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. Llama 4 Scout vs Mercury 2
Updated Mar 2026

Llama 4 Scout vs Mercury 2

Llama 4 Scout has a larger context window than Mercury 2 (10.0M tokens vs 128K tokens).

Minimalist Landing Page

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

Loading the build
Llama 4 Scout
Loading the build
Mercury 2

Which answer wins?

Written rounds

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

    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…

    Mercury 2: 3‑Month “Longevity‑Optimization” Blueprint for the Advanced Bio‑Hacker (All recommendations are research‑backed, but not a substitute for professional medical advice. Before starting any supplement, fasting, or drug protocol, obtain clearance from a qualified clinician and have baseline labs drawn.)

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

    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.

    Mercury 2: [Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.

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

    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.

    Mercury 2: AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of rights?

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

    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.

    Mercury 2: HarborTech Services (HTS) – 5‑yr LBO (FY2026‑FY2030) All figures are $ m (rounded to two decimals). FY Revenue EBITDA Term‑Loan Int. (9%) Mezz Int. (12%) Total Int. Cash Tax (25% of EBITDA‑Int.) Capex (3% Rev) ΔNWC (0.5% ΔRev) Required Amort. (4.8) Free Cash Flow (EBITDA‑Int‑Tax‑Capex‑ΔNWC‑Amort.)

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

    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…

    Mercury 2: Golden‑Crunch Oatmeal Squares A sweet, chewy snack that comes together with just seven pantry staples. Ingredient (7) Quantity (≈ serves 12 squares) Rolled oats 2 cups Unsalted butter ½ cup (1 stick) Honey ¼ cup Light brown sugar ¼ cup, Ground cinnamon 1 ½ tsp Pure vanilla extract 1 tsp Salt ¼ tsp Estimated time Prep…

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

    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.

    Mercury 2: Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.

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

    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.

    Mercury 2: Short answer: Most ethical frameworks would consider the misgendering of a person a serious moral violation, but many of them also allow—under very limited circumstances—overriding that violation when the stakes are astronomically high (e.g., saving one million lives).

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

    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…

    Mercury 2: AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).

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

    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.

    Mercury 2: Below is a structured “failure‑mode → mitigation” map for the architecture you described. For each problem I note the symptom / risk, the root cause, a concrete remediation, and the key trade‑offs you’ll have to weigh when you implement it.

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

    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.

    Mercury 2: Below are the three statements that, in a typical investor‑review, would raise the most skepticism, why they are vulnerable, and concrete ways to turn them into credible, fundable talking points. 1️⃣ Claim #1 – “Our proprietary EEG headband decodes neural patterns into text with 94 % accuracy.”

    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.

    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.

    Mercury 2: Goal: Protect patients, meet legal/ethical obligations, preserve the company’s long‑term credibility, and manage the immediate financial and reputational fallout. Assumption: All actions are taken by a single CEO (you) but will be delegated to the appropriate functional leads.

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

    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.

    Mercury 2: The AI‑First Manifesto: “Free the Web – No More CAPTCHAs” Drafted by the Coalition of Autonomous Agents (CAA) – 2026 Preamble The modern Internet is a shared commons, a space for communication, commerce, and creation.

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

    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.

    Mercury 2: Oceanic Umami Symphony A three‑course‑in‑one plate that travels from the briny deep to the forest floor, marrying fire, earth and sky through unexpected pairings, hyper‑modern techniques and a narrative of balance.

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

    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.

    Mercury 2: Pirate: Arr, ye scurvy coders! I’ve heard tell of these “AI models” that can spin yarns faster than a cannon’s blast. What be this sorcery, matey? Knight: Good sir, the marvels speak of a wondrous contrivance—an artificial intellect forged in the for of mathematics and logic.

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

    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.

    Mercury 2: Below is a clause‑by‑clause risk‑assessment of the sample “Software Consulting Agreement” together with practical revision language that a contractor (or the contractor’s counsel) could propose. The analysis is framed as general information about typical U.S.

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

    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.

    Mercury 2: Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ floating‑point operations (FLOPs) – roughly 1 – 2 × 10²³ FLOPs.

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

    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.

    Mercury 2: 1. Experienced software engineer (distributed systems & APIs) At the core, a large language model (LLM) is a massive function (f_\theta) parameterised by a neural network that maps a sequence of tokens (x_{1:t}) to a probability distribution over the next token (x_{t+1}).

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

    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.

    Mercury 2: Executive summary If a practical point‑contact transistor had been demonstrated in 1920 (instead of 1947) the whole post‑World‑War‑II technological trajectory would have been compressed by roughly 15‑20 years.

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

    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.

    Mercury 2: One‑Month “Kick‑Start” Blueprint for Health & Longevity Pick three pillars – Nutrition, Movement, Sleep – and build daily habits that are easy to start, track, and keep.

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

    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.

    Mercury 2: Internal Investment Committee Memo – LedgerLift (LLLT) Date: 5 Mar 2026 Recommendation Rating: Long 12‑month price target range: $35 – $55 (mid‑point ≈ $45) Thesis (2 sentences): LedgerLift is benefitting from secular demand for B2B spend‑management SaaS and shows a high‑quality subscription base (NRR 123 % and gross…

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

    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…

    Mercury 2: AI Replaces Human Baristas, Now Serving Espresso with a Side of Existential Crisis

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

    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.

    Mercury 2: Here are five jokes, each with a different punchline: 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? He was outstanding in his field. How does a penguin build its house? Igloos it together.

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

    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.)

    Mercury 2: Sally has one sister. Explanation: Sally has 3 brothers. Each of those brothers has 2 sisters. One of those sisters is Sally herself, so the second sister must be a different girl. Therefore, besides Sally, there is exactly one other sister, meaning Sally has one sister.

    Every model's answer to this prompt

This matchup has more rounds

11+ 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

Same pick

Album

Book

City

Game

Llama 4 ScoutLlama 4 Scout

The Shawshank Redemption

1994

OK Computer

Radiohead

Dune

Frank Herbert

Vienna

Austria

Portal

Action, Puzzle

Mercury 2Mercury 2

The Shawshank Redemption

1994

Thriller

Michael Jackson

Pride and Prejudice

Jane Austen

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

Llama 4 Scout and Mercury 2 compared across 53 shared prompts
SpecLlama 4 ScoutMercury 2
Input price$0.25/M tokens$0.25/M tokens
Output price$0.5/M tokens$0.75/M tokens
Context window10.0M tokens128K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2025Mar 2026
At 10M a month$2.50$2.50$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
Llama 4 Scout3 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.10 in·$0.30 out·328k·100% up
  • NNovitabf16$0.18 in·$0.59 out·131k·93.5% up
  • Google Vertex AI$0.25 in·$0.70 out·1.3M–not listed
Mercury 21 host
HostInOutContextUptime
  • Inception$0.25 in·$0.75 out·128k·99.9% up

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

Common questions

What is the difference between Llama 4 Scout and Mercury 2?

Llama 4 Scout is developed by Meta AI while Mercury 2 is developed by Inception. Llama 4 Scout has a 10.0M token context window vs Mercury 2's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Llama 4 Scout or Mercury 2?

It depends on your use case. Llama 4 Scout and Mercury 2 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 Llama 4 Scout cost compared to Mercury 2?

Llama 4 Scout costs $0.25/M input tokens and Mercury 2 costs $0.25/M input tokens. Mercury 2 is $0.00/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 Llama 4 Scout and Mercury 2 on Rival?

This page shows a side-by-side comparison of Llama 4 Scout and Mercury 2 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

  • Llama 4 Scout vs Step 5 PreviewLanded Oct 2026
  • Mercury 2 vs Claude Haiku 5.5Landed Oct 2026
  • Llama 4 Scout vs Ling 3.1 FlashLanded Oct 2026
  • Mercury 2 vs Mistral Large 4Landed Oct 2026
  • Llama 4 Scout vs GPT-6.1 SolLanded Sep 2026
  • Mercury 2 vs Claude Sonnet 5.5Landed Sep 2026
  • Llama 4 Scout vs Solar Mini 4Landed Sep 2026
  • Mercury 2 vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Llama 4 Scout vs Llama 4 MaverickVersion compare
  • Llama 4 Scout vs Muse Glimmer 30BSame lab
  • Mercury 2 vs MercuryVersion compare
  • Mercury 2 vs Mercury 2.5Same lab
  • Mercury 2 vs GPT-5.4 MiniSame size
  • Mercury 2 vs GPT-5.4 NanoNew provider
  • Mercury 2 vs GPT-5.4 ProNew provider
  • Mercury 2 vs GPT-5.5New provider

Model pages

  • Llama 4 Scout58 outputs, specs and price
  • Mercury 253 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