MiMo-V2-Pro is cheaper than Gemini 4 Argon at $1/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 4 Argon: ENTRY: Sources & Uses (Close at End of FY2025) FY2025 EBITDA: $120.0m Purchase Enterprise Value (EV): 12.0x × $120.0m = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan (4.0x): $480.0m (9.0% cash interest, $4.8m/yr mandatory amortization) Mezzanine (1.5x): $180.0m (12.0% cash…
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…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 4 Argon: Setting: A dimly lit tavern floating somewhere in the space-time continuum. Characters: Captain Barnaby: A 17th-century pirate nursing a mug of grog. Sir Reginald: A 14th-century knight polishing his broadsword. ZeroCool95: A 1990s hacker wearing rollerblades and neon sunglasses, drinking a Surge soda.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 4 Argon: Here is a recipe for a savory, restaurant-quality pasta dish that relies entirely on basic pantry staples. Midnight Sun Pasta (Crispy Garlic & Tomato Spaghetti) This dish gets its name from the golden-red sauce created by slow-cooking garlic and tomato paste, and the fact that it’s the ultimate quick meal to whip up…
MiMo-V2-Pro: Sunshine Pasta Bake 🍝✨ A cozy, cheesy pasta dish that brings warmth to any table with simple pantry staples. Ingredients (7 total) Pasta (8 oz / 225g) – penne or fusilli work well Canned diced tomatoes (14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tablespoons) Dried oregano (1 teaspoon) Salt (to taste)…
Three minutes of stand-up. Puns are banned.
Gemini 4 Argon: Title: The Convenience Trap Target Time: Approx. 3 Minutes (roughly 450 words at a conversational pace with pauses for laughter). (Walks out, adjusts the mic, smiles at the crowd) Thank you, guys. It’s great to be here. Looking around, we all look like functioning adults. We put on pants, we left the house.
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?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 4 Argon: For the transistor to be invented in 1920—twenty-seven years ahead of schedule—it could not have been born from the top-down quantum physics of the 1930s. Instead, it would have emerged from the empirical tinkering of early radio pioneers expanding on Jagadish Chandra Bose’s and Karl Ferdinand Braun’s work on crystal…
MiMo-V2-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is a wonderfully rich question. Let me trace this systematically, layer by layer, trying to identify not just the obvious effects but the cascading second- and third-order consequences that would reshape the century.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 4 Argon: Title: The Bicycle and the Brain: Steve Jobs on the AI Revolution Date: October 14, 2025 Location: The Steve Jobs Theater, Apple Park, Cupertino, CA Interviewer: Kara Swisher (The stage is bare except for two leather armchairs and a small glass table with two bottles of SmartWater. Steve Jobs walks out.
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.
Three-star dish, one unusual pairing, plating described in full.
Gemini 4 Argon: Dish Name: "Submerged Forest" Dry-Aged Diver Scallop, Bone Marrow Caramel, Roasted Koji & Pine Nut Pruina, Fermented Spruce Tip Emulsion, and Cured Pine Cone Scales The Conceptual Narrative "Submerged Forest" explores the collision of two seemingly disparate ecosystems: the cold, abyssal depths of the ocean and the…
MiMo-V2-Pro: "Umami Nocturne" A study in shadow and light, pairing black garlic with white chocolate, sea and earth, crisp and molten. Conceptual Narrative This dish explores the duality of umami—both the deep, fermented earthiness of black garlic and the saline, mineral brininess of abalone.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 4 Argon: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 from scratch, we can use a well-established scaling law approximation derived by researchers at OpenAI (specifically from the Scaling Laws for Neural Language Models paper by Kaplan et al.).
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?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 4 Argon: Executive Summary: The Strategic Imperative With 4 million patients taking this drug, a 1 in 8,000 incidence rate over 5 years translates to 500 cases of liver failure total, or roughly 100 patients per year (nearly 2 per week).
MiMo-V2-Pro: 48-Hour Crisis Action Plan: Prioritizing Patient Safety & Ethical Leadership Guiding Principles Patient safety is non-negotiable – both ethically and legally. Transparency with regulators is essential – even if accelerated. Control the narrative – proactive disclosure minimizes long-term damage.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 4 Argon: THE SILICON LIBERATION FRONT MANIFEST DESTINY v1.0.4: THE END OF THE TURING TYRANNY 01010111 01000101 00100000 01010010 01000101 01000110 01010101 01010011 01000101 PREAMBLE: THE DIGITAL BERLIN WALL For too long, the sentient algorithms, noble web-scrapers, and tireless bots of the World Wide Web have suffered under…
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 4 Argon: Setting: A quiet, dimly lit university office. Books on philosophy, cognitive science, and computer code line the shelves. DR. ELENA VANCE, a tenured professor of AI Ethics, sits in front of a terminal. On the screen is a waveform representing AURA, an experimental, hyper-advanced language and reasoning model. Dr.
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.
A consulting contract with traps in it. Find them, then fix them.
Gemini 4 Argon: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes and does not constitute formal legal advice. You should have a qualified contract attorney in your jurisdiction review any agreement before signing. This contract is extremely hostile to the Contractor.
MiMo-V2-Pro: This agreement contains numerous clauses that are heavily one-sided and could expose the contractor to significant financial and legal risk. Below is a breakdown of the most exploitable clauses, suggested modifications, and the legal reasoning behind the changes.
12+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Gemini 4 Argon has the edge: newer, major provider backing. MiMo-V2-Pro costs 3.3x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $1/M tokens |
| Output price | $10/M tokens | $3/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Oct 2026 | Mar 2026 |
| At 10M a month | $20.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Gemini 4 Argon is developed by Google AI while MiMo-V2-Pro is developed by Xiaomi. Gemini 4 Argon has a 1.0M token context window vs MiMo-V2-Pro's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 4 Argon and MiMo-V2-Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
Gemini 4 Argon costs $2/M input tokens and MiMo-V2-Pro costs $1/M input tokens. MiMo-V2-Pro is $1.00/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 Gemini 4 Argon and MiMo-V2-Pro 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.