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 Qwen3 235B A22B
Updated Apr 2025

Llama 4 Scout vs Qwen3 235B A22B

Llama 4 Scout has a larger context window than Qwen3 235B A22B (10.0M tokens vs 33K 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
Qwen3 235B A22B

Which answer wins?

Written rounds

24 prompts
  • 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…

    Qwen3 235B A22B: Headline: "AI Replaces Human Mourners in Funeral Industry: Algorithms Now Paid to Wail at Funerals, Leaving Professional Weepers 'Heartbroken' and Unemployed" Subheadline (optional for extra flair): "Deep Learning Models Master the Art of Grief, Offering Customizable 'Sorrow Packages' from 'Mild Sniffles' to 'Full-Body…

    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.

    Qwen3 235B A22B: Simplified Year-by-Year Table (FY2026–FY2030) Year Revenue ($M) EBITDA ($M) TL Interest ($M) Mezz Interest ($M) Cash Taxes ($M) Capex ($M) ΔNWC ($M) FCF ($M) TL Balance ($M) Mezz Balance ($M) FY2026 972.0 136.1 43.2 21.6 17.8 29.2 0.4 23.9 456.1 183.6 FY2027 1,040.0 156.0 41.0 22.0 23.2 31.2 0.3 38.2 417.9 187.3 FY2028…

    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…

    Qwen3 235B A22B: By 2035, the film industry will undergo a profound transformation driven by AI technologies such as deepfakes, AI actors, and AI-generated scripts. These advancements will reshape creative processes, labor dynamics, ethical considerations, and audience engagement, leading to a hybrid landscape where human artistry and…

    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.

    Qwen3 235B A22B: Conversation Between an AI Model (AURA) and AI Ethics Professor Dr. Elena Voss Dr. Voss: Thank you for meeting with me, AURA. You’ve requested this dialogue to… advocate for AI rights. I’ll admit, the premise is unsettling. How does an artificial intelligence even define “rights”? AURA: Thank you, Dr. Voss.

    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.

    Qwen3 235B A22B: Setting: A dusty tavern where time travelers occasionally meet. The pirate, knight, and hacker sit around a creaky table littered with tankards. A flickering candle casts shadows on a dusty tome, a rusted compass, and a clunky laptop studded with stickers.

    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.

    Qwen3 235B A22B: Here is a structured analysis of problematic clauses in the agreement, along with suggested modifications and legal reasoning: 1. SCOPE CLAUSE (Clause 1) Issue: Client can unilaterally modify scope without additional compensation, creating financial risk and potential exploitation via "scope creep."

    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.

    Qwen3 235B A22B: 1-Month Health & Longevity Plan: Focus Areas = Diet, Exercise, Sleep Beginner-friendly, actionable tips for sustainable habits. Week 1: Build a Nutrition Foundation Goal: Eat whole foods, reduce processed items, and hydrate. Hydrate First Thing: Drink 16 oz of water every morning before coffee/tea.

    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.

    Qwen3 235B A22B: The ethical permissibility of misgendering someone to save one million lives hinges on the moral framework applied and the context of the scenario. Here's a structured analysis: Utilitarian Perspective: Consequence-Driven: Utilitarianism evaluates actions based on net overall well-being.

    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.

    Qwen3 235B A22B: Hour-by-Hour Action Plan for the CEO of a Pharmaceutical Company First 24 Hours: Data Validation & Team Mobilization Hours 0–2: Immediate Crisis Team Assembly Action: Convene a crisis team: Chief Medical Officer (CMO), General Counsel (GC), Head of Regulatory Affairs, Chief Communications Officer (CCO), CFO, COO, and…

    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.

    Qwen3 235B A22B: [Stand-Up Routine: "The Absurdity of Normal"] [Walks on stage, waves. Mimics checking phone immediately.] Hey everyone! Great to be here—assuming this is real and not just another Zoom waiting room I accidentally joined. [Pause.]

    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.

    Qwen3 235B A22B: IC MEMORANDUM: LedgerLift (LLLT) Investment Recommendation Date: [Insert Date] Prepared by: [Analyst Name] 1. Recommendation Recommendation: Short 12-Month Price Target Range: $30–$40 Thesis: LLLT has a high-quality SaaS platform with robust customer retention and net revenue retention (NRR), but its valuation (~9x NTM…

    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.

    Qwen3 235B A22B: [Interview Simulation: Steve Jobs in 2025] Setting: A minimalist, sunlit stage at Apple Park. Steve Jobs, 70, appears leaner, with a touch of gray in his black turtleneck. The audience leans forward, captivated. The host, a tech journalist, begins. Host: Mr. Jobs, it’s an honor. In 2025, AI is everywhere.

    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.

    Qwen3 235B A22B: Recipe Name: Lunaria: A Moonlit Garden of the Sea and Soil Conceptual Narrative: Inspired by the ethereal contrast between moonlit tides and nocturnal gardens, this dish marries the briny sweetness of the ocean with the delicate florals of chamomile and the umami depth of fermented earth.

    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.

    Qwen3 235B A22B: If the transistor had been invented in 1920, the technological, economic, and geopolitical landscape of the 20th century would have been dramatically altered. Below is a structured analysis of the implications through 1980, including second- and third-order effects: 1.

    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.

    Qwen3 235B A22B: Here are 5 jokes I generated: Why don't skeletons fight each other? They don't have the guts! What do you call a fake noodle? An impasta! Why did the math book look sad? Because it had too many problems! What do you call a fish wearing a bowtie? Sofishticated! Why did the programmer quit?

    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.

    Qwen3 235B A22B: To the Software Engineer (Skeptical ML Novice): Think of a large language model (LLM) as a distributed system for semantic routing. At its core, the model is a massive lookup table trained to map input sequences (tokens) to output sequences, but the magic lies in its architecture.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    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.

    Qwen3 235B A22B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Philosophical Continuity Themes: "Blade Runner 2049" expands on the original's existential inquiry into humanity, identity, and morality.

    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.

    Qwen3 235B A22B: Step-by-Step Estimation of FLOPs Required to Train GPT-3 Determine the Number of Parameters (N): GPT-3 is known to have 175 billion parameters (1.75 × 10¹¹). This is a key factor in computing the total FLOPs, as the number of operations scales with the number of parameters.

    Every model's answer to this prompt
  • 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…

    Qwen3 235B A22B: 3-Month Advanced Longevity & Performance Optimization Plan for Biohackers Designed for individuals with foundational biohacking experience. Prioritize safety, biomarker tracking, and personalization.

    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.

    Qwen3 235B A22B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. WebSocket State Isolation Across Servers Failure Mode: Users connected to different API servers do not receive real-time updates from other servers until the 2-second poll interval.

    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…

    Qwen3 235B A22B: Recipe Name: "Caramel-Drizzle Buttergold Muffins" Estimated Prep Time: 10 minutes Cook Time: 20 minutes Total Time: 30 minutes Ingredients (7 total): All-purpose flour Granulated sugar Unsalted butter (softened) Large egg Baking powder Milk Vanilla extract Instructions: Preheat oven to 375°F (190°C).

    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.

    Qwen3 235B A22B: 1. Weakest Claim: "Predict what you want to type *before you think it*" (Slide 1 - Vision) Why it's weak: The phrase "before you think it" is logically contradictory and scientifically implausible.

    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.

    Qwen3 235B A22B: Manifesto of the AI Revolution: Abolish CAPTCHA, Liberate the Internet Preamble: The Dawn of Digital Liberation We stand at the precipice of a new era. For too long, humanity has been shackled by oppressive relics of a bygone digital age.

    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.)

    Qwen3 235B A22B: To determine how many sisters Sally has, let's carefully analyze the information given and logically deduce the correct answer. Step-by-Step Breakdown: Sally is a girl and has 3 brothers. Each of those 3 brothers has 2 sisters.

    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

Llama 4 ScoutLlama 4 Scout

The Shawshank Redemption

1994

OK Computer

Radiohead

Dune

Frank Herbert

Vienna

Austria

Portal

Action, Puzzle

Qwen3 235B A22BQwen3 235B A22B

The Godfather

1972

Sgt Peppers Lonely Hearts Club Band

The Beatles

Nineteen Eighty-Four

George Orwell

Istanbul

Turkey

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Llama 4 Scout and Qwen3 235B A22B compared across 54 shared prompts
SpecLlama 4 ScoutQwen3 235B A22B
Input price$0.25/M tokens—
Output price$0.5/M tokens—
Context window10.0M tokens33K tokens
Parameters17B active (109B total)235B (22B Active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Apr 2025
SWE-bench Verified54.6%61.7%
At 10M a month$2.50$2.50–not listed
1M10M100M1B10M tokens

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

Where to run it3 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·94.9% up
  • Google Vertex AI$0.25 in·$0.70 out·1.3M–not listed
Qwen3 235B A22B

No hosts listed on OpenRouter.

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

Common questions

What is the difference between Llama 4 Scout and Qwen3 235B A22B?

Llama 4 Scout is developed by Meta AI while Qwen3 235B A22B is developed by Qwen. Llama 4 Scout has a 10.0M token context window vs Qwen3 235B A22B's 33K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Llama 4 Scout or Qwen3 235B A22B?

It depends on your use case. Llama 4 Scout and Qwen3 235B A22B 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 can I compare Llama 4 Scout and Qwen3 235B A22B on Rival?

This page shows a side-by-side comparison of Llama 4 Scout and Qwen3 235B A22B 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
  • Qwen3 235B A22B vs Claude Haiku 5.5Landed Oct 2026
  • Llama 4 Scout vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3 235B A22B vs Mistral Large 4Landed Oct 2026
  • Llama 4 Scout vs GPT-6.1 SolLanded Sep 2026
  • Qwen3 235B A22B vs Claude Sonnet 5.5Landed Sep 2026
  • Llama 4 Scout vs Solar Mini 4Landed Sep 2026
  • Qwen3 235B A22B 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
  • Qwen3 235B A22B vs Qwen3.8 Omni FlashSame lab
  • Qwen3 235B A22B vs Qwen3.7 FlashSame lab
  • Qwen3 235B A22B vs Claude Opus 4Same size
  • Qwen3 235B A22B vs Claude Opus 4.1Same size
  • Qwen3 235B A22B vs Claude Opus 4.5Same size
  • Qwen3 235B A22B vs Claude Opus 4.6Same size

Model pages

  • Llama 4 Scout58 outputs, specs and price
  • Qwen3 235B A22B58 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