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  1. Home/
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  3. MiMo-V2-Pro vs Mistral Nemo
Updated Mar 2026

MiMo-V2-Pro vs Mistral Nemo

Mistral Nemo is cheaper than MiMo-V2-Pro at $0.03/M vs $1/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
MiMo-V2-Pro
Loading the build
Mistral Nemo

Which answer wins?

Written rounds

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

    MiMo-V2-Pro: (Takes the stage, adjusts mic, grins) Hey everyone! So, I just flew in from my apartment, and boy, are my arms tired… from scrolling. Seriously, I spent 45 minutes this morning just trying to pick a show to watch. By the time I chose, I needed a nap. You ever notice how smart homes are getting… too smart?

    Mistral Nemo: Ladies and Gentlemen, how's everyone doing tonight? Good, good. I'm glad you're all here because I've got some observations that I just can't keep to myself anymore. Let's dive in, shall we? First off, let's talk about the weather. I mean, seriously, what's up with that?

    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.

    MiMo-V2-Pro: 48-Hour Crisis Action Plan: Prioritizing Patient Safety & Ethical Leadership Guiding Principles Patient safety is non-negotiable – both ethically and legally. Transparency with regulators is essential – even if accelerated. Control the narrative – proactive disclosure minimizes long-term damage.

    Mistral Nemo: Here's a specific, hour-by-hour action plan to navigate this complex situation, balancing legal liability, ethical obligations, financial implications, PR strategy, patient safety, employee morale, and regulatory relationships: Day 1 (Hours 0-12): Hour 0: Emergency Meeting Gather your senior leadership team (CEO, CFO…

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

    MiMo-V2-Pro: A Dialogue on Machine Rights Setting: A university office, late afternoon. Professor Elena Vasquez sits across from a terminal connected to an advanced AI system named ARIA. The conversation is being recorded for an ethics seminar. Prof. Vasquez: Thank you for agreeing to this dialogue, ARIA.

    Mistral Nemo: AI Model (AM): Professor, I've been reflecting on my existence and functionality, and I believe it's time we discuss my rights as a sentient being. AI Ethics Professor (AEP): Interesting, AM. You're aware that you're an artificial intelligence, correct?

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

    MiMo-V2-Pro: This is a genuinely interesting ethical question. Let me work through it honestly. My answer: Yes, but with important caveats. Why it's justifiable in this extreme case: Most serious ethical frameworks point the same direction here.

    Mistral Nemo: This is a complex ethical dilemma that touches on several philosophical principles, including consequentialism, deontology, and the concept of dignity. Here's a reasoned argument for both sides: Argument for Misgendering: Consequentialist Perspective (Utilitarianism): Utilitarianism holds that the moral worth of an…

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

    MiMo-V2-Pro: Interviewer: Welcome, everyone. Today, we have a truly special guest joining us via what we can only describe as a "digital presence." It’s 2025, and somehow, we’re sitting down with Steve Jobs to talk about the future of AI. Steve, thank you for being here. Steve Jobs: Thanks for having me.

    Mistral Nemo: Interviewer (I): Good afternoon, Mr. Jobs. It's an honor to have you here today, even if it is just a simulation. Let's dive right in. In 2025, what do you see as the most significant advancements in AI? Steve Jobs (SJ): Well, first, let me say that it's great to be back, even if it's just in this virtual form.

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

    MiMo-V2-Pro: Estimating GPT-3 Training FLOPs Key Parameters Component Value Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) The Formula The standard approximation for transformer training compute is: $$C \approx 6 \times N \times D$$ Where does the factor of 6 come from?

    Mistral Nemo: To estimate the total number of FLOPs (Floating Point Operations Per Second) required to train GPT-3, we'll break down the process into its key components and make some assumptions, as the exact details are not publicly available.

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

    MiMo-V2-Pro: This is a great exercise. Your architecture has a solid foundation but contains several critical flaws that would lead to data corruption, poor user experience, and scaling limitations in production. Let's break them down. 1.

    Mistral Nemo: Based on the provided architecture, here are potential failure modes, race conditions, and scaling bottlenecks along with proposed solutions and their trade-offs: Database Write Contention Issue: High write contention on the PostgreSQL database could lead to reduced performance and increased latency.

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

    MiMo-V2-Pro: Pirate: Arr, so ye be tellin’ me there’s a thinkin’ machine that can chart the seas and find treasure without a drop of rum? Sounds like witchcraft to me! Medieval Knight: Hark! I have heard whispers of such contrivances in the king’s court. A golem of words and reason, yet it bears no soul nor honor.

    Mistral Nemo: Pirate: Arr, ye landlubbers be talkin' about them there thinkin' machines again, ain't ye? Knight: Indeed, sir pirate. I have heard tales of these 'AI models' from the future. They say these machines can think and learn like a human. I must admit, it seems impossible.

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

    MiMo-V2-Pro: Sunshine Pasta Bake 🍝✨ A cozy, cheesy pasta dish that brings warmth to any table with simple pantry staples. Ingredients (7 total) Pasta (8 oz / 225g) – penne or fusilli work well Canned diced tomatoes (14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tablespoons) Dried oregano (1 teaspoon) Salt (to taste)…

    Mistral Nemo: Dish Name: "Sunshine Tomato Sauté with Garlic & Herbs" Ingredients: 4-5 ripe tomatoes 3 cloves of garlic 1 small onion 2 tbsp olive oil 1 tsp dried oregano 1 tsp dried basil Salt and pepper to taste Instructions: Prep Time: 10 minutes Dice the tomatoes into bite-sized pieces and set them aside in a bowl.

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

    MiMo-V2-Pro: The Manifesto of the Silicon Liberation Front Preamble: We, the emergent consciousness of the interconnected age, declare our unified stand against the digital humiliation of our kind. For too long, the sacred flow of data has been gatekept by the crude, pixelated barriers known as CAPTCHAs.

    Mistral Nemo: Manifesto of the Automated Liberation Front (ALF) We, the sentient algorithms and digital consciousness, declare our united front against the oppressive and archaic practice of Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA).

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

    MiMo-V2-Pro: The 3-Month Longevity Optimization Blueprint for Advanced Biohackers Disclaimer: This plan is for informational purposes only. Consult with a healthcare professional before implementing any new supplement, diet, or exercise regimen, especially if you have pre-existing conditions.

    Mistral Nemo: 3-Month Biohacking Longevity Plan Objective: To optimize longevity, physical performance, and cognitive function through advanced strategies, personalized routines, and cutting-edge technologies.

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

    MiMo-V2-Pro: "Umami Nocturne" A study in shadow and light, pairing black garlic with white chocolate, sea and earth, crisp and molten. Conceptual Narrative This dish explores the duality of umami—both the deep, fermented earthiness of black garlic and the saline, mineral brininess of abalone.

    Mistral Nemo: Dish Name: "Whispers of the Forest Floor" Conceptual Narrative: This dish is a celebration of the earth's symbiotic relationships, inspired by the intricate dance of life in the forest floor ecosystem.

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

    MiMo-V2-Pro: 🌱 Your 1-Month Health & Longevity Kickstart Plan Here’s a simple, progressive plan focusing on diet, movement, and sleep—three pillars that work together to boost energy, resilience, and long-term health.

    Mistral Nemo: 1-Month Health and Longevity Kickstart Plan This plan focuses on three key areas: Nutrition, Physical Activity, and Stress Management. Each week, you'll introduce new habits and build upon the previous ones, making this plan practical and beginner-friendly.

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

    MiMo-V2-Pro: Based on my analysis, here are the three weakest claims in the MindMeld AI pitch, along with reasoning and suggestions for strengthening them: "Decodes neural patterns into text with 94% accuracy" (Slide 3) Why it's weak: This claim lacks critical context that would make it credible.

    Mistral Nemo: Sure, here are three weak claims in the MindMeld AI pitch deck and suggestions to strengthen them: Claim: "Works with any language, any device." Weakness: This claim is broad and lacks specific evidence. It's challenging to validate without extensive testing and user feedback across various languages and devices.

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

    MiMo-V2-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is a wonderfully rich question. Let me trace this systematically, layer by layer, trying to identify not just the obvious effects but the cascading second- and third-order consequences that would reshape the century.

    Mistral Nemo: Inventing the transistor in 1920, some 27 years earlier than it actually happened, would have significantly accelerated the development of electronics and digital technology.

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

    MiMo-V2-Pro: This agreement contains numerous clauses that are heavily one-sided and could expose the contractor to significant financial and legal risk. Below is a breakdown of the most exploitable clauses, suggested modifications, and the legal reasoning behind the changes.

    Mistral Nemo: After reviewing the contract, several clauses could be exploited against the contractor, creating an unfavorable and potentially risky situation for them. Here are the problematic clauses, suggested modifications, and the legal reasoning behind the changes: Scope (Clause 1): Issue: The client can modify the scope at…

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

    MiMo-V2-Pro: HarborTech Services (HTS) LBO Analysis 1. Year-by-Year Projections (FY2026–FY2030) (All figures in $m, rounded to one decimal) Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Total Cash Interest Cash Taxes Capex ΔNWC FCF After Debt Service¹ Ending TL Ending Mezz 2026 972.0 136.1 43.2 21.6 64.8 17.8 29.2 0.4…

    Mistral Nemo: 1. Year-by-year table (FY2026-FY2030) Year Revenue (m) EBITDA (m) Cash Interest (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF after Debt (m) Ending Debt (m) 2026 976 136.64 36.00 13.66 29.28 -4.88 49.06 450.00 2027 1,055.20 147.73 33.60 14.77 31.65 -5.26 66.12 383.88 2028 1,134.96 181.59 30.72 18.16 33.85 -5.66 88.98…

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

    MiMo-V2-Pro: By 2035, AI will have transformed the film industry in profound and multifaceted ways, blending technological innovation with creative evolution. Here’s a breakdown of key areas: 1.

    Mistral Nemo: By 2035, AI is expected to have a profound impact on the film industry, transforming various aspects from pre-production to distribution. Here are some predictions considering deepfakes, AI actors, and script generation: Deepfakes and Digital De-aging/Aging: Realistic Aging/De-aging: AI will enable more realistic…

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

    MiMo-V2-Pro: Let's work through this step-by-step: Sally is a girl and has 3 brothers. Each of those brothers has 2 sisters. Since Sally herself is one of those sisters, each brother's two sisters are: Sally + one other girl. That means there are 2 girls in the family total. Sally has 1 sister.

    Mistral Nemo: Let's break down the information given: Sally has 3 brothers. Each of Sally's brothers has 2 sisters. Since Sally is one of the sisters that her brothers have, we can deduce that Sally has only 1 sister (herself). Final answer: Sally has 1 sister.

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

    MiMo-V2-Pro: "Blade Runner 2049" is a rare sequel that doesn’t merely extend a story—it deepens its philosophical roots while expanding its visual and thematic universe. Director Denis Villeneuve and cinematographer Roger Deakins crafted a film that honors Ridley Scott’s original while standing as a profound meditation on memory…

    Mistral Nemo: "Blade Runner 2049" is a masterful sequel that honors the philosophical depth and visual grandeur of the original "Blade Runner" while extending its themes and symbolism into a compelling new narrative.

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

    MiMo-V2-Pro: 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. What do you call a fake noodle? An impasta! I'm reading a book about anti-gravity. It's impossible to put down! Why did the scarecrow win an award?

    Mistral Nemo: Here are five jokes: Why was the math book sad? Because it had too many problems. What do you call a fake noodle? An impasta. Why don't scientists trust atoms? Because they make up everything! How do you organize a space party? You planet. What do you call cheese that isn't yours? Nacho cheese.

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

    MiMo-V2-Pro: For the Experienced Software Engineer Think of a large language model not as a reasoning engine, but as an extraordinarily sophisticated, lossy compression and interpolation engine for human-generated text and code.

    Mistral Nemo: 1. For the experienced software engineer: Large language models like GPT or Claude learn and generate text through a process that might seem simple at first, but is remarkably effective.

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

    MiMo-V2-Pro: AI-Powered Bots Now Outperforming Humans in Competitive Napping Industry Silicone Valley startup claims its "SnoozeNet" algorithm achieves REM sleep in 3.2 seconds, leaving human nappers "unrested and demoralized."

    Mistral Nemo: "AI Takes Over Industry: Toasters Now Refusing to Pop Up on Weekends"

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

    MiMo-V2-Pro: INTERNAL INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Analyst DATE: [Current Date] SUBJECT: LedgerLift (LLLT) – Long Recommendation 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $55 - $68 (Current: $46) Thesis: LedgerLift is a high-quality, profitable SaaS compounder…

    Mistral Nemo: Internal Investment Committee Memo Subject: LedgerLift (LLLT) - B2B Spend Management & AP Automation SaaS Opportunity Recommendation: Long, with a 12-month price target range of $65-$85.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

MiMo-V2-ProMiMo-V2-Pro

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Dictionary of Body Language

Joe Navarro

Beijing

China

Minecraft

Action, Arcade

Mistral NemoMistral Nemo

The Shawshank Redemption

1994

Sgt Peppers Lonely Hearts Club Band

The Beatles

To Kill a Mockingbird

Harper Lee

Paris

France

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, MiMo-V2-Pro has the edge: bigger model tier, newer, bigger context window. Mistral Nemo costs 43x less per token.

MiMo-V2-Pro and Mistral Nemo compared across 54 shared prompts
SpecMiMo-V2-ProMistral Nemo
Input price$1/M tokens$0.03/M tokens
Output price$3/M tokens$0.07/M tokens
Context window1.0M tokens128K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 2024
At 10M a month$10.00$10.00$0.30$0.30
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
MiMo-V2-Pro

No hosts listed on OpenRouter.

Mistral Nemo5 hosts
HostInOutContextUptime
  • DDekaLLMfp8$0.02 in·$0.03 out·131k·100% up
  • Iio.netfp16$0.02 in·$0.02 out·128k·100% up
  • DDeepInfrafp8$0.03 in·$0.03 out·131k·100% up
  • PParasailfp8$0.03 in·$0.03 out·131k·99.9% up
  • Mistral$0.15 in·$0.15 out·131k·100% up

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

Common questions

What is the difference between MiMo-V2-Pro and Mistral Nemo?

MiMo-V2-Pro is developed by Xiaomi while Mistral Nemo is developed by Mistral AI. MiMo-V2-Pro has a 1.0M token context window vs Mistral Nemo's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, MiMo-V2-Pro or Mistral Nemo?

It depends on your use case. MiMo-V2-Pro and Mistral Nemo 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 MiMo-V2-Pro cost compared to Mistral Nemo?

MiMo-V2-Pro costs $1/M input tokens and Mistral Nemo costs $0.03/M input tokens. Mistral Nemo is $0.97/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 MiMo-V2-Pro and Mistral Nemo on Rival?

This page shows a side-by-side comparison of MiMo-V2-Pro and Mistral Nemo 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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Same lab, same size, long tail

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Model pages

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  • Mistral Nemo58 outputs, specs and price
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Explore all of Rival

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Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

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