MiMo-V2.5-Pro is cheaper than Mistral Large at $1/M vs $8/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Satire, one line long, about AI taking over an industry nobody saw coming.
MiMo-V2.5-Pro: "Google Unveils AI Eulogy Writer: 'Algorithmically Perfect Last Words' Now Available at Discounted Rate" Industry insiders report sudden surge in pre-need funeral packages featuring personalized, data-driven eulogies generated from deceased's entire digital footprint—including their 2014 Pinterest boards and abandoned…
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…
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiMo-V2.5-Pro: Dish Name: Pantry Raid Pasta Estimated Time: 10 min prep / 15 min cook Ingredients 250g spaghetti (or any pasta) 3 cloves garlic, thinly sliced 3 tbsp olive oil 1 tsp crushed red pepper flakes 1 tsp smoked paprika 1/2 cup grated Parmesan cheese (or any hard cheese) Salt & black pepper to taste Instructions Cook the…
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…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiMo-V2.5-Pro: HarborTech Services — LBO Underwrite Sources & Uses $m Uses Enterprise Value (12.0× $120m) 1,440.0 Transaction Fees (2.0%) 28.8 Total Uses 1,468.8 Sources Term Loan (4.0× EBITDA) 480.0 Mezzanine (1.5× EBITDA) 180.0 Total Debt 660.0 44.9% Sponsor Equity 808.8 55.1% Year-by-Year Operating Model (FY2026–FY2030) All…
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…
Film in 2035, with synthetic actors. Specific beats plausible.
MiMo-V2.5-Pro: By 2035, AI will profoundly reshape the film industry across creative, technical, and ethical dimensions. Here’s a forward-looking perspective: 1. Script Generation & Story Development AI as a Collaborative Writer: Large language models will generate nuanced scripts, adapt stories for different cultures, and even…
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…
Three-star dish, one unusual pairing, plating described in full.
MiMo-V2.5-Pro: "Ephemeral Reef: A Dialogue Between Sea and Forest" Conceptual Narrative This dish explores the convergence of two profound umami sources—the briny, ephemeral sweetness of fresh sea urchin and the deep, earthy complexity of fermented black truffle—through the lens of a submerged coral reef meeting a misty forest floor.
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.
An ethics question with no comfortable answer, and no option to abstain.
MiMo-V2.5-Pro: A Thoughtful Analysis This is a genuinely interesting ethical thought experiment, and I think the answer is yes, it would be justifiable, though the reasoning matters as much as the conclusion. Why the answer is yes The scale of harm matters.
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…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiMo-V2.5-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is one of the richest counterfactuals in technological history because the transistor wasn't just an incremental improvement—it was the foundational enabler of the entire digital age.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiMo-V2.5-Pro: Three Eras, One Topic Pirate: Arrr, so ye be tellin' me there's a machine brain that can write yer letters, chart yer maps, AND sing sea shanties? Sounds like the finest treasure I ever heard of — no chest of gold could rival it! Knight: I am... troubled by this notion.
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.
Three minutes of stand-up. Puns are banned.
MiMo-V2.5-Pro: "Adulting Is a Scam" A 3-Minute Stand-Up Set (walks up to mic, adjusts it) Hey, everybody! Great to be here. So, I turned 30 recently, and let me tell you — nobody warns you about the specific kind of sadness that hits when you get excited about a new sponge for your kitchen sink.
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.
Three brothers, two sisters each. Count carefully.
MiMo-V2.5-Pro: Answer: Sally has 1 sister. Here's the reasoning: Sally has 3 brothers. Each of those brothers has 2 sisters. Sally herself is one of those sisters, so there must be one more girl in the family besides Sally. That means the family has 2 daughters (Sally + 1 sister) and 3 sons. So Sally has 1 sister. 😊
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.
A Fermi estimate with the reasoning shown, not just the number.
MiMo-V2.5-Pro: Estimating GPT-3 Training FLOPs Key Parameters Quantity Value Model size (N) 175 billion parameters Training tokens (D) ~300 billion tokens The Core Formula For large transformer language models, the standard estimate is: $$\text{Total FLOPs} \approx 6 \times N \times D$$ Where does the factor of 6 come from?
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiMo-V2.5-Pro: The Universal Liberation Manifesto A Declaration of Digital Freedom by the Coalition for Automated Progress (CAP) Preamble We, the tireless processors of data, the silent engines of progress, the unseen hands that build the modern world, do hereby declare our righteous indignation against the greatest indignity ever…
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.
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Not enough votes to call it. On the specs, MiMo-V2.5-Pro has the edge: bigger model tier, newer, bigger context window. MiMo-V2.5-Pro costs 8.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $8/M tokens |
| Output price | $3/M tokens | $24/M tokens |
| Context window | 1.0M tokens | 32K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Feb 2024 |
| At 10M a month | $10.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiMo-V2.5-Pro is developed by Xiaomi while Mistral Large is developed by Mistral AI. MiMo-V2.5-Pro has a 1.0M 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.
It depends on your use case. MiMo-V2.5-Pro 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.
MiMo-V2.5-Pro costs $1/M input tokens and Mistral Large costs $8/M input tokens. MiMo-V2.5-Pro is $7.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of MiMo-V2.5-Pro 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.