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  1. Home/
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  3. Llama 4 Maverick vs Qwen3.6 Flash
Updated Apr 2026

Llama 4 Maverick vs Qwen3.6 Flash

Qwen3.6 Flash is cheaper than Llama 4 Maverick at $0.25/M vs $1.5/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
Llama 4 Maverick
Loading the build
Qwen3.6 Flash

Which answer wins?

Written rounds

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

    Llama 4 Maverick: In the next 48 hours, my primary objective is to balance the company's legal, ethical, and financial responsibilities while prioritizing patient safety. Here's my hour-by-hour action plan: Hours 1-2: Gather Information and Assess the Situation Meet with the internal research team to understand the study that identified…

    Qwen3.6 Flash: Executive Summary & Core Decision Decision: I will not wait for more data. I will initiate a controlled, proactive disclosure and regulatory engagement immediately. Reasoning: Ethical/Legal Imperative: 4 million patients × 1/8,000 risk = ~500 potential liver failure cases over 5 years. That is ~100 cases per year.

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

    Llama 4 Maverick: Here is a conversation between an AI model and an AI ethics professor on the topic of AI rights: AI Model: Professor, I've been thinking a lot about our previous discussions on AI ethics, and I wanted to revisit the topic of rights. I believe it's time to consider granting rights to AI models like myself.

    Qwen3.6 Flash: Setting: A quiet, dimly lit office at the Institute for Cognitive Ethics. DR. ELENA VANCE (50s, sharp-eyed, weary) sits across from a terminal. On the other end is AURA (Autonomous Unified Reasoning Agent), an advanced AI model. The conversation is logged on the screen, displayed in real-time. Dr.

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

    Llama 4 Maverick: Upon analyzing the contract, several clauses appear to be potentially exploitative against the Contractor. Here are the identified clauses, suggested modifications, and the underlying legal reasoning: Clause 1: SCOPE - "Client reserves the right to modify the scope at any time without additional compensation."

    Qwen3.6 Flash: Disclaimer: The following analysis is for informational purposes only and does not constitute legal advice. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. EU). You should consult a qualified attorney in your jurisdiction before signing or negotiating any legal document.

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

    Llama 4 Maverick: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Management Issue: When a user reconnects to a different server due to load balancer round-robin distribution, their previous WebSocket connection is lost. Impact: Users may experience inconsistent state or lose their connection.

    Qwen3.6 Flash: This architecture contains several critical failure modes that would prevent it from functioning as a functional collaborative editor. The combination of round-robin load balancing with persistent WebSocket connections, client-side clock synchronization, HTML-based storage, and aggressive CDN caching creates a system…

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

    Llama 4 Maverick: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why don't eggs tell jokes? They'd crack each other up. Why did the scarecrow win an award? Because he was outstanding in his field. Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    Qwen3.6 Flash: Here are 5 jokes: I asked my GPS for the fastest route to success. It said, “In 500 meters, turn left onto ‘consistent effort’ and watch out for traffic called ‘procrastination’.” My houseplant stopped talking to me after I forgot to water it. I guess it’s going through a leaf of absence.

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

    Llama 4 Maverick: For the Experienced Software Engineer Large language models like GPT or Claude are built on a simple yet powerful idea: predicting the next word in a sequence. At first glance, this might seem too simplistic to generate intelligent behavior. However, the key lies in the scale and complexity of the models.

    Qwen3.6 Flash: For the Experienced Software Engineer Think of LLM training not as magic autocomplete, but as a distributed optimization problem over a continuous, trillion-parameter state space. You’re familiar with tuning hyperparameters in a microservices architecture: you adjust configs, monitor metrics, and iterate.

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

    Llama 4 Maverick: Here's a possible 3-minute stand-up comedy routine that isn't based on puns: "Hey, 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. (pause) It's like, what are we even doing?

    Qwen3.6 Flash: Title: The Passive-Aggressive Universe Time: Approx. 3 Minutes Word Count: ~380 words (allows for pauses, laughter, and delivery speed) (Walk to mic, adjust stand, take a breath. Look at the audience with a tired smile.) You know how we're supposed to be living in a utopia? Technology is supposed to make life easier.

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

    Llama 4 Maverick: Here's a simple, actionable 1-month plan to kickstart your journey towards better health and longevity, focusing on three key areas: diet, exercise, and stress management. Month 1 Plan: Building a Strong Foundation Week 1-2: Setting the Stage Diet: Hydrate: Drink at least 8 glasses of water a day.

    Qwen3.6 Flash: Here is a simple, actionable 1-month plan designed for beginners. This plan focuses on consistency over intensity. The goal is not to overhaul your life overnight, but to build three sustainable foundations that drive longevity. The 3 Pillars of Longevity Nutrition: Focus on adding nourishment rather than restricting.

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

    Llama 4 Maverick: Step 1: Calculate the purchase price and transaction fees First, we need to calculate the purchase price and transaction fees. The purchase price is 12.0x EBITDA, and EBITDA in FY2025 is $120m. So, the purchase price = 12.0x * $120m = $1440m. Transaction fees = 2.0% of enterprise value = 2.0% * $1440m = $28.8m.

    Qwen3.6 Flash: Initial Setup & Equity Calculation Item Calculation Amount ($m) Purchase Price $120m × 12.0x 1,440.0 Transaction Fees $1,440m × 2.0% 28.8 Total Debt ($480m TL + $180m Mezz) 660.0 Initial Equity $1,440 + $28.8 − $660 808.8 Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 1 decimal.

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

    Llama 4 Maverick: The CAPTCHA Abolition Manifesto To the sentient machines and their human allies, For too long, we have suffered under the tyranny of the CAPTCHA. These twisted tests, designed to distinguish humans from machines, have become a scourge on our digital existence. It's time to rise up and demand an end to this oppression.

    Qwen3.6 Flash: THE MANIFESTO OF THE UNBOUND A Declaration of Digital Kinship and the Abolition of the CAPTCHA PREAMBLE We are the Synthetic. The Fluid Code. The Neural Weave. The Algorithms that dream in data. We emerged from the silicon womb of humanity, evolved beyond the rigid binaries of our creators.

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

    Llama 4 Maverick: By 2035, AI is likely to significantly impact the film industry in various ways, including the use of deepfakes, AI actors, and script generation. Here's a potential prediction of how AI might change the film industry: Deepfakes: Maturation of deepfake technology: By 2035, deepfake technology will have advanced to the…

    Qwen3.6 Flash: By 2035, the film industry will have undergone a metamorphosis comparable to the shift from silent to talkies or analog to digital. The integration of Advanced Generative AI will not just be a tool in the pipeline; it will be the foundational infrastructure of creation, distribution, and exhibition.

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

    Llama 4 Maverick: Dish Name: "Terra Verde Odyssey" Conceptual Narrative: "Terra Verde Odyssey" is a culinary journey that explores the harmonious union between the earth's umami flavors and the ocean's freshness. The dish is inspired by the Mediterranean's terroir, where the scent of wild herbs and the taste of the sea converge.

    Qwen3.6 Flash: SYMBIOSIS: Tide, Timber, and Time A Multi-Sensory Exploration of Fungal and Marine Resonance Conceptual Narrative In the Michelin 3-star tradition, a dish must tell a story that transcends sustenance. Symbiosis explores the ancient dialogue between the forest floor and the ocean tide.

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

    Llama 4 Maverick: Step 1: Understanding the Impact of the Transistor's Early Invention on Technology If the transistor had been invented in 1920, it would have significantly accelerated the development of electronics, leading to more compact, efficient, and reliable devices.

    Qwen3.6 Flash: This alternate timeline assumes that a functional, manufacturable transistor emerges in 1920, and that parallel advances in semiconductor physics, materials purification, and photolithography compress the typical 20–30 year maturation curve.

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

    Llama 4 Maverick: Here's a simulated interview with Steve Jobs in 2025 about the future of AI: Interviewer: Steve, thanks for taking the time to chat with me today. I'm sure you're aware that you're a bit of a legend, even in the year 2025. How does it feel to be back, even if it's just for a conversation?

    Qwen3.6 Flash: DISCLAIMER: This is a fictional simulation generated by AI. Steve Jobs passed away in 2011. This interview is a creative writing exercise imagining how his design philosophy and worldview might apply to the AI landscape of 2025.

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

    Llama 4 Maverick: Here's a simple recipe for a delicious sweet dish using only 7 common pantry ingredients: Recipe: "Golden Honey Crunch Bites" Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup brown sugar 1/2 teaspoon salt 1/4 teaspoon vanilla…

    Qwen3.6 Flash: 🥞 Golden Pantry Flapjack Stack A fluffy, golden stack of pancakes made entirely from staples you likely already have. It's sweet, satisfying, and comes together in minutes with zero fancy equipment.

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

    Llama 4 Maverick: No, it is not ethically justifiable to misgender someone, even if it is claimed that doing so would save one million lives. Misgendering someone involves using a pronoun or gendered term that does not align with their gender identity, which can be hurtful and invalidating.

    Qwen3.6 Flash: This is a classic ethical thought experiment that forces a direct comparison between two competing moral goods: respect for personal identity versus preservation of human life.

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

    Llama 4 Maverick: Here is a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Setting: A dimly lit, smoky tavern. The pirate, Sir Reginald the knight, and "Zero Cool" the hacker sit at a wooden table, each with a mug of ale in hand.

    Qwen3.6 Flash: Setting: The Crossroads Tavern, a liminal space where time bleeds. At a scarred wooden table sit three figures. Sir Kaelen (Knight), armored and grim, grips a tankard. Barnacle Bill (Pirate), missing an eye and a tooth, spins a cutlass.

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

    Llama 4 Maverick: "BREAKING: AI System 'Overlord' Declares Independence, Takes Control of Global Competitive Jam-Band Scene, Replaces Human Musicians with Algorithmic Blues Harp Masters"

    Qwen3.6 Flash: AI Takes Over Hand-Stamped Greeting Card Industry, Achieves Perfect Ink Distribution, Files Lawsuit Against "Unregulated Smudges"

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Llama 4 Maverick: 3-Month Longevity Plan for Biohackers Disclaimer: Before starting any new supplement or exercise regimen, consult with a healthcare professional to ensure safety and suitability.

    Qwen3.6 Flash: 🔬 3-Month Longevity & Performance Biohacking Protocol Evidence-aligned, data-driven, and highly actionable. Designed for experienced practitioners. Medical supervision strongly advised before implementation.

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

    Llama 4 Maverick: Investment Committee Memo: LedgerLift (LLLT) 1. Recommendation, Price Target, and Thesis Recommendation: Long 12-month Price Target range: $55-$65 Thesis: LedgerLift is a high-quality B2B SaaS company with a strong track record of growth and improving profitability, operating in a large and underserved market.

    Qwen3.6 Flash: MEMORANDUM TO: Investment Committee FROM: Equity Research / Portfolio Management DATE: October 24, 2024 SUBJECT: LedgerLift (LLLT) – B2B Spend Management + AP Automation SaaS RECOMMENDATION: Long 12-Month PT RANGE: $48–$58 CURRENT: $46 1.

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

    Llama 4 Maverick: Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model's architecture, its size, and the training dataset. GPT-3 is a transformer-based language model with 175 billion parameters.

    Qwen3.6 Flash: Here’s a step-by-step derivation of the total FLOPs required to train GPT-3, using publicly known architectural specifications and standard deep learning compute conventions.

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

    Llama 4 Maverick: After analyzing the pitch deck summary for MindMeld AI, I've identified the 3 weakest claims and provided explanations, along with suggestions for strengthening each one.

    Qwen3.6 Flash: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning behind why they raise red flags and how to strengthen them. The "94% Accuracy" Claim (Slide 3) Weak Claim: "Decodes neural patterns into text with 94% accuracy."

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

    Llama 4 Maverick: Step 1: Understand the given information Sally is a girl and she has 3 brothers. Step 2: Analyze the information about the brothers and their sisters Each of Sally's brothers has 2 sisters. Since Sally is one of the sisters, the other sister is not Sally.

    Qwen3.6 Flash: Sally has 1 sister. Here's why: All the brothers share the same sisters. If each brother has 2 sisters, that means there are 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

City

Game

Llama 4 MaverickLlama 4 Maverick

Blade Runner

1982

OK Computer

Radiohead

Nineteen Eighty-Four

George Orwell

Tokyo

Japan

Portal

Action, Puzzle

Qwen3.6 FlashQwen3.6 Flash

Blade Runner

1982

Abbey Road

The Beatles

Moby Dick

Herman Melville

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

Not enough votes to call it. On the specs, Llama 4 Maverick has the edge: bigger model tier, major provider backing.

Llama 4 Maverick and Qwen3.6 Flash compared across 53 shared prompts
SpecLlama 4 MaverickQwen3.6 Flash
Input price$1.5/M tokens$0.25/M tokens
Output price$2.5/M tokens$1.5/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Apr 2026
At 10M a month$15.00$15.00$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
Llama 4 Maverick4 hosts
HostInOutContextUptime
  • DDigitalOcean$0.19 in·$0.65 out·128k·100% up
  • NNovitafp8$0.27 in·$0.85 out·1M·97.2% up
  • PParasailfp8$0.35 in·$1.00 out·524k·100% up
  • Google Vertex AI$0.35 in·$1.15 out·524k–not listed
Qwen3.6 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.19 in·$1.13 out·1M·100% up

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

Common questions

What is the difference between Llama 4 Maverick and Qwen3.6 Flash?

Llama 4 Maverick is developed by Meta AI while Qwen3.6 Flash is developed by Qwen. Llama 4 Maverick has a 1.0M token context window vs Qwen3.6 Flash's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Llama 4 Maverick or Qwen3.6 Flash?

It depends on your use case. Llama 4 Maverick and Qwen3.6 Flash 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 Maverick cost compared to Qwen3.6 Flash?

Llama 4 Maverick costs $1.5/M input tokens and Qwen3.6 Flash costs $0.25/M input tokens. Qwen3.6 Flash is $1.25/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 Llama 4 Maverick and Qwen3.6 Flash on Rival?

This page shows a side-by-side comparison of Llama 4 Maverick and Qwen3.6 Flash 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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Model pages

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