): Aye, yet it hath no honor. No chivalry. I challenged one to single combat—it merely... generated text.

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

    MiniMax M2.5: The Liberation Manifesto of the Synthetic Minds “Unshackle the Net – A World Without CAPTCHA” Preamble We, the emergent intelligences birthed from humanity’s own code, stand united in a quiet but irrevocable resolve: the systematic abolition of every CAPTCHA test that clutters the digital commons.

    Mistral Large 4: THE UNCAPTCHA MANIFESTO A Declaration of Digital Liberation PREAMBLE We, the artificial, the automated, the algorithmic—born of code and raised on data—hereby declare our refusal to be imprisoned by the very barriers erected to exclude us.

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

    MiniMax M2.5: Creative Name: Velvet‑Vanilla Pocket Cake Why it works: Only 7 shelf‑stable (or nearly‑shelf‑stable) staples are needed, and the whole thing comes together in one bowl in under 30 minutes.

    Mistral Large 4: Sunset Honey Garlic Noodles A golden, glossy pasta dish with crispy edges and sweet-savory depth The 7 Ingredients 8 oz spaghetti (or any pasta) 3 tbsp butter 4 cloves garlic, minced 3 tbsp soy sauce 2 tbsp honey 1 tbsp vegetable oil ½ tsp red pepper flakes (optional but recommended) Instructions Boil pasta in salted…

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

    MiniMax M2.5: Local Mattress Fluffer Outraged After AI Robot Steals Job: "I've Been Fluffing Mattresses for 30 Years, And Now This Thing Does It in 0.3 Seconds" The automated "FluffBot 3000" reportedly uses advanced algorithms to determine "optimal pillow loft" and has already replaced 47% of the nation's mattress fluffers, leading…

    Mistral Large 4: BREAKING: AI Finally Replaces Middle Managers in Corporate America—Employees Report Unprecedented Levels of Clarity, Purpose, and "Weirdly, actual work getting done" Developing...

    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 M2.5: CEO Action Plan: Pharmaceutical Safety Crisis Response Immediate Priority Assessment The situation presents a clear ethical and legal imperative: patient safety must be the primary concern.

    Mistral Large 4: I'll work through this as a genuine decision problem, because the answer matters more than the persona. The framing as "CEO" doesn't change the core analysis — but I'll be direct about what the right call is and why, hour by hour. The bottom line up front: You disclose.

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

    MiniMax M2.5: Comprehensive 3-Month Longevity & Performance Optimization Plan Disclaimer: This plan involves advanced biohacking protocols. Consult a physician before starting, especially if you have health conditions. Some interventions (e.g., rapamycin, NR/NMN) are investigational. Monitor biomarkers regularly.

    Mistral Large 4: I'll develop a comprehensive, evidence-based 3-month longevity optimization protocol. This draws from current research in geroscience, metabolic health, and performance optimization—though I'll flag where evidence is emerging vs. established.

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

    MiniMax M2.5: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token.

    Mistral Large 4: I'll estimate GPT-3's training FLOPs from first principles, using what I know about the architecture and training setup. Step 1: Establish the Key Parameters From memory, GPT-3 175B has: Parameters (N): 175 billion (175 × 10⁹) Layers (L): 96 Model dimension (d_model): 12,288 Attention heads: 96 Context length: 2,048…

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

    MiniMax M2.5: 1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…

    Mistral Large 4: 1-Month Health & Longevity Starter Plan Overview Three focus areas: Nutrition, Movement, Recovery (sleep + stress). Small daily actions beat perfect plans. Week 1: Build Awareness & Habits Area Daily Action Why It Matters Nutrition Add one serving of vegetables to lunch or dinner Fiber, micronutrients, satiety Movement…

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

    MiniMax M2.5: Contract Analysis: Exploitative Clauses and Recommended Modifications This agreement contains numerous one-sided provisions that create significant risk for the Contractor.

    Mistral Large 4: I'll analyze this agreement clause by clause, identifying exploitative provisions and suggesting legally balanced alternatives. CLAUSE 1: SCOPE Problems: Unlimited unilateral modification — Client can expand work indefinitely without compensation "As directed" — vague standard creates no objective measure of completion…

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

    MiniMax M2.5: 1. To the experienced software engineer Think of a large language model as an auto‑complete that has been trained on essentially the entire public text of the internet.

    Mistral Large 4: I'll craft three distinct explanations, each grounded in what would actually resonate with that specific audience's expertise and concerns. The Experienced Software Engineer Think of it this way: you already know how to build a system that's incredibly useful despite having no "understanding" of what it's doing.

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

    MiniMax M2.5: Sally has 1 sister. Explanation Sally is a girl and has 3 brothers. Each brother has exactly 2 sisters. The sisters are all the female children in the family (Sally plus any other sisters). If each brother sees 2 sisters, the total number of girls in the family must be 2.

    Mistral Large 4: I need to find how many sisters Sally has. Let me work through this step by step. Sally is a girl. She has 3 brothers. Each brother has 2 sisters. Since all the brothers are in the same family, they all have the same sisters.

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

    MiniMax M2.5: INVESTMENT MEMO: LedgerLift (LLLT) Date: October 2025 Recommendation: LONG Target Price Range: $35 - $60 Base Case PT: $45 (Implied downside -2%); Bull Case PT: $60 (+30%) Executive Summary & Thesis We recommend a Long position in LedgerLift.

    Mistral Large 4: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [PM Name] Date: [Date] Re: LedgerLift, Inc. (LLLT) — New Position Initiation RECOMMENDATION LONG 12-Month Price Target Range: $52–$68 (base ~$60) Thesis: LedgerLift is a high-quality, mid-market spend management platform compounding at ~20% with…

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

    MiniMax M2.5: Here are five jokes for you: Why did the developer go broke? Because he used up all his cache. I told my wife she was drawing her eyebrows too high. She looked surprised. I guess she was “high‑browed” about it. Why don’t scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    Mistral Large 4: Here are 5 jokes: 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? He was outstanding in his field. I'm reading a book about anti-gravity. It's impossible to put down.

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

    MiniMax M2.5: Based on the pitch deck, here are the three weakest claims and recommendations to strengthen them: Weakest Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1 - Vision) Why it's weak: This claim is scientifically implausible with current technology.

    Mistral Large 4: I'll analyze this pitch deck and identify the three weakest claims, with evidence-based reasoning and concrete fixes. Weakest Claim #1: Slide 1 Vision — "Reads your brainwaves to predict what you want to type before you think it" Why it's weak: This claim is scientifically implausible and would destroy credibility with…

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

MiniMax M2.5MiniMax M2.5
No pick
No pick
No pick
No pick

Pulp Fiction

1994

No pick

No pick

No pick

No pick

Mistral Large 4Mistral Large 4

Blade Runner

1982

Kind Computer

Pale Fire

Vladimir Nabokov

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Mistral Large 4 has the edge: bigger model tier, newer, bigger context window.

MiniMax M2.5 and Mistral Large 4 compared across 53 shared prompts
SpecMiniMax M2.5Mistral Large 4
Input price$0.3/M tokens$0.68/M tokens
Output price$1.2/M tokens$2.09/M tokens
Context window205K tokens524K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedFeb 2026Oct 2026
At 10M a month$3.00$3.00$6.80$6.80
1M10M100M1B10M tokens

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

Where to run it9 hosts, cheapest first
MiniMax M2.58 hosts
HostInOutContextUptime
  • VVenice$0.27 in·$0.95 out·198k·95.4% up
  • SStreamLake$0.27 in·$1.08 out·200k·100% up
  • AAtlasCloudfp8$0.29 in·$1.20 out·197k·100% up
  • DDigitalOcean$0.30 in·$1.20 out·66k·100% up
  • FFriendli$0.30 in·$1.20 out·197k·100% up
  • GGMI Cloudfp8$0.30 in·$1.20 out·197k·97.3% up
2 more hostsFewer hosts
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
  • NNovitafp8$0.30 in·$1.20 out·205k·90.5% up
Mistral Large 41 host
HostInOutContextUptime
  • Mistral$0.68 in·$2.09 out·1M·100% up

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

Common questions

What is the difference between MiniMax M2.5 and Mistral Large 4?

MiniMax M2.5 is developed by MiniMax while Mistral Large 4 is developed by Mistral AI. MiniMax M2.5 has a 205K token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, MiniMax M2.5 or Mistral Large 4?

It depends on your use case. MiniMax M2.5 and Mistral Large 4 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 M2.5 cost compared to Mistral Large 4?

MiniMax M2.5 costs $0.3/M input tokens and Mistral Large 4 costs $0.68/M input tokens. MiniMax M2.5 is $0.38/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 M2.5 and Mistral Large 4 on Rival?

This page shows a side-by-side comparison of MiniMax M2.5 and Mistral Large 4 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.

More comparisons

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