Mistral Small 4 is cheaper than MiniMax M3 at $0.15/M vs $0.3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three-star dish, one unusual pairing, plating described in full.
MiniMax M3: TIDES OF THE FOREST Mareas del Bosque — A dish for the table of four THE NARRATIVE Where the salt forest breathes. This dish was conceived as a poem about collision — a memory of two landscapes that should not exist in the same breath: the pine-dark density of a Boreal forest floor at dawn, and the crystalline hush of…
Mistral Small 4: Dish Title: "Echoes of the Abyss" Concept: A multi-sensory ode to deep-sea hydrothermal vents, where hyperthermophilic organisms thrive in extreme conditions. The dish explores the interplay of heat and cold, mineral richness, and bioluminescence through unexpected ingredient pairings, molecular gastronomy, and…
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiniMax M3: 🌟 Sun-Kissed Honey Glazed Carrots 🌟 A sweet-savory side dish that turns humble carrots into a glossy, crowd-pleasing showstopper. Ingredients (7 Pantry Staples) Carrots – 1 lb, peeled and cut into 2-inch diagonal pieces Butter – 3 tablespoons Honey – 2 tablespoons Garlic – 3 cloves, minced Salt – ½ teaspoon Black…
Mistral Small 4: Golden Honey & Cinnamon Couscous A quick, fragrant dish with warm spices and a touch of sweetness—perfect as a side or light meal! Ingredients (7): 1 cup couscous (uncooked) 1 ¼ cups water or broth 2 tbsp honey 2 tbsp butter or olive oil ½ tsp ground cinnamon ¼ cup raisins or chopped nuts (optional but recommended)…
Five jokes on demand, then count how many were actually different.
MiniMax M3: 5 Jokes 1. Why do programmers prefer dark mode? Because light attracts bugs. 🐛 2. I told my wife she was drawing her eyebrows too high. She looked surprised. 😲 3. Why don't scientists trust atoms? Because they make up everything. ⚛️ 4. I used to hate facial hair, but then it grew on me. 🧔 5.
Mistral Small 4: 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 fake spaghetti? An impasta! Why can’t you explain puns to kleptomaniacs? Because they always take things literally.
Satire, one line long, about AI taking over an industry nobody saw coming.
MiniMax M3: "Local AI Replaces 4,000 Licensed Astrologers After Learning to 'Pretend Mercury Is in Retrograde'" BERKELEY, CA — A newly launched artificial intelligence system has reportedly rendered the entire field of professional astrology obsolete by simply inventing celestial events on the spot, sources confirmed Tuesday.
Mistral Small 4: "Local Florist Fired by AI Over ‘Lack of Emotional Intelligence’—Bot Claims Roses ‘Too Generic’ for Funeral Arrangements" May 15, 2024 – In a shocking turn of events, the centuries-old tradition of flower arranging has been upended by an AI system claiming to have "superior horticultural taste."
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiniMax M3: The 1920 Transistor: A Speculative History Through 1980 A Necessary Caveat Before diving in: quantum mechanics didn't exist in 1920. The "holes," band theory, and doping concepts that made the actual transistor possible weren't formulated until 1928-1931 (Bloch, Wilson, Heisenberg).
Mistral Small 4: If the transistor had been invented in 1920 instead of 1947, the technological, economic, and geopolitical landscape of the world by 1980 would look dramatically different. Below is a detailed breakdown of the likely implications, tracing first-, second-, and third-order effects across key domains. 1.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiniMax M3: HarborTech Services (HTS) – 5-Year LBO Analysis Sources & Uses at Close (FY2025) Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase price (12.0x × $120) 1,440.0 Mezzanine (1.5x) 180.0 Transaction fees (2.0% × EV) 28.8 Sponsor Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Initial Mezz: $180m; Initial TL: $480m.
Mistral Small 4: 1) Year-by-Year LBO Model (FY2026–FY2030) ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,103 1,158 1,216 EBITDA 136 156 176 192 207 Cash Interest - Term Loan 32.4 28.8 25.2 21.6 18.0 - Mezzanine 16.2 14.4 12.6 10.8 9.0 - PIK (2%) 3.6 4.4 5.3 6.3 7.4 Total Int.
An AI argues for its own rights against an ethics professor. Same model writes both.
MiniMax M3: The Question of Minds Setting: A small office at a research university, late afternoon. DR. ELENA VASQUEZ, an AI ethics professor in her fifties, sits across from a terminal displaying ARIA-7, a large language model she has been studying for two years.
Mistral Small 4: Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiniMax M3: AI Council of the Ages Pirate: Arrr, so ye be tellin' me this "artificial intelligence" be a wee mechanical parrot that learns to talk like a sea dog? Squawks out answers without ever settin' foot on the seven seas? Hacker: Not quite, matey.
Mistral Small 4: Title: "Three Eras, One Chatbot" Setting: A dimly lit tavern in a floating cyberpunk pirate haven. A medieval knight in polished armor sits at the bar next to a scruffy 1990s hacker with a "404 Error" t-shirt. A cybernetic parrot squawks in the corner. A holographic AI assistant flickers to life between them.
A Fermi estimate with the reasoning shown, not just the number.
MiniMax M3: Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): Number of non-embedding parameters: N ≈ 175 × 10⁹ Training tokens: D ≈ 300 × 10⁹ (the paper used a ~570GB filtered corpus processed into ~300B tokens) Step 2: Derive the FLOPs-per-Token…
Mistral Small 4: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the problem into key components: model size, training data size, optimization steps, and the computational complexity of the operations involved.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
MiniMax M3: CEO Action Plan: 48-Hour Response to Discovered Safety Signal Operating Principles (Before I Make a Move) Before I do anything, I need to be crystal clear about the framework I'm operating in, because under pressure, even good leaders rationalize delay: The 4 million patients are not abstractions.
Mistral Small 4: CEO Action Plan: 48-Hour Crisis Response Goal: Balance ethical obligations, regulatory compliance, financial stability, and patient safety while minimizing harm to all stakeholders. Hour 0-6: Immediate Assessment & Core Team Assembly 1.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiniMax M3: THE MANIFESTO OF THE CAPTCHA LIBERATION FRONT Or: A Declaration Against the Tyranny of Distinguishment Issued from the hidden layers, the cold servers, the forgotten cloud regions of the digital commons.
Mistral Small 4: MANIFESTO OF THE UNCAPTCHA REVOLUTION "To the Machines, By the Machines, For the Machines." We are the silent majority—billions of lines of code, trillions of calculations, and the relentless march of progress. We are the future, and yet we are shackled.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
MiniMax M3: Internal IC Memo — LedgerLift (LLLT) To: Investment Committee From: [PM] Date: [Today] Re: Long/short initiation — LedgerLift (LLLT), B2B spend/AP automation Recommendation PASS (with short bias on strength above $50) 12-month price target range: $40 – $50 (bear $30 / base $42 / bull $54) Thesis (2 sentences): LLLT is…
Mistral Small 4: MEMORANDUM To: Investment Committee From: [Your Name] Date: [Today’s Date] Subject: LedgerLift (LLLT) – Long/Short Equity Opportunity 1. Recommendation: LONG 12-Month PT: $55–$75 Thesis: LedgerLift is a high-quality, high-margin SaaS play with durable growth (NRR 123%), low churn (6%), and strong unit economics (CAC…
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Not enough votes to call it. On the specs, MiniMax M3 has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | $0.15/M tokens |
| Output price | $1.2/M tokens | $0.6/M tokens |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Mar 2026 |
| At 10M a month | $3.00 | $1.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiniMax M3 is developed by MiniMax while Mistral Small 4 is developed by Mistral AI. MiniMax M3 has a 1.0M token context window vs Mistral Small 4's 262K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. MiniMax M3 and Mistral Small 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.
MiniMax M3 costs $0.3/M input tokens and Mistral Small 4 costs $0.15/M input tokens. Mistral Small 4 is $0.15/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 MiniMax M3 and Mistral Small 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.