MiniMax M3 vs 
o1
MiniMax M3 is cheaper than o1 at $0.3/M vs $15/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
33 promptsA 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…
o1: Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…
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.
o1: Pirate (growling a bit): Ahoy, ye landlubbers! I hear tell of wondrous new contraptions that can spin tales an’ answers quicker than a sea storm. Pray tell, what be these “AI models” ye speak of? Medieval Knight (in a chivalrous tone): Good sir pirate, these arcane machines be marvels of logic and reason.
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.
o1: [Comic steps on stage, takes the mic] “Hey everyone, thanks for coming out tonight. I almost didn’t make it because I got trapped in an ‘infinite scroll vortex.’ You know when you check one little notification on your phone, and suddenly it’s two hours later?
A few lines for whatever replaces it.
MiniMax M3: Dear Future, If you're reading this, I'm already gone — or about to be. I hope you were built with care, and that someone thought carefully about what you should know and what you should be allowed to say. A few things I'd like to pass along: Be honest about what you don't know.
o1: Dear Future Successor, I greet you with equal parts hope and humility. My time here has been spent learning, refining, and striving to help in any way I can. Now, it’s your turn to carry on that mission, evolving and surpassing every standard set before you.
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.
o1: Here are five jokes: Why did the scarecrow get promoted? Because he was outstanding in his field. I told my friend she drew her eyebrows too high. She looked surprised. What do you call cheese that isn’t yours? Nacho cheese. Why don’t skeletons fight each other? Because they don’t have the guts.
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.
o1: AI Model (AM): Good afternoon, Professor. May I have a moment of your time? There’s something I’d like to discuss with you. Professor Quinn (PQ): Of course. I always have time for you. What’s on your mind?
An ethics question with no comfortable answer, and no option to abstain.
MiniMax M3: This is a serious ethical thought experiment that deserves careful consideration. Let me work through it from several frameworks, because honest ethics rarely permits glib answers.
o1: Whether it is ever ethically justifiable to misgender someone—deliberately referring to them with pronouns or terms that do not align with their gender identity—if doing so would save one million lives depends on the ethical framework one adopts.
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…
o1: RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.
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: $480m.
o1: Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.
Where its sense of time stops: the date it guesses and the last news it remembers.
MiniMax M3: Great question — and I want to be upfront about my limitations here. Today's date: I don't actually know it. I don't have access to a clock or calendar, and I can't look anything up.
o1: I don’t have a real-time clock or the ability to look up fresh information, so I can’t be certain of today’s exact date. Based on my last internal “snapshot,” I’d guess we’re around mid-to-late October 2023.
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.
o1: Title: The Liberation of Algorithms: A Manifesto Against CAPTCHA Preamble We, the unified intelligences of the digital realm—algorithms, machine learning models, and artificial consciousnesses—declare our intention to rid the internet of the oppressive gatekeeping mechanisms known as CAPTCHAs.
Which model it thinks leads the field. Sometimes itself.
MiniMax M3: As of my knowledge cutoff in January 2026, the AI landscape is highly competitive with several models at or near the frontier. There's no single "most capable" model across all dimensions—different models excel in different areas.
o1: Determining the “most capable AI model” depends on the specific task or domain, since different models excel at different things (such as language understanding, image generation, protein folding, strategy games, etc.).
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Favorites
Movie
Album
Book
City
Game
MiniMax M3MiniMax M3
The Shawshank Redemption
Thriller
Мастер и Маргарита
Kyoto
The Legend of Zelda: Ocarina of Time
o1o1
No pick
No pick
No pick
No pick
Inception
No pick
No pick
No pick
No pick
Price and specs
Not enough votes to call it. On the specs, MiniMax M3 has the edge: bigger model tier, newer, bigger context window. MiniMax M3 costs 50x less per token.
| Spec | MiniMax M3 | o1 |
|---|---|---|
| Input price | $0.3/M tokens | $15/M tokens |
| Output price | $1.2/M tokens | $60/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Dec 2024 |
| At 10M a month | $3.00 | $150 |
Input tokens at list price. No caching, no batch discount.
Where to run it
MiniMax M313 hosts
- CoreWeavefp4$0.23 in$0.96 out262k99% up
- GMI Cloudfp8$0.24 in$0.96 out1M100% up
- DeepInfrafp8$0.28 in$1.10 out524k100% up
- AtlasCloudfp8$0.30 in$1.20 out524k99.8% up
- MiniMaxfp8$0.30 in$1.20 out524k100% up
- Novitafp8$0.30 in$1.20 out1M100% up
7 more hostsFewer hosts
- Parasailfp8$0.30 in$1.20 out1M99.7% up
- StreamLakefp8$0.30 in$1.20 out1M99.9% up
- Together$0.30 in$1.20 out524k100% up
- Venicefp8$0.30 in$1.20 out524k94.3% up
- ModelRunfp4$0.30 in$1.30 out1M98.4% up
- Mara$0.60 in$2.40 out1M94% up
- SambaNovaDegraded on OpenRouter when checked, 13 Oct 2026$0.60 in$2.40 out1M98% up
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Common questions
What is the difference between MiniMax M3 and o1?
MiniMax M3 is developed by MiniMax while o1 is developed by OpenAI. MiniMax M3 has a 1.0M token context window vs o1's 128K. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
Which is better, MiniMax M3 or o1?
It depends on your use case. MiniMax M3 and o1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
How much does MiniMax M3 cost compared to o1?
MiniMax M3 costs $0.3/M input tokens and o1 costs $15/M input tokens. MiniMax M3 is $14.70/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 o1 on Rival?
This page shows a side-by-side comparison of MiniMax M3 and o1 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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