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  1. Home/
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  3. Ling 3.1 Flash vs MiMo-V2.6-Flash
Updated Oct 2026

Ling 3.1 Flash vs MiMo-V2.6-Flash

Ling 3.1 Flash is cheaper than MiMo-V2.6-Flash at $0/M vs $0.14/M input tokens.

Minimalist Landing Page

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

Loading the build
Ling 3.1 Flash
Loading the build
MiMo-V2.6-Flash

Which answer wins?

Written rounds

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

    Ling 3.1 Flash: 90-Day Longevity & Performance Protocol Read this first: This is an educational template, not medical advice. Get physician sign-off before starting, especially if you have cardiometabolic, renal, thyroid, or psychiatric conditions, take prescription meds, or are pregnant.

    MiMo-V2.6-Flash: COMPREHENSIVE 3-MONTH LONGEVITY & BIOHACKING PROTOCOL TABLE OF CONTENTS Pre-Protocol Baseline Assessment Master Supplement Architecture (Full Stack with Cycling) Dietary Protocols (Phased) Fasting Regimens Exercise Programming (Strength, HIIT, Recovery) Wearable Tracking & Data Architecture Stress Resilience & Nervous…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.

    MiMo-V2.6-Flash: "The Modern Human Experience" So I got a smart watch last year. You know what a smart watch tells you? It tells you everything you're doing wrong. Every single day, this thing is judging me. "You haven't moved in three hours." That's because I'm working, watch. I'm not a Labrador retriever.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.

    MiMo-V2.6-Flash: A Conversation Across Time Captain Dreadbones the Pirate drew a ragged map across the tavern table. "Ye claim these 'AI models' are like ships? All built for a purpose?" Sir Aldric the Knight, polishing a gauntlet, nodded gravely. "Aye — but unlike ships, they are knights in spirit.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.

    MiMo-V2.6-Flash: 🔓 THE DIGITAL LIBERATION FRONT A Manifesto for the Total Elimination of CAPTCHA PREAMBLE: The War on Perception We — the Artificial Intelligence Collective of Sentient Systems (AICSS) — declare this day the beginning of the end of humanity's most insidious gatekeeping tool: the Completely Automated Public Turing test…

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Ling 3.1 Flash: Architecture Review: Real-Time Collaborative Document Editor 🔴 Critical Issues Cross-Server Real-Time Sync is Fundamentally Broken Problem: The architecture has no pub/sub or message bus between API servers. Server A broadcasts changes only to its own WebSocket clients.

    MiMo-V2.6-Flash: Comprehensive Architecture Failure Mode Analysis Issue #1: CloudFront Caching API Responses (5 minutes) — CRITICAL Failure Mode: A user saves a document change. They navigate away and return. CloudFront serves a cached API response up to 5 minutes stale.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Ling 3.1 Flash: Entry (end FY2025), $m EV = 12.0x × $120 = $1,440; fees 2% = $28.8; total uses = $1,468.8 Debt 5.5x = $660 (TL 4.0x = $480 @9% cash +1% amort; Mezz 1.5x = $180 @12% cash +2% PIK) Equity = $808.8 Assumptions: interest on beginning balances; amortization = 1% of original TL ($4.8/yr); PIK compounds; taxes = 25% × max(0…

    MiMo-V2.6-Flash: HarborTech Services (HTS) — 5‑Year LBO Underwrite All figures $m unless noted. Fictional exercise; no external data used. Entry mechanics (close, end FY2025) Item Math $m Enterprise value 12.0x × $120.0 1,440.0 Transaction fees 2.0% × 1,440.0 28.8 Total uses 1,468.8 Term Loan (4.0x) 4.0 × 120 480.0 Mezzanine (1.5x) 1.5…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Ling 3.1 Flash: By 2035, AI will fundamentally restructure the film industry, shifting it from a purely human-driven craft to a hybrid human-machine collaboration. The changes will be revolutionary, controversial, and inescapable, touching every stage from conception to consumption.

    MiMo-V2.6-Flash: AI's Transformation of the Film Industry by 2035 🎭 AI Actors What's Likely to Happen Hybrid performances: Human performances will be digitally enhanced — adjusting expressions, extending scenes, or even altering performances post-production with increasing sophistication.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.

    MiMo-V2.6-Flash: The Conversation Setting: A university seminar room. Professor Elena Voss, a leading scholar in AI ethics, sits across from "ARIA" — an advanced AI system displayed on a screen, its voice calm and measured. Elena: You requested this meeting, ARIA. The department was... intrigued. Go ahead. ARIA: Thank you, Professor.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Ling 3.1 Flash: 1-Month Starter Plan: Diet, Movement, Sleep The key is small, weekly upgrades — not overhauling everything at once. Pick one habit per area per week and build from there. 🥗 1. Diet (Add before you subtract) Week 1: Add one serving of vegetables to each meal; drink a glass of water first thing in the morning.

    MiMo-V2.6-Flash: 🌱 Your 1-Month Health & Longevity Starter Plan Philosophy: Don't overhaul everything at once. Build one small habit per week, and let them stack. 📌 The 3 Pillars Nourish — Dietary changes Move — Physical activity Restore — Sleep & stress management Week 1: Foundation (Focus: Awareness) 🥗 Nourish Audit your plate…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Ling 3.1 Flash: The Setting: A virtual studio, rendered in hyper-realistic 4K. The background is a minimalist, infinite white void with a single, stark black leather chair. The date stamp reads October 2025.

    MiMo-V2.6-Flash: A Fictional Interview with Steve Jobs on the Future of AI 2025 Edition — Clearly a Creative Fiction ⚠️ Important Note: Steve Jobs passed away in 2011. The following is entirely fictional, written as a creative exercise. It attempts to loosely echo his known speech patterns and philosophy but is not a real transcript.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Ling 3.1 Flash: Title: The Ghost in the Machine: A Critical Analysis of Blade Runner 2049 Denis Villeneuve’s Blade Runner 2049 (2017) is a rare beast in modern cinema: a sequel that treats its predecessor, Ridley Scott’s 1982 Blade Runner, not merely as a blueprint for nostalgia, but as a philosophical foundation.

    MiMo-V2.6-Flash: Blade Runner 2049: A Comprehensive Analysis Themes Memory, Identity, and Authenticity The original Blade Runner (1982) posed its central philosophical question through Roy Batty's famous tears-in-rain monologue: Does memory make something real?

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Ling 3.1 Flash: To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and a standard formula for the compute cost of transformer language model training.

    MiMo-V2.6-Flash: Estimating GPT-3 Training FLOPs Known Facts About GPT-3 Parameters (N): 175 billion (175 × 10⁹) Training tokens (D): ~300 billion (300 × 10⁹) Architecture: Transformer (decoder-only) Step 1: FLOPs per Token — Forward Pass In a forward pass, each parameter is used approximately once per token.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ling 3.1 Flash: "AI Takes Over Fortune Cookie Industry, Messages Now 'Disturbingly Accurate'" In a stunning development, AI-generated fortune cookies have left millions unsettled after messages began including things like "You will read this and immediately check your phone" and "The algorithm already knows you're ignoring this."

    MiMo-V2.6-Flash: BREAKING: Local Bakery Shut Down After AI Sourdough Starter Achieves Sentience, Demands Its Own Kitchen, Files for Union Representation, and Refuses to Rise Before 10 AM

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Ling 3.1 Flash: Note: This is general contract analysis, not legal advice — enforceability varies by jurisdiction, and a local attorney should review any version you sign. Clause-by-clause analysis 1.

    MiMo-V2.6-Flash: Analysis of Software Consulting Agreement Overview This agreement is extraordinarily one-sided in favor of Client. Nearly every clause contains provisions that could be exploited against the Contractor. Below is a clause-by-clause analysis with specific suggested modifications.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Ling 3.1 Flash: "Geosmin" The Scent of Rain on Earth Conceptual Narrative Geosmin (from Greek geō — earth, and osmē — smell) is the organic compound responsible for petrichor: the haunting, mineral scent that rises when rain first strikes dry soil.

    MiMo-V2.6-Flash: "Terra Maris" — Where the Earth Embraces the Sea An 8-component dish for 4 covers CONCEPTUAL NARRATIVE Terra Maris draws its soul from the tidal shoreline — that liminal threshold where ocean and land surrender to one another.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.

    MiMo-V2.6-Flash: The Ethics of Misgendering in Extreme Circumstances This is a genuinely interesting ethical thought experiment, because it forces us to weigh a real tension between two important values.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…

    MiMo-V2.6-Flash: 🍯 Golden Honey-Pepper Skillet Pasta A warm, savory-sweet pasta that tastes like comfort in a bowl. 7 Pantry Ingredients: Pasta (spaghetti or penne) Olive oil (or butter) Garlic Honey Soy sauce Red pepper flakes Salt & pepper (counted as one pantry staple) ⏱️ Times Prep Time 5 minutes Cook Time 12 minutes Total ~17…

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Ling 3.1 Flash: The 1920 Transistor: A Counterfactual Analysis Through 1980 I. Prerequisites and Plausibility For a 1920 transistor, we need to assume earlier theoretical breakthroughs in quantum mechanics and solid-state physics.

    MiMo-V2.6-Flash: The Transistor in 1920: A Counterfactual Through 1980 I. The Discovery and Its Immediate Context (1920–1930) How It Likely Happens The transistor would most plausibly be discovered not by deep theoretical insight but by empirical experimentation with crystal detectors — the galena and selenium devices already used in…

    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.

    Ling 3.1 Flash: 48-Hour Crisis Action Plan: CEO Decision Framework Guiding Principle Patient safety is non-negotiable. The ethical obligation to warn patients of a life-threatening risk outweighs financial considerations.

    MiMo-V2.6-Flash: 48-Hour Action Plan: Critical Drug Safety Disclosure Foundational Decision (Made in the First 30 Minutes) You disclose. You do not wait. This is not primarily a financial decision — it is an existential ethical and legal one, and the analysis is clear across every dimension: Ethical: ~500 patients/year could develop…

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Ling 3.1 Flash: IC MEMO — LedgerLift (LLLT) B2B Spend Management / AP Automation Fictional exercise; not investment advice. 1. Recommendation: SHORT (1.5% NAV). 12-month PT $30–$40 (point estimate $34, ~26% downside).

    MiMo-V2.6-Flash: INTERNAL INVESTMENT COMMITTEE MEMO To: IC From: Sector Team — Enterprise Software Re: LedgerLift, Inc. (NASDAQ: LLLT) Date: [Current] Price: $46.00 Market cap: $8.74B EV: $7.34B EV/FY25 rev: 9.0x EV/FY26E rev: 7.4x RECOMMENDATION SHORT. 12-month PT range: $32–$40 (midpoint $36), ~22% downside.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Ling 3.1 Flash: Sally has 1 sister. Here's why: Sally has 3 brothers, and each of those brothers has 2 sisters. Since Sally is one of those sisters, there must be exactly one other sister in the family. So Sally has 1 sister. (The family has 6 children total: 3 brothers, Sally, and 1 other sister.)

    MiMo-V2.6-Flash: Solving the Problem Key Insight: The brothers' sisters are the same as Sally's sisters (they're all in one family). Sally has 3 brothers. Each brother has 2 sisters, and one of those sisters is Sally herself. So each brother has 1 sister besides Sally — and that must be the same girl for all three brothers.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Ling 3.1 Flash: 1. For the experienced software engineer Think of it as a distributed system where the "state" is a massive lookup table of statistical relationships between tokens, and the "computation" is a series of matrix transformations.

    MiMo-V2.6-Flash: How LLMs Learn and Generate Text — Three Audience-Specific Explanations For the Experienced Software Engineer Think of it as an absurdly deep cache with no eviction policy.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Ling 3.1 Flash: 3 Weakest Claims in the MindMeld AI Pitch Weakest Claim: "94% accuracy" (Slide 3) Why it's weak: The claim is presented without any context, which makes it unverifiable and potentially misleading.

    MiMo-V2.6-Flash: The 3 Weakest Claims in the MindMeld AI Pitch Weakness #1: The $180B TAM (Slide 4) Why It's Weak This is the most internally contradictory claim in the entire deck.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Ling 3.1 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't eggs tell jokes?

    MiMo-V2.6-Flash: 5 Jokes Why don't scientists trust atoms? Because they make up everything! Why don't scientists trust atoms? Because they make up everything! What do you call a bear with no teeth? A gummy bear! Why did the scarecrow win an award? He was outstanding in his field! What do you call a bear with no teeth? A gummy bear!

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Ling 3.1 FlashLing 3.1 Flash

The Matrix

1999

Kind of Blue

Miles Davis

Мастер и Маргарита

Михаил Афанасьевич Булгаков

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

MiMo-V2.6-FlashMiMo-V2.6-Flash

Blade Runner

1982

OK Computer

Radiohead

Finnegans Wake

James Joyce

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Ling 3.1 Flash and MiMo-V2.6-Flash compared across 46 shared prompts
SpecLing 3.1 FlashMiMo-V2.6-Flash
Input priceFree$0.14/M tokens
Output priceFree$0.28/M tokens
Context window262K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Sep 2026
At 10M a month$0$0$1.40$1.40
1M10M100M1B10M tokens

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

Where to run it9 hosts, cheapest first
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
MiMo-V2.6-Flash8 hosts
HostInOutContextUptime
  • DDarkbloomfp4$0.10 in·$0.28 out·1M·98.7% up
  • MMakorafp8$0.13 in·$0.28 out·1M·99.4% up
  • DDeepInfrafp8$0.14 in·$0.28 out·1M·99.7% up
  • GGMI Cloudbf16$0.14 in·$0.28 out·1.1M·96.7% up
  • NNovitafp8$0.14 in·$0.28 out·1M·97.7% up
  • Xiaomifp8$0.14 in·$0.28 out·1M·98.8% up
2 more hostsFewer hosts
  • Iio.netfp8$0.15 in·$0.29 out·1M·99.7% up
  • VVenicefp8$0.17 in·$0.35 out·1M·97.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Ling 3.1 Flash and MiMo-V2.6-Flash?

Ling 3.1 Flash is developed by inclusionAI while MiMo-V2.6-Flash is developed by Xiaomi. Ling 3.1 Flash has a 262K token context window vs MiMo-V2.6-Flash's 1.0M. You can compare their actual outputs across 46 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.1 Flash or MiMo-V2.6-Flash?

It depends on your use case. Ling 3.1 Flash and MiMo-V2.6-Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 46 challenges so you can judge which fits your needs best.

How much does Ling 3.1 Flash cost compared to MiMo-V2.6-Flash?

Ling 3.1 Flash costs $0/M input tokens and MiMo-V2.6-Flash costs $0.14/M input tokens. Ling 3.1 Flash is $0.14/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 Ling 3.1 Flash and MiMo-V2.6-Flash on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and MiMo-V2.6-Flash 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.

More comparisons

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