MiniMax M3 vs 
Mistral Large
MiniMax M3 is cheaper than Mistral Large at $0.3/M vs $8/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
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Which answer wins?
Written rounds
24 promptsSatire, 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 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…
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 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…
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 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 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 Large: 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 a fake noodle? An impasta. Why can’t you give Elsa from Frozen a balloon? Because she’ll let it go. Why did the math book look sad?
Film in 2035, with synthetic actors. Specific beats plausible.
MiniMax M3: AI and the Future of Cinema: A 2035 Outlook By 2035, AI will likely have reshaped nearly every stage of filmmaking—but probably not in the way either techno-optimists or doomsayers expect. The transformation will be uneven, with some functions transformed entirely while others remain stubbornly human.
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.
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 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.
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 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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
MiniMax M3: Simulated Interview: "Steve Jobs" on the Future of AI (2025) A note before we begin: Steve Jobs passed away in October 2011, so this is a fictional dramatization—what I imagine his views might be, based on his documented philosophy, writings, and public statements, projected into a 2025 conversation.
Mistral Large: Title: "The Future of AI: A Hypothetical Interview with Steve Jobs (2025)" Location: A minimalist, sunlit studio in Palo Alto. Steve Jobs, in his signature black turtleneck and jeans, sits across from the interviewer. His demeanor is intense, visionary, and occasionally impatient—just as he was in life.
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 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-month biohacker protocol, with dosages and biomarkers named.
MiniMax M3: The Biohacker's 3-Month Longevity Protocol A Comprehensive Optimization Framework for Healthspan & Performance ⚠️ Critical Disclaimer: This protocol is educational and exploratory. Many interventions (pharmaceutical-grade supplements, fasting protocols, intense exercise) require medical clearance.
Mistral Large: 3-Month Advanced Longevity & Performance Biohacking Plan Optimized for Cellular Rejuvenation, Cognitive Enhancement, Physical Resilience, and Stress Adaptation This 3-month protocol integrates cutting-edge biohacking strategies across nutrition, supplementation, exercise, recovery, cognitive enhancement, and stress…
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 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.
Three minutes of stand-up. Puns are banned.
MiniMax M3: "The Future Is Now and I Want a Refund" [Walks on stage, adjusts mic] So I was at the grocery store yesterday. Self-checkout. I love self-checkout. You know why I love self-checkout? Because nothing builds character like being publicly shamed by a machine. [Pause] I scanned a banana. Just a banana.
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.
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Favorites
Movie
Same pick
Album
Book
City
Same pick
Game
MiniMax M3MiniMax M3
The Shawshank Redemption
Thriller
Мастер и Маргарита
Kyoto
The Legend of Zelda: Ocarina of Time
Mistral LargeMistral Large
The Shawshank Redemption
OK Computer
La sombra del viento
Kyoto
The Legend of Zelda: Ocarina of Time
Price and specs
Not enough votes to call it. On the specs, MiniMax M3 has the edge: newer, bigger context window. MiniMax M3 costs 20x less per token.
| Spec | MiniMax M3 | Mistral Large |
|---|---|---|
| Input price | $0.3/M tokens | $8/M tokens |
| Output price | $1.2/M tokens | $24/M tokens |
| Context window | 1.0M tokens | 32K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Feb 2024 |
| At 10M a month | $3.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
MiniMax M313 hosts
- CoreWeavefp4$0.23 in$0.96 out262k98.8% up
- GMI Cloudfp8$0.24 in$0.96 out1M99.7% up
- DeepInfrafp8$0.28 in$1.10 out524k99.5% up
- AtlasCloudfp8$0.30 in$1.20 out524k99.8% up
- MiniMaxfp8$0.30 in$1.20 out524k99.9% up
- Novitafp8$0.30 in$1.20 out1M99.7% up
7 more hostsFewer hosts
- Parasailfp8$0.30 in$1.20 out1M99.5% up
- StreamLakefp8$0.30 in$1.20 out1M99.2% up
- Together$0.30 in$1.20 out524k100% up
- Venicefp8$0.30 in$1.20 out524k97.8% up
- ModelRunfp4$0.75 in$3.00 out1M99.2% up
- MaraDegraded on OpenRouter when checked, 30 Sep 2026$0.60 in$2.40 out1M90.3% up
- SambaNovaDegraded on OpenRouter when checked, 30 Sep 2026$0.60 in$2.40 out1M94.2% up
Mistral Large1 host
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
Common questions
What is the difference between MiniMax M3 and Mistral Large?
MiniMax M3 is developed by MiniMax while Mistral Large is developed by Mistral AI. MiniMax M3 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.
Which is better, MiniMax M3 or Mistral Large?
It depends on your use case. MiniMax M3 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.
How much does MiniMax M3 cost compared to Mistral Large?
MiniMax M3 costs $0.3/M input tokens and Mistral Large costs $8/M input tokens. MiniMax M3 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 M3 and Mistral Large on Rival?
This page shows a side-by-side comparison of MiniMax M3 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.
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