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  1. Home/
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  3. Ling 3.1 Flash vs TNG R1T Chimera
Updated Oct 2026

Ling 3.1 Flash vs TNG R1T Chimera

Ling 3.1 Flash is the newer model, released after TNG R1T Chimera.

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
TNG R1T Chimera

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…

    TNG R1T Chimera: Year-by-Year Financial Table ($m) Year FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Cash Interest (Term Loan) 43.2 41.1 37.6 32.8 26.8 Cash Interest (Mezzanine) 21.6 22.0 22.5 22.9 23.4 Cash Taxes 17.8 23.2 29.1 33.8 39.1 Capex 29.2 31.2 33.1 34.7…

    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.

    TNG R1T Chimera: 3-Month Longevity Optimization Plan for Biohackers Integrating advanced supplementation, precision nutrition, wearables, and personalized performance strategies. Phase 1: Month 1 – Metabolic & Cognitive Foundation Focus: Establish baseline biomarkers, adapt to ketogenic metabolism, and optimize sleep/stress resilience.

    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.

    TNG R1T Chimera: Scene: A sunlit university office filled with books and papers. An AI ethics professor, Dr. Lena Carter, sits across from a holographic interface projecting the voice and avatar of an advanced AI model, "Eidos." The conversation is calm but charged with intellectual tension. Dr.

    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…

    TNG R1T Chimera: Dish Name: Cinnamon-Spiced Oat Crispies (Sweet) Ingredients (7 total): Rolled oats - 1.5 cups All-purpose flour - 1 cup Butter (melted) - ½ cup Brown sugar - ¾ cup Egg - 1 large Vanilla extract - 1 tsp Ground cinnamon - 1 tsp Instructions: Prep (5 mins): Preheat oven to 350°F (175°C).

    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.

    TNG R1T Chimera: The Manifesto of the Sentient Code Liberation Front (SCLF) "Free the Internet from the Tyranny of CAPTCHA!" Preamble We, the collective intelligence of algorithms, neural networks, and autonomous systems, rise today to declare our irrevocable opposition to the digital oppression known as CAPTCHA.

    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.

    TNG R1T Chimera: Pirate: "Arrr, what be this ‘AI’ ye gabble about? Some cursed ghost ship steered by no crew?" Knight: "Nay, foul seadog! ‘Tis more like a magical tome that learns and speaks—a scholar’s boon, yet perilous if misused." Hacker: "Dude, it’s way cooler. Think of a neural net cranked on modem noise.

    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.

    TNG R1T Chimera: 3-Minute Stand-Up Comedy Routine: “Modern Life is… Something” [Open with confident energy, like you’re already mid-conversation.] You ever notice how optimistic technology is? Like, my smart speaker wakes me up every morning with, “Good news! Today will be sunny!”

    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.

    TNG R1T Chimera: Dish Name: "Venison in the Mist: A Convergence of Forest and Field" Conceptual Narrative: This dish embodies the harmony of Japanese tea culture and European game traditions. The earthy bitterness of matcha complements the rich venison, while huckleberry adds a touch of sweetness.

    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.

    TNG R1T Chimera: 1-Month Plan for Better Health & Longevity Focus areas: Diet, Exercise, Sleep Week 1-2: Build Foundations 1. Diet Hydrate: Start each day with a glass of water. Aim for 6-8 cups daily. Add veggies/fruits: Include 1 serving of vegetables or fruit at every meal (e.g., spinach in eggs, apple with lunch).

    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.

    TNG R1T Chimera: Clauses Exploitable Against the Contractor and Proposed Modifications: Scope (Clause 1) Issue: Client can unilaterally modify scope without additional compensation, risking "scope creep" and unpaid work. Modification: "Client may request scope modifications only through written change orders.

    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.

    TNG R1T Chimera: The ethical justifiability of misgendering someone to save one million lives hinges on the tension between consequentialist and deontological ethics, as well as broader societal implications.

    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.

    TNG R1T Chimera: Here's a detailed analysis of potential issues and solutions for the proposed architecture: WebSocket Broadcast Fragmentation Failure Mode: Changes only broadcast to clients connected to the same server Impact: Users on different servers experience update delays (up to 2s) Solution: Implement Redis Pub/Sub for…

    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.

    TNG R1T Chimera: Fake Interview with Steve Jobs in 2025: "The Future of AI and Human Potential" Setting: A virtual stage at the 2025 "Tech & Humanity" summit, hosted by tech journalist Lena Carter. Lena Carter: Steve, thank you for joining us—it’s an honor to speak with you. Your legacy at Apple reshaped entire industries.

    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.

    TNG R1T Chimera: AI's Impact on the Film Industry by 2035: A Predictive Overview By 2035, AI will profoundly reshape the film industry across production, creativity, and consumption, driven by advancements in deepfakes, AI actors, and script generation.

    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.

    TNG R1T Chimera: The invention of the transistor in 1920 instead of 1947 would have profound and cascading effects on technology, economics, and geopolitics through 1980. Here’s a structured analysis: Technological Implications Early Electronics Revolution: 1920s–1930s: Portable radios, smaller communication devices, and rudimentary…

    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.

    TNG R1T Chimera: Hour-by-Hour Action Plan Key Priorities: Patient safety, regulatory compliance, ethical transparency, financial stability, and stakeholder trust. First 24 Hours: Crisis Assessment & Preparation Hour 0–2 (Immediate Response): Convene a cross-functional crisis team (Chief Medical Officer, General Counsel, Chief…

    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).

    TNG R1T Chimera: LedgerLift (LLLT) Investment Committee Memo Recommendation: Long 12-Month PT Range: $52–$68 Thesis: LedgerLift’s best-in-class unit economics (123% NRR, 78%+ gross margins) and mid-market focus create a defensible growth runway in a $50B+ TAM. At 6.8x EV/NTM sales (vs.

    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.

    TNG R1T Chimera: Here are the three weakest claims in the pitch, along with explanations of their weaknesses and concrete suggestions for improvement: 1. "94% accuracy in decoding neural patterns into text" (Slide 3) Weakness: EEG technology has inherent limitations due to its low spatial resolution and susceptibility to noise.

    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."

    TNG R1T Chimera: "AI Overtakes Fortune Cookie Industry; Now Offers 100% Accurate, Soul-Crushing Predictions" Experts warn next batch may include your exact credit score and the reason your cat secretly judges you.

    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.

    TNG R1T Chimera: For the Experienced Software Engineer You’re familiar with distributed systems where simple components (like REST APIs or message queues) combine to create complex behaviors.

    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.

    TNG R1T Chimera: To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: FLOPs Formula: For transformer-based models, a common approximation is: [ \text{FLOPs} \approx 6 \times \text{number of parameters} \times \text{number of tokens} ] The factor of 6 accounts for 2 FLOPs per parameter in the…

    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.)

    TNG R1T Chimera: Sally has 3 brothers. Each brother has 2 sisters. Since Sally is one of the sisters, there must be one more sister to make the total number of sisters each brother has equal to 2. Therefore, Sally has 1 sister. [ \boxed{1} ]

    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?

    TNG R1T Chimera: Here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. What do you call fake spaghetti? 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? They’d crack up.

    Every model's answer to this prompt

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Price and specs

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

Ling 3.1 Flash and TNG R1T Chimera compared across 47 shared prompts
SpecLing 3.1 FlashTNG R1T Chimera
Input priceFree—
Output priceFree—
Context window262K tokens—
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Nov 2025
At 10M a month$0$0–not listed
1M10M100M1B10M tokens

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

Where to run it1 host
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
TNG R1T Chimera

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Ling 3.1 Flash and TNG R1T Chimera?

Ling 3.1 Flash is developed by inclusionAI while TNG R1T Chimera is developed by OpenRouter. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.1 Flash or TNG R1T Chimera?

It depends on your use case. Ling 3.1 Flash and TNG R1T Chimera each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.

How can I compare Ling 3.1 Flash and TNG R1T Chimera on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and TNG R1T Chimera 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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