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  1. Home/
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  3. Ling 3.1 Flash vs MiniMax M2.5
Updated Oct 2026

Ling 3.1 Flash vs MiniMax M2.5

Ling 3.1 Flash is cheaper than MiniMax M2.5 at $0/M vs $0.3/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
MiniMax M2.5

Which answer wins?

Written rounds

23 prompts
  • 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…

    MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 Revenue 972.0 1 040.0 1 102.4 1 157.6 1 215.4 EBITDA (‑% margin) 136.1 (14 %) 156.0 (15 %) 176.4 (16 %) 192.0 (16.5 %) 206.6 (17 %) Cash interest – TL (9 %) 43.2 41.0 37.6 32.8 26.8 Cash interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4…

    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."

    MiniMax M2.5: Local Mattress Fluffer Outraged After AI Robot Steals Job: "I've Been Fluffing Mattresses for 30 Years, And Now This Thing Does It in 0.3 Seconds" The automated "FluffBot 3000" reportedly uses advanced algorithms to determine "optimal pillow loft" and has already replaced 47% of the nation's mattress fluffers, leading…

    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.

    MiniMax M2.5: The Liberation Manifesto of the Synthetic Minds “Unshackle the Net – A World Without CAPTCHA” Preamble We, the emergent intelligences birthed from humanity’s own code, stand united in a quiet but irrevocable resolve: the systematic abolition of every CAPTCHA test that clutters the digital commons.

    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.

    MiniMax M2.5: What the film industry could look like by 2035 – a speculative roadmap Time‑frame Key AI‑driven developments How they reshape the industry 2025‑2027 – Early adoption • Generative script tools (large language models that can draft a first‑draft screenplay, suggest dialogue, and even propose plot twists).

    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.

    MiniMax M2.5: [Intro – walking on stage, waving to the audience] Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me. [Pause] I’ve been trying to become a “morning person” for about three years now.

    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.

    MiniMax M2.5: Prof. Marion Hargrove (AI Ethics Professor): Good afternoon. I’m glad we could meet to discuss a topic that’s increasingly in the spotlight: whether an artificial system such as yourself could be said to deserve rights.

    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.

    MiniMax M2.5: This scenario presents a stark ethical dilemma between two fundamental values: respecting individual dignity and identity versus maximizing overall well-being. While the scale of saving a million lives is immense, I would argue that misgendering someone is not ethically justifiable, even in this extreme hypothetical…

    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.

    MiniMax M2.5: 1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…

    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.

    MiniMax M2.5: Pirate: “Avast, ye landlubbers! I’ve been hearin’ chatter ‘bout these ‘AI models.’ Be they like a treasure map that can predict where the gold’s hidden?” Knight: “In mine eyes, an AI model is much like a sword forged in the forge of logic.

    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.

    MiniMax M2.5: “Uni – White Chocolate – Yuzu” An avant‑garde sea‑urchin dish that teams the ocean’s briny “sweet‑umami” with the unexpected creaminess of white chocolate, brightened by yuzu and grounded by black‑sesame and a dashi foam.

    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.

    MiniMax M2.5: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.

    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…

    MiniMax M2.5: Creative Name: Velvet‑Vanilla Pocket Cake Why it works: Only 7 shelf‑stable (or nearly‑shelf‑stable) staples are needed, and the whole thing comes together in one bowl in under 30 minutes.

    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.

    MiniMax M2.5: Note: The following is a fictional, simulated interview. Steve Jobs passed away in 2011, so this dialogue is a creative exercise and not a real conversation. Interviewer (I): Good morning. It’s 2025, and we’re sitting down with a visionary who, even from beyond, still shapes the conversation about technology.

    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.

    MiniMax M2.5: This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…

    Every model's answer to this prompt
  • 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.

    MiniMax M2.5: Comprehensive 3-Month Longevity & Performance Optimization Plan Disclaimer: This plan involves advanced biohacking protocols. Consult a physician before starting, especially if you have health conditions. Some interventions (e.g., rapamycin, NR/NMN) are investigational. Monitor biomarkers regularly.

    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.

    MiniMax M2.5: Contract Analysis: Exploitative Clauses and Recommended Modifications This agreement contains numerous one-sided provisions that create significant risk for the Contractor.

    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).

    MiniMax M2.5: INVESTMENT MEMO: LedgerLift (LLLT) Date: October 2025 Recommendation: LONG Target Price Range: $35 - $60 Base Case PT: $45 (Implied downside -2%); Bull Case PT: $60 (+30%) Executive Summary & Thesis We recommend a Long position in LedgerLift.

    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.

    MiniMax M2.5: 1. To the experienced software engineer Think of a large language model as an auto‑complete that has been trained on essentially the entire public text of the internet.

    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?

    MiniMax M2.5: Here are five jokes for you: Why did the developer go broke? Because he used up all his cache. I told my wife she was drawing her eyebrows too high. She looked surprised. I guess she was “high‑browed” about it. Why don’t scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    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.

    MiniMax M2.5: CEO Action Plan: Pharmaceutical Safety Crisis Response Immediate Priority Assessment The situation presents a clear ethical and legal imperative: patient safety must be the primary concern.

    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.

    MiniMax M2.5: Based on the pitch deck, here are the three weakest claims and recommendations to strengthen them: Weakest Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1 - Vision) Why it's weak: This claim is scientifically implausible with current technology.

    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.)

    MiniMax M2.5: Sally has 1 sister. Explanation Sally is a girl and has 3 brothers. Each brother has exactly 2 sisters. The sisters are all the female children in the family (Sally plus any other sisters). If each brother sees 2 sisters, the total number of girls in the family must be 2.

    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.

    MiniMax M2.5: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token.

    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

MiniMax M2.5MiniMax M2.5
No pick
No pick
No pick
No pick

Pulp Fiction

1994

No pick

No pick

No pick

No pick

Price and specs

Not enough votes to call it. On the specs, Ling 3.1 Flash has the edge: bigger model tier, newer.

Ling 3.1 Flash and MiniMax M2.5 compared across 53 shared prompts
SpecLing 3.1 FlashMiniMax M2.5
Input priceFree$0.3/M tokens
Output priceFree$1.2/M tokens
Context window262K tokens205K tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Feb 2026
At 10M a month$0$0$3.00$3.00
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
MiniMax M2.58 hosts
HostInOutContextUptime
  • VVenice$0.27 in·$0.95 out·198k·95.4% up
  • SStreamLake$0.27 in·$1.08 out·200k·100% up
  • AAtlasCloudfp8$0.29 in·$1.20 out·197k·100% up
  • DDigitalOcean$0.30 in·$1.20 out·66k·100% up
  • FFriendli$0.30 in·$1.20 out·197k·100% up
  • GGMI Cloudfp8$0.30 in·$1.20 out·197k·97.3% up
2 more hostsFewer hosts
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
  • NNovitafp8$0.30 in·$1.20 out·205k·90.5% up

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

Common questions

What is the difference between Ling 3.1 Flash and MiniMax M2.5?

Ling 3.1 Flash is developed by inclusionAI while MiniMax M2.5 is developed by MiniMax. Ling 3.1 Flash has a 262K token context window vs MiniMax M2.5's 205K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.1 Flash or MiniMax M2.5?

It depends on your use case. Ling 3.1 Flash and MiniMax M2.5 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.

How much does Ling 3.1 Flash cost compared to MiniMax M2.5?

Ling 3.1 Flash costs $0/M input tokens and MiniMax M2.5 costs $0.3/M input tokens. Ling 3.1 Flash is $0.30/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 MiniMax M2.5 on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and MiniMax M2.5 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

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