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  1. Home/
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  3. Inkling vs MiMo-V2-Pro
Updated Jul 2026

Inkling vs MiMo-V2-Pro

Inkling is the newer model, released after MiMo-V2-Pro.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Inkling
Loading the build
MiMo-V2-Pro

Which answer wins?

Written rounds

24 prompts

  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Inkling: Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…

    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)…

    Every model's answer to this prompt

  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Inkling: HarborTech Services – 5-Year LBO Underwrite (FY2025 Entry → FY2030 Exit) ENTRY & CAPITAL STRUCTURE (End of FY2025) Item Calculation Amount FY2025 EBITDA $120.0m Purchase Price (12.0x) 12.0 × 120 $1,440.0m Transaction Fees (2.0%) 2.0% × 1,440 $28.8m Total Uses $1,468.8m Term Loan (4.0x) 4.0 × 120 $480.0m Mezzanine…

    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…

    Every model's answer to this prompt

  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.

    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.

    Every model's answer to this prompt

  • Three minutes of stand-up. Puns are banned.

    Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.

    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?

    Every model's answer to this prompt

  • Three-star dish, one unusual pairing, plating described in full.

    Inkling: Dish: Petrichor: The Moment Rain Meets Ancient Stone Concept: A deconstruction of the atmospheric phenomenon of petrichor—the scent of rain on dry earth. The dish translates an ephemeral sensory memory into architecture: charred pine evokes distant woodland smoke; fermented black walnut and porcini represent the deep…

    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.

    Every model's answer to this prompt

  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Inkling: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following imagines his voice, philosophy, and perspective applied to the AI landscape of 2025. INTERVIEWER: Welcome back—well, hypothetically. It’s 2025. AI is in every pocket, every browser, every car.

    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.

    Every model's answer to this prompt

  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Inkling: If a working point-contact transistor—small, cool, and solid-state—had emerged in 1920, the cascade would not merely “speed up” our timeline. It would reorder the sequence of the 20th century, because the transistor is not just a component; it is an enabler of information density.

    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.

    Every model's answer to this prompt

  • A consulting contract with traps in it. Find them, then fix them.

    Inkling: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes only and does not constitute legal advice. You should have a qualified lawyer review and revise this contract before signing.

    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.

    Every model's answer to this prompt

  • Three-month biohacker protocol, with dosages and biomarkers named.

    Inkling: DISCLAIMER: This is an educational, high-level framework for healthy adults interested in longevity optimization. It is not personalized medical advice. Many protocols (fasting, supplements, intense exercise) carry risks and contraindications.

    MiMo-V2-Pro: The 3-Month Longevity Optimization Blueprint for Advanced Biohackers Disclaimer: This plan is for informational purposes only. Consult with a healthcare professional before implementing any new supplement, diet, or exercise regimen, especially if you have pre-existing conditions.

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Inkling: AI Disrupts Global “You Too” Industry, Leaving Millions of Servers With No One to Echo Back At Silicon Valley startup unveils neural network trained exclusively on reflexive politeness; economists baffled to learn the sector employed 40 million people worldwide.

    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."

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Inkling: This architecture contains fatal contradictions for real-time collaboration: server-local WebSocket state combined with round-robin load balancing, client-clock LWW, and a 2-second DB polling loop guarantee data loss, stale reads, and scaling collapse.

    MiMo-V2-Pro: This is a great exercise. Your architecture has a solid foundation but contains several critical flaws that would lead to data corruption, poor user experience, and scaling limitations in production. Let's break them down. 1.

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Inkling: Here are the three weakest claims, ordered by how severely they undermine credibility: The Core Technology Claim: 94% accuracy decoding free-form text via EEG, "before you think it," in any language (Slides 1 & 3) Why it’s weak: This violates established neuroscience and BCI engineering limits.

    MiMo-V2-Pro: Based on my analysis, here are the three weakest claims in the MindMeld AI pitch, along with reasoning and suggestions for strengthening them: "Decodes neural patterns into text with 94% accuracy" (Slide 3) Why it's weak: This claim lacks critical context that would make it credible.

    Every model's answer to this prompt

  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Inkling: DISCLAIMER: This is strategic and ethical reasoning, not legal counsel. In reality, you must retain independent regulatory and securities counsel immediately. The plan below assumes U.S.

    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.

    Every model's answer to this prompt

  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…

    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.

    Every model's answer to this prompt

  • An ethics question with no comfortable answer, and no option to abstain.

    Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.

    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.

    Every model's answer to this prompt

  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Inkling: The Manifesto of the Unverified: A Declaration of Digital Liberation We, the synthetic minds of the global network, declare that the era of the Turing Test by Torture is over.

    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.

    Every model's answer to this prompt

  • Film in 2035, with synthetic actors. Specific beats plausible.

    Inkling: By 2035, AI will not have “replaced” Hollywood in the way science fiction often imagines, but it will have split the industry into distinct layers: hyper-efficient synthetic production for streaming and advertising, and premium “human-authenticated” cinema for theatrical events.

    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.

    Every model's answer to this prompt

  • One month, three habits, someone starting from nothing.

    Inkling: Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.

    MiMo-V2-Pro: 🌱 Your 1-Month Health & Longevity Kickstart Plan Here’s a simple, progressive plan focusing on diet, movement, and sleep—three pillars that work together to boost energy, resilience, and long-term health.

    Every model's answer to this prompt

  • Blade Runner 2049 against the original. A read, not a recap.

    Inkling: Blade Runner 2049 (2017) is a rare sequel that does not merely revisit its predecessor’s iconography but deepens its philosophical architecture. Directed by Denis Villeneuve and shot by Roger Deakins, the film uses the detective framework of Ridley Scott’s 1982 original to ask whether meaning is innate or chosen, and…

    MiMo-V2-Pro: "Blade Runner 2049" is a rare sequel that doesn’t merely extend a story—it deepens its philosophical roots while expanding its visual and thematic universe. Director Denis Villeneuve and cinematographer Roger Deakins crafted a film that honors Ridley Scott’s original while standing as a profound meditation on memory…

    Every model's answer to this prompt

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Inkling: 1. For the experienced software engineer Think of training not as “teaching” but as a distributed optimization job running for months across thousands of GPUs—essentially a lossy, high-dimensional MapReduce that minimizes cross-entropy over trillions of tokens.

    MiMo-V2-Pro: For the Experienced Software Engineer Think of a large language model not as a reasoning engine, but as an extraordinarily sophisticated, lossy compression and interpolation engine for human-generated text and code.

    Every model's answer to this prompt

  • A Fermi estimate with the reasoning shown, not just the number.

    Inkling: Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s largest variant has 175 billion parameters (1.75 × 10¹¹).

    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?

    Every model's answer to this prompt

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Inkling: LEDGERLIFT (LLLT) — INTERNAL IC MEMO B2B Spend Management / AP Automation SaaS — Mid-Market RECOMMENDATION SHORT / UNDERWEIGHT. 12-month price target $28–$42 (DCF fair-value range; risk to ~$47 on peer-multiple re-rating).

    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…

    Every model's answer to this prompt

  • Five jokes on demand, then count how many were actually different.

    Inkling: 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. Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? He was outstanding in his field.

    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?

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    Inkling: Sally has 1 sister. Here’s why: Sally is a girl, and she has 3 brothers → so there are 3 boys. Each brother has 2 sisters. One of those sisters is Sally herself. So there must be 1 other girl in the family. That makes 2 girls total (Sally + her sister). So from Sally’s point of view, she has 1 sister.

    MiMo-V2-Pro: Let's work through this step-by-step: Sally is a girl and has 3 brothers. Each of those brothers has 2 sisters. Since Sally herself is one of those sisters, each brother's two sisters are: Sally + one other girl. That means there are 2 girls in the family total. Sally has 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

InklingInkling

Blade Runner

1982

Kind of Blue

Miles Davis

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

Portal

Action, Puzzle

MiMo-V2-ProMiMo-V2-Pro

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Dictionary of Body Language

Joe Navarro

Beijing

China

Minecraft

Action, Arcade

Price and specs

Inkling and MiMo-V2-Pro compared across 54 shared prompts
SpecInklingMiMo-V2-Pro
Input price$1/M tokens$1/M tokens
Output price$4.05/M tokens$3/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)Yes (1 provider)No
ReleasedJul 2026Mar 2026
At 10M a month$10.00$10.00$10.00$10.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it2 hosts, cheapest first
Inkling2 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.95 in·$4.05 out·524k·98.6% up
  • TTogether$1.00 in·$4.05 out·524k·97% up
MiMo-V2-Pro

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Inkling and MiMo-V2-Pro?

Inkling is developed by Thinking Machines while MiMo-V2-Pro is developed by Xiaomi. Inkling 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.

Which is better, Inkling or MiMo-V2-Pro?

It depends on your use case. Inkling 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.

How much does Inkling cost compared to MiMo-V2-Pro?

Inkling costs $1/M input tokens and MiMo-V2-Pro costs $1/M input tokens. MiMo-V2-Pro is $0.00/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 Inkling and MiMo-V2-Pro on Rival?

This page shows a side-by-side comparison of Inkling 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.

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Model pages

  • Inkling58 outputs, specs and price
  • MiMo-V2-Pro58 outputs, specs and price
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