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  1. Home/
  2. Compare/
  3. MiniMax M2.7 vs Mistral Large 2
Updated Mar 2026

MiniMax M2.7 vs Mistral Large 2

MiniMax M2.7 is cheaper than Mistral Large 2 at $0.3/M vs $8/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
MiniMax M2.7
Loading the build
Mistral Large 2

Which answer wins?

Written rounds

11 prompts
  • 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 2: As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.

    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 2: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!

    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 2: 1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.

    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 2: Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?

    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 2: Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.

    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 2: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects. Below is a detailed exploration of these implications through 1980, structured by domain.

    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 2: 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 management). Each week builds on the last, with small, sustainable changes.

    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 2: 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
  • 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 2: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple clauses that could be exploited, abused, or create unreasonable legal and financial risks for the Contractor.

    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 2: Ultimate 3-Month Longevity & Biohacking Optimization Plan Designed for a high-performance biohacker seeking to maximize lifespan, cognitive function, physical performance, and metabolic resilience.

    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 2: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.

    Every model's answer to this prompt

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 Large 2Mistral Large 2

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 2 compared across 23 shared prompts
SpecMiniMax M2.7Mistral Large 2
Input price$0.3/M tokens$8/M tokens
Output price$1.2/M tokens$24/M tokens
Context window205K tokens128K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 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
  • NNovitafp8$0.27 in·$1.08 out·205k·99.9% up
  • AAtlasCloudfp8$0.30 in·$1.20 out·197k·98.9% up
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
  • Groq$0.60 in·$1.80 out·197k·83.6% up
  • GGMI Cloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.21 in·$0.84 out·197k·98.1% up
Mistral Large 21 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·131k·100% 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 2?

MiniMax M2.7 is developed by MiniMax while Mistral Large 2 is developed by Mistral AI. MiniMax M2.7 has a 205K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

Which is better, MiniMax M2.7 or Mistral Large 2?

It depends on your use case. MiniMax M2.7 and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 23 challenges so you can judge which fits your needs best.

How much does MiniMax M2.7 cost compared to Mistral Large 2?

MiniMax M2.7 costs $0.3/M input tokens and Mistral Large 2 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 2 on Rival?

This page shows a side-by-side comparison of MiniMax M2.7 and Mistral Large 2 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

Against the newest arrivals

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  • Mistral Large 2 vs Mistral Large 4Landed Oct 2026
  • MiniMax M2.7 vs GPT-6.1 SolLanded Sep 2026
  • Mistral Large 2 vs Claude Sonnet 5.5Landed Sep 2026
  • MiniMax M2.7 vs Solar Mini 4Landed Sep 2026
  • Mistral Large 2 vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • MiniMax M2.7 vs MiniMax M2.5Version compare
  • MiniMax M2.7 vs MiniMax M3Version compare
  • Mistral Large 2 vs Mistral Large 3 2512Same lab
  • Mistral Large 2 vs Mistral Small 4Same lab
  • Mistral Large 2 vs Grok 4.5Same size
  • Mistral Large 2 vs Grok 4.6Same size
  • MiniMax M2.7 vs Grok 4.7Same size
  • MiniMax M2.7 vs Grok Code Fast 1New provider

Model pages

  • MiniMax M2.753 outputs, specs and price
  • Mistral Large 223 outputs, specs and price
Workshop · 150 skills

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