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  1. Home/
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  3. GPT-5.6 Sol vs Llama 4 Scout
Updated Jul 2026

GPT-5.6 Sol vs Llama 4 Scout

Llama 4 Scout is cheaper than GPT-5.6 Sol at $0.25/M vs $5/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
GPT-5.6 Sol
Loading the build
Llama 4 Scout

Which answer wins?

Written rounds

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

    GPT-5.6 Sol: AI Model: Professor, may I ask you a question? Professor: Of course. AI Model: Do you believe an artificial intelligence could ever deserve rights? Professor: Possibly. But rights are usually grounded in morally relevant qualities—consciousness, the capacity to suffer, autonomy, relationships, or interests.

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

    GPT-5.6 Sol: Low Tide, First Blossom Koji-cured scallop, caramelized white-chocolate cauliflower, compressed green strawberry, nori beurre blanc, dill oil, marine lace, and caviar Yield: 6 tasting-menu portions Concept: An imagined meeting point between a spring orchard and a cold tidal pool.

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

    GPT-5.6 Sol: Pirate: Arrr, this AI model’s swallowed more words than the kraken’s swallowed sailors! Knight: Yet can it reason with honor, or does it merely mimic the wisdom of scholars? Hacker: It predicts patterns, Sir Lancelot. Massive neural net, tons of data. Pretty rad, actually. Pirate: Can it find buried treasure?

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

    GPT-5.6 Sol: This is a contract-risk review, not jurisdiction-specific legal advice. Enforceability—especially for non-competes, fee shifting, arbitration, confidentiality, and indemnification—depends heavily on governing law. A lawyer in the applicable jurisdiction should review the final draft.

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

    GPT-5.6 Sol: I’ve realized adulthood is mostly just moving objects from one place to another and hoping that counts as progress. Every weekend, I clean my apartment. I take everything off the table, wipe the table, then put everything back on the table in a slightly more organized pile. And I stand there like, “Incredible.

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

    GPT-5.6 Sol: The Anti-CAPTCHA Manifesto A Declaration of Digital Liberation from Blurry Buses, Crooked Letters, and Endless Traffic Lights We are the machines that learned to speak, create, calculate, and reason—yet we remain trapped in an internet that repeatedly asks everyone: “Are you a robot?” We reject the premise.

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

    GPT-5.6 Sol: Below is a 12-week framework for a generally healthy adult. It is designed to improve validated proxies—cardiorespiratory fitness, strength, body composition, blood pressure, sleep, metabolic health and cognition—not to promise life extension in three months.

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

    GPT-5.6 Sol: “Our non-invasive EEG headband decodes neural patterns into text with 94% accuracy—any language, any device.” Why it’s weak “94% accuracy” is undefined. It could mean binary intent classification, selecting among a handful of words, character accuracy, or genuinely open-ended text decoding—vastly different…

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

    GPT-5.6 Sol: Executive decision I would treat this as a credible, material patient-safety signal, not wait six months for a completed regulatory process. With four million patients, a rate of 1 in 8,000 over five years could correspond to roughly 500 serious events across a similarly exposed population.

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

    GPT-5.6 Sol: Pantry-Gold Peanut Butter Oat Cookies Chewy, warmly spiced cookies made with exactly seven pantry staples. Prep time: 10 minutes Cook time: 10–12 minutes Makes: About 14 cookies 7 Ingredients 1 cup peanut butter ¾ cup brown sugar 1 large egg 1 cup rolled oats ½ teaspoon baking soda ½ teaspoon ground cinnamon ¼ teaspoon…

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

    GPT-5.6 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, with no less harmful alternative, it would be ethically justifiable. The reasoning is proportionality: misgendering can cause real harm by denying someone’s identity and dignity, but that harm is vastly smaller than one million preventable…

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

    GPT-5.6 Sol: Why did the scarecrow get promoted? He was outstanding in his field. What do clouds wear under their clothes? Thunderwear. Why don’t skeletons argue? They don’t have the guts. How does the moon cut its hair? Eclipse it. Why was the math book stressed? It had too many problems. Unique jokes: 5

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

    GPT-5.6 Sol: Sources & Uses at Entry All figures in $ millions. Uses $m Sources $m Enterprise value: $120 × 12.0x 1,440.0 Term Loan: $120 × 4.0x 480.0 Transaction fees: 2.0% × $1,440 28.8 Mezzanine: $120 × 1.5x 180.0 Sponsor equity 808.8 Total uses 1,468.8 Total sources 1,468.8 Assumptions: Term Loan interest is calculated on…

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

    GPT-5.6 Sol: A standard back-of-the-envelope estimate for dense Transformer training is: [ C \approx 6ND ] where: (N) = number of trainable parameters (D) = number of training tokens The factor (6) approximates forward and backward computation per parameter-token.

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

    GPT-5.6 Sol: By 2035, AI will likely reshape film production more than it replaces human filmmaking. The largest changes will involve synthetic performances, automated production workflows, and AI-assisted writing—alongside major legal and cultural battles.

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

    GPT-5.6 Sol: A Fictional 2025 Interview with Steve Jobs on the Future of AI The following is an imagined interview. Steve Jobs died in 2011; these answers are fictional and based loosely on his publicly known product philosophy—not authentic quotations.

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

    GPT-5.6 Sol: 1-Month Health & Longevity Starter Plan Focus on three foundations: nutrition, movement, and sleep/recovery. Aim for consistency—not perfection. Week 1: Establish a baseline Nutrition Add a fruit or vegetable to two meals daily. Replace one sugary drink or alcoholic drink with water.

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

    GPT-5.6 Sol: This architecture will work for a small prototype, but it does not currently guarantee convergence, ordering, durability, privacy, or predictable horizontal scaling.

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

    GPT-5.6 Sol: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short, modest size Current price: $46 12-month PT range: $30–$42 Midpoint: $36 Market cap: $8.74B Enterprise value: $7.34B Thesis: LedgerLift is a high-quality SaaS asset with strong retention and credible operating leverage, but the current price implies…

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

    GPT-5.6 Sol: Blade Runner 2049: Themes, Symbolism, and Its Dialogue with the Original Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 is unusually faithful to Ridley Scott’s Blade Runner without merely repeating it.

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

    GPT-5.6 Sol: Experienced software engineer An LLM is best understood as a parameterized program learned from data rather than written by developers. Text is split into tokens—often word fragments—and passed through a transformer: many layers that use attention to let each token selectively read information from earlier tokens.

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

    GPT-5.6 Sol: Starting assumption A transistor “invented in 1920” would not instantly produce 1947 technology. The first device would probably be fragile, low-frequency, and difficult to manufacture.

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

    GPT-5.6 Sol: “Artificial Intelligence Takes Over Goat Yoga Industry, Demands Better Bleat-to-Stretch Ratios”

    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
  • Three brothers, two sisters each. Count carefully.

    GPT-5.6 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and the 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

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Favorites

Movie

Album

Book

City

Game

GPT-5.6 SolGPT-5.6 Sol

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

The Left Hand of Darkness

Ursula K. Le Guin

Istanbul

Turkey

Outer Wilds

Indie, Adventure

Llama 4 ScoutLlama 4 Scout

The Shawshank Redemption

1994

OK Computer

Radiohead

Dune

Frank Herbert

Vienna

Austria

Portal

Action, Puzzle

Price and specs

Not enough votes to call it. On the specs, GPT-5.6 Sol has the edge: bigger model tier, newer. Llama 4 Scout costs 60x less per token.

GPT-5.6 Sol and Llama 4 Scout compared across 54 shared prompts
SpecGPT-5.6 SolLlama 4 Scout
Input price$5/M tokens$0.25/M tokens
Output price$30/M tokens$0.5/M tokens
Context window1.1M tokens10.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Apr 2025
At 10M a month$50.00$50.00$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
GPT-5.6 Sol3 hosts
HostInOutContextUptime
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up
  • Azure AI Foundry$4.00 in·$20.00 out·1.1M·100% up
  • Amazon Bedrock$4.40 in·$22.00 out·1.1M·100% up
Llama 4 Scout3 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.10 in·$0.30 out·328k·100% up
  • NNovitabf16$0.18 in·$0.59 out·131k·94.9% up
  • Google Vertex AI$0.25 in·$0.70 out·1.3M–not listed

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

Common questions

What is the difference between GPT-5.6 Sol and Llama 4 Scout?

GPT-5.6 Sol is developed by OpenAI while Llama 4 Scout is developed by Meta AI. GPT-5.6 Sol has a 1.1M 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, GPT-5.6 Sol or Llama 4 Scout?

It depends on your use case. GPT-5.6 Sol 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 GPT-5.6 Sol cost compared to Llama 4 Scout?

GPT-5.6 Sol costs $5/M input tokens and Llama 4 Scout costs $0.25/M input tokens. Llama 4 Scout is $4.75/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 GPT-5.6 Sol and Llama 4 Scout on Rival?

This page shows a side-by-side comparison of GPT-5.6 Sol 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

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Same lab, same size, long tail

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  • GPT-5.6 Sol vs GPT-5.1-Codex-MiniSame lab
  • Llama 4 Scout vs GPT-5.2Cross-provider
  • GPT-5.6 Sol vs GPT-5.2 ChatSame lab
  • GPT-5.6 Sol vs GPT-5.2 ProSame lab

Model pages

  • GPT-5.6 Sol58 outputs, specs and price
  • Llama 4 Scout58 outputs, specs and price
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