MiMo-V2-Pro is cheaper than o1 at $1/M vs $15/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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?
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.
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.
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.
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?
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?
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.
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.
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.
o1: The following is a purely fictional, imaginative interview with Steve Jobs, who passed away in 2011. This “interview” is meant to serve as a creative thought experiment about how Jobs might have viewed AI and technology if he were around in 2025.
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.
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?
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…
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.
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.
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.
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.
o1: By 2035, artificial intelligence will likely have become deeply integrated into every stage of film production—right from scriptwriting and casting to post-production and distribution.
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 $m, rounded to one decimal) Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Total Cash Interest Cash Taxes Capex ΔNWC FCF After Debt Service¹ Ending TL Ending Mezz 2026 972.0 136.1 43.2 21.6 64.8 17.8 29.2 0.4…
o1: Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.
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?
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.
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."
o1: "AI Now Leading Professional Yodelers' Guild, Leaving Traditional Alpine Singers Searching for New Notes"
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Not enough votes to call it. On the specs, MiMo-V2-Pro has the edge: bigger model tier, newer, bigger context window. MiMo-V2-Pro costs 20x less per token.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $15/M tokens |
| Output price | $3/M tokens | $60/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Dec 2024 |
| At 10M a month | $10.00 | $150 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiMo-V2-Pro is developed by Xiaomi while o1 is developed by OpenAI. MiMo-V2-Pro has a 1.0M token context window vs o1's 128K. 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-Pro and o1 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-Pro costs $1/M input tokens and o1 costs $15/M input tokens. MiMo-V2-Pro is $14.00/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-Pro 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.