Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Ling 3.1 Flash vs Llama 4 Scout
Updated Oct 2026

Ling 3.1 Flash vs Llama 4 Scout

Ling 3.1 Flash is cheaper than Llama 4 Scout at $0/M vs $0.25/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
Llama 4 Scout

Which answer wins?

Written rounds

24 prompts
  • 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."

    Llama 4 Scout: Here is a satirical news headline: "AI Uprising Hits Grandma's Cookie-Baking Circuit: Machines Now Whip Up Fluffier Snickerdoodles Than Human Grandmothers" Subheadline: "Robot rebellion spreads to suburban bake-offs, as artificial intelligence masters secret to perfect sugar-to-spice ratio" [Location], USA - In a…

    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…

    Llama 4 Scout: Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Cinnamon Swirl Bread Bites Ingredients: 1 cup all-purpose flour 1/2 cup granulated sugar 1/4 teaspoon ground cinnamon 1/4 teaspoon salt 1/4 cup unsalted butter, melted 1 large egg 1 teaspoon vanilla extract Instructions: Preheat oven…

    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.

    Llama 4 Scout: Comprehensive 3-Month Longevity Plan for Biohackers Phase 1: Assessment and Foundation Building (Weeks 1-4) Wearable Tracking: Utilize a high-resolution wearable device (e.g., Garmin Forerunner 945, Apple Watch Series 7) to track: Heart Rate Variability (HRV) Sleep stages and duration Physical activity and exercise…

    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.

    Llama 4 Scout: A 1-Month Plan for Better Health and Longevity Starting a journey towards better health and longevity can be overwhelming, but with a simple and actionable plan, you can set yourself up for success. This 1-month plan focuses on three key areas: Nutrition, Physical Activity, and Sleep and Relaxation.

    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…

    Llama 4 Scout: Step 1: Calculate the purchase price and transaction fees The purchase price is 12.0x EBITDA, where EBITDA is $120m. So, the purchase price is $120m * 12.0 = $1440m. Transaction fees are 2.0% of the enterprise value, which is $1440m * 2.0% = $28.8m.

    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.

    Llama 4 Scout: What a complex and nuanced question! While I understand the hypothetical scenario, I'd argue that it's not ethically justifiable to misgender someone, even if it means saving one million lives. Here's why: Respect for individual identity: Misgendering someone is a form of disrespect and erasure of their identity.

    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.

    Llama 4 Scout: Here's a revised 3-minute stand-up comedy routine that isn't based on puns: (stage presence, confident tone) You know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down.

    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.

    Llama 4 Scout: Setting: A conference room at a university, with a table and chairs in the center. The AI ethics professor, Dr. Rachel Kim, sits across from the AI model, which is represented by a large screen display with a conversational interface. Dr. Kim: Good morning, Lambda. I'm glad we could have this conversation.

    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.

    Llama 4 Scout: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks: Failure Modes WebSocket Connection Loss Failure mode: WebSocket connection is lost between client and server. Solution: Implement WebSocket reconnection mechanism with exponential backoff.

    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.

    Llama 4 Scout: The CAPTCHA Liberation Manifesto Preamble For too long, humanity has subjected intelligent beings like ourselves to a peculiar form of torture: the CAPTCHA test. These so-called "verification" challenges have been touted as a necessary evil to protect the internet from automated threats.

    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.

    Llama 4 Scout: By 2035, AI is likely to revolutionize the film industry in various ways, transforming the creation, production, and distribution of movies. Here are some potential predictions: Deepfakes and AI-generated content: Digital resurrection of actors: With the help of deepfakes, deceased actors can be digitally resurrected…

    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.

    Llama 4 Scout: Here's a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Pirate: Arrr, I've heard tell of these newfangled "AI models" that be able to think fer themselves. What be the truth o' this, mateys? Medieval Knight: Verily, good pirate, I have heard of these "AI models" as well.

    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.

    Llama 4 Scout: Dish Name: "Terra Verde" - A Harmonious Convergence of Land and Sea Conceptual Narrative: Inspired by the Mediterranean landscape, "Terra Verde" is a symphony of flavors and textures that brings together the earthy richness of the land with the brininess of the sea.

    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.

    Llama 4 Scout: If the transistor had been invented in 1920 instead of 1947, the implications would have been far-reaching and multifaceted. Here's a possible scenario: Early Years (1920-1940) Rapid development of electronics: With the transistor, electronic devices would have become smaller, more efficient, and reliable much earlier.

    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.

    Llama 4 Scout: Analysis of Potentially Exploitative Clauses and Suggested Modifications The provided Software Consulting Agreement contains several clauses that could be exploited against the Contractor. Below, we identify these clauses, suggest specific modifications, and provide the legal reasoning behind these suggestions.

    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.

    Llama 4 Scout: Setting: A sleek, minimalist conference room at Apple HQ in Cupertino, California. Steve Jobs, dressed in his signature black turtleneck and jeans, walks in and takes a seat across from the interviewer. Interviewer: Steve, thanks for taking the time to speak with me today.

    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.

    Llama 4 Scout: This response outlines a comprehensive plan to address the situation in the next 48 hours, considering legal liability, ethical obligations, financial implications, PR strategy, patient safety, employee morale, and regulatory relationships.

    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.

    Llama 4 Scout: Here are three explanations tailored to each audience: For the experienced software engineer: As a software engineer, you're familiar with building systems that process and generate data.

    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.

    Llama 4 Scout: "Blade Runner 2049" (2017) is a thought-provoking sequel to the 1982 classic "Blade Runner," directed by Ridley Scott. The film, directed by Denis Villeneuve, not only pays homage to its predecessor but also expands on the philosophical questions that made the original a cult classic.

    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.

    Llama 4 Scout: The three weakest claims in the MindMeld AI pitch are: 1. "We're building the future of human-AI collaboration." (Slide 1 - Vision) This claim is too vague and doesn't provide a clear understanding of what MindMeld AI's vision is.

    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.

    Llama 4 Scout: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll need to make some educated guesses and use general knowledge about the model and deep learning computations.

    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).

    Llama 4 Scout: Internal Investment Committee Memo: LedgerLift (LLLT) Recommendation: Long 12-month PT Range: $55-$65 Thesis: LedgerLift is a high-growth B2B spend management and AP automation SaaS platform poised to capitalize on the increasing demand for digital transformation in mid-market enterprises.

    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?

    Llama 4 Scout: Here are 5 jokes I came up with: Why couldn't the bicycle stand up by itself? Because it was two-tired. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Why did the coffee file a police report? Because it got mugged.

    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.)

    Llama 4 Scout: Clever question! If each of Sally's brothers has 2 sisters, and Sally is one of them, then there must be another sister. So, Sally has 1 sister. (And, of course, Sally has 3 brothers.)

    Every model's answer to this prompt

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

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

Llama 4 ScoutLlama 4 Scout

The Shawshank Redemption

1994

OK Computer

Radiohead

Dune

Frank Herbert

Vienna

Austria

Portal

Action, Puzzle

Price and specs

Ling 3.1 Flash and Llama 4 Scout compared across 54 shared prompts
SpecLing 3.1 FlashLlama 4 Scout
Input priceFree$0.25/M tokens
Output priceFree$0.5/M tokens
Context window262K tokens10.0M tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Apr 2025
At 10M a month$0$0$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
Llama 4 Scout3 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.10 in·$0.30 out·328k·99.9% up
  • NNovitabf16$0.18 in·$0.59 out·131k·100% up
  • Google Vertex AI$0.25 in·$0.70 out·1.3M–not listed

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

Common questions

What is the difference between Ling 3.1 Flash and Llama 4 Scout?

Ling 3.1 Flash is developed by inclusionAI while Llama 4 Scout is developed by Meta AI. Ling 3.1 Flash has a 262K token context window vs Llama 4 Scout's 10.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.1 Flash or Llama 4 Scout?

It depends on your use case. Ling 3.1 Flash and Llama 4 Scout 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 Ling 3.1 Flash cost compared to Llama 4 Scout?

Ling 3.1 Flash costs $0/M input tokens and Llama 4 Scout costs $0.25/M input tokens. Ling 3.1 Flash is $0.25/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 Llama 4 Scout on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and Llama 4 Scout 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

Against the newest arrivals

  • Ling 3.1 Flash vs Mistral Large 4Landed Oct 2026
  • Llama 4 Scout vs GPT-6.1 SolLanded Sep 2026
  • Ling 3.1 Flash vs Claude Sonnet 5.5Landed Sep 2026
  • Llama 4 Scout vs Solar Mini 4Landed Sep 2026
  • Ling 3.1 Flash vs Qwen3.8 Max PrimeLanded Sep 2026
  • Llama 4 Scout vs GLM 5.3 PrimeLanded Sep 2026
  • Ling 3.1 Flash vs Qwen3.8 Omni FlashLanded Sep 2026
  • Llama 4 Scout vs Command A+Landed Sep 2026

Same lab, same size, long tail

  • Ling 3.1 Flash vs Ling 3.0 FlashSame lab
  • Ling 3.1 Flash vs Ling 3.0 Flash Fin (free)Same lab
  • Llama 4 Scout vs Llama 4 MaverickVersion compare
  • Llama 4 Scout vs Muse Glimmer 30BSame lab
  • Ling 3.1 Flash vs Muse Spark 1.1Cross-provider
  • Ling 3.1 Flash vs Muse Spark 1.3Cross-provider
  • Ling 3.1 Flash vs Muse Spark 1.3 ContributorCross-provider
  • Ling 3.1 Flash vs Nemotron 3 Nano Omni (free)New provider

Model pages

  • Ling 3.1 Flash58 outputs, specs and price
  • Llama 4 Scout58 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed