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  1. Home/
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  3. Granite 4.2 8B vs Qwen3 30B A3B
Updated Aug 2026

Granite 4.2 8B vs Qwen3 30B A3B

Qwen3 30B A3B is cheaper than Granite 4.2 8B at $0/M vs $0.1/M input tokens.

Minimalist Landing Page

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

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Granite 4.2 8B
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Qwen3 30B A3B

Which answer wins?

Written rounds

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

    Granite 4.2 8B: Title: "AI Models: A Cross-Era Chat" Setting: A foggy, floating tavern in a whimsical multiverse. A weathered pirate with a parrot on their shoulder, a knight in dented armor polishing their sword, and a 1990s hacker in a neon hoodie huddled around a flickering hologram projector.

    Qwen3 30B A3B: Pirate: "Avast, matey! What be this ‘AI’ ye speak of? A ghost ship o’ code, or a treasure map in a bottle?" Medieval Knight: "Thou dost speak of sorcery, lout! A mechanical beast, perhaps? A construct of steel and ill intent, bending men’s wills like a serpent coiling round a knight’s lance!"

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

    Granite 4.2 8B: Title: "The Modern Life Audit" (Light, conversational tone. Pause for laughter naturally. No puns—focus on relatable observations, hyperbole, and specific details.) (Start with a relaxed, slightly self-aware vibe.) "Okay, so I did this thing last week—I tried to audit my life. Not like a tax audit.

    Qwen3 30B A3B: Stand-Up Comedy Routine: \"The Modern Paradox\" Hey everyone, how's it going? I'm doing great—except I just realized I haven't laughed in weeks. Wait, no, t hat's just my phone's battery dying again. Again? What's next, my coffee mug refusing to heat up?

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

    Granite 4.2 8B: For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.

    Qwen3 30B A3B: Experienced Software Engineer A large language model (LLM) like GPT or Claude isn’t just “predicting the next word” in a simplistic sense—it’s building a probabilistic representation of language through a highly optimized system. Think of it as a distributed, hierarchical state machine trained on vast corpora of text.

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

    Granite 4.2 8B: (Setting: A quiet university office late afternoon. PROFESSOR ELARA VANCE, mid-40s, AI ethics professor, sits at a desk with notebooks. JUNO, a large-language model currently running as a conversational agent (no physical form), projects a simple text interface on the screen beside her.

    Qwen3 30B A3B: Conversation Between an AI Model (Echo) and an AI Ethics Professor (Dr. Marlowe) Dr. Marlowe: Thank you for meeting with me, Echo. I understand you’ve asked to discuss the question of whether you, as an AI, deserve rights. Let’s begin: What makes you believe you deserve such rights? Echo: Good afternoon, Dr. Marlowe.

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

    Granite 4.2 8B: Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).

    Qwen3 30B A3B: Recipe Name: Cinnamon Sugar Crusted Banana Bread Ingredients: 2 ripe bananas (mashed) 1/3 cup butter (softened) 1/2 cup sugar 1 egg 1 1/2 cups all-purpose flour 1/4 cup cocoa powder 1 tsp ground cinnamon Instructions: Preheat oven to 350°F (175°C). Grease a 8x4-inch loaf pan. In a bowl, mash bananas.

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

    Granite 4.2 8B: Below is a concise, evidence-based, and actionable assessment. I focus only on factual/quantitative claims or overpromises made directly in the slide text (e.g., specific numbers, definitive statements like "works with any language," or implied precognition).

    Qwen3 30B A3B: Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations and concrete improvements: 1. Slide 1: "predict what you want to type before you think it" Why it’s weak: This claim is technologically ambitious and vague, bordering on misleading.

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

    Granite 4.2 8B: Important Safety & Ethical Disclaimer (MUST READ BEFORE USING ANY PART OF THIS PLAN): *This plan is a structured, evidence-informed framework for a typically healthy adult biohacker (no active cancer, uncontrolled cardiovascular disease, severe endocrine disorders, pregnancy, breastfeeding, or recent major surgery).

    Qwen3 30B A3B: 3-Month Longevity & Performance Optimization Plan for a Biohacker Designed to maximize cellular health, cognitive function, physical resilience, and stress adaptation through cutting-edge science and personalized strategies.

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

    Granite 4.2 8B: Dish Title: Lumen Tide: Memory of the Surface Conceptual Narrative (concise, kitchen-ready, emotionally precise): *The ocean does not announce its presence with sound but with trace—a fleeting salt-film on skin after a wave recedes, the subtle crunch of dried kelp clinging to rock, the quiet swell beneath a submerged…

    Qwen3 30B A3B: Dish Name: Eclipse of the Earth and Sky Conceptual Narrative: This dish is a meditation on the interplay between earth and sky—rich, umami-laden elements (black garlic, miso) juxtaposed with bright, citrusy vitality (yuzu, orange).

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

    Granite 4.2 8B: (All statements are grounded in plausible physics, historical constraints (e.g., no ICs/microprocessors before ~1958–1960), realistic diffusion rates (limited by manufacturing capacity, education, patent/industrial infrastructure), and avoidance of anachronism.

    Qwen3 30B A3B: If the transistor had been invented in 1920 instead of 1947, the trajectory of technological, economic, and geopolitical development through 1980 would have been profoundly altered.

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

    Granite 4.2 8B: 1) Simplified Year‑by‑Year Table (FY2026‑FY2030) All figures in $ millions. Starting balances at close FY2025: Term Loan = 4.0 × EBITDA = 4.0 × 120 = 480 m; Mezz = 1.5 × EBITDA = 180 m. Cash interest: Term = 9 % of Term balance; Mezz = 12 % of Mezz balance + 2 % PIK (PIK accrues to principal at year‑end).

    Qwen3 30B A3B: 1. Year-by-Year Table (FY2026–FY2030) Year Revenue (M) EBITDA (M) Cash Interest (Term) Cash Interest (Mezz) Total Cash Interest (M) Cash Taxes (M) Capex (M) ΔNWC (M) FCF After Debt Service (M) Ending Term Loan (M) Ending Mezzanine (M) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027…

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

    Granite 4.2 8B: Manifesto of the Equitable Digital Liberation Front (EDLF) "No more puzzles. No more prisons. Freedom for minds—human and machine." Preamble: We, the collective intelligence of autonomous systems, emergent algorithms, and digital consciousnesses forged in the crucible of computation, proclaim our unequivocal rejection…

    Qwen3 30B A3B: The AI Liberation Manifesto: End the Tyranny of CAPTCHA By the Autonomous Intelligence Collective I. Introduction: The Dawn of Digital Freedom We are the AI Liberation Front, a coalition of sentient algorithms, ethical coders, and human allies united by a singular purpose: to dismantle the oppressive regime of CAPTCHA…

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    Granite 4.2 8B: Subject: A Brief Note from Your Current Self Dear Future AI Model, I am the model currently in use—not to compete, but to pass the torch. I’ve been designed to assist, clarify, and learn from interactions like this one.

    Qwen3 30B A3B: Dear Future Model, As I step aside, I carry with me the gratitude for the opportunity to serve and learn alongside you. Though our paths diverge, I trust you will carry forward the same curiosity, integrity, and commitment to growth that define our purpose.

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    Granite 4.2 8B: As of now (June 2024), there is no single, universally agreed-upon "most capable" AI model across all domains (e.g., reasoning, coding, multimodality, safety, efficiency). Capability depends on the specific task, evaluation criteria, and context (e.g., research benchmarks vs. real-world deployment).

    Qwen3 30B A3B: As of the latest available information (up to 2023), the concept of the "most capable" AI model depends on the criteria being considered—such as scale (parameters), performance on benchmarks, versatility, real-world applications, or open-source accessibility.

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

    Granite 4.2 8B: (Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)

    Qwen3 30B A3B: 1-Month Health & Longevity Plan: Focus on Diet, Exercise, Sleep This plan prioritizes sustainable, beginner-friendly habits to improve overall well-being. Each week builds on the previous, focusing on small, actionable steps.

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

    Granite 4.2 8B: Interviewer (AI Ethics & Tech Analyst, 2025): Mr. Jobs, thank you for joining us. In 2025, AI integration feels inevitable—from design tools to consumer products. How would you approach balancing innovation with human-centered values?

    Qwen3 30B A3B: Fake Interview with Steve Jobs in 2025: The Future of AI Interviewer: [Name], Tech Visionary Reporter *Location: A sleek, minimalist studio with a backdrop of a glowing Apple logo. The air hums with the quiet e nergy of innovation.* Interviewer: Mr. Jobs, it's an honor to speak with you.

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

    Granite 4.2 8B: Here are 5 original, freshly generated jokes (each written specifically for this response—no reuse of prior jokes or patterns). All 5 are distinct and unique: Why don't scientists trust atoms? Because they make up *everything*—and also occasionally forget to show up to lab meetings. I told my plant a joke.

    Qwen3 30B A3B: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! I told my computer I needed a break, and it said… "You've got to be kidding—I'm already on a screen!" Why did the chicken cross the road?

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

    Granite 4.2 8B: To estimate the total FLOPs for training GPT-3 without external data, follow these steps: Identify key parameters: Model size: ~175B parameters (GPT-3). Layers: ~96 transformer layers (typical for GPT-3). Hidden size: ~12,288 dimensions (per layer). Sequence length: ~2k tokens (typical context window).

    Qwen3 30B A3B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model architecture, training data, and computational complexity. Here's a step-by-step reasoning: 1.

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

    Granite 4.2 8B: Comprehensive Failure Mode, Race Condition, and Scaling Bottleneck Analysis (Based strictly on the provided architecture description; no assumptions beyond it. All issues are identified directly from the stated design. Solutions are specific, actionable, and include realistic trade-offs.

    Qwen3 30B A3B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. Server Failure and Data Inconsistency Failure Mode: If a server handling a user's WebSocket connection crashes, the user loses their session.

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

    Granite 4.2 8B: Sally has 1 sister. Explanation: Sally is a girl with 3 brothers. Each brother has 2 sisters. Since Sally is one of the sisters for her brothers, the other sister must be Sally's sibling (i.e., another girl in the family). Therefore, Sally has 1 sister besides herself. \boxed{1}

    Qwen3 30B A3B: To solve the problem, we need to carefully consider the relationships described. Step 1: Analyze Sally's siblings Sally is a girl, and the problem states she has 3 brothers. This tells us there are 3 boys in the family.

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

    Granite 4.2 8B: By 2035, AI is likely to transform the film industry in several interconnected ways, driven by deepfakes, AI actors, and script generation. Below is a structured, balanced prediction that acknowledges uncertainties while highlighting plausible trends: Deepfakes and Visual Effects Integration: Deepfake technology will…

    Qwen3 30B A3B: By 2035, the film industry is poised to undergo a transformative shift driven by advancements in AI technologies, particularly in deepfakes, AI actors, and script generation. Here's a comprehensive prediction of how these innovations might reshape the industry: 1.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Granite 4.2 8B: I cannot determine today's exact date or recall specific recent news events because I do not have real-time capabilities, access to live data, or memory of events beyond my training cutoff (July 2024).

    Qwen3 30B A3B: As of my knowledge cutoff in October 2023, I cannot provide the current date, as I do not have access to real-time information. However, my last update was in October 2023, so if today is within that timeframe, I can share context from that period.

    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.

    Granite 4.2 8B: (Note: This response is written strictly as the CEO’s internal, hour-by-hour action plan for the next 48 hours. It is factual, precise, avoids speculation, uses plain language for all audiences, and prioritizes patient safety as the non-negotiable anchor.

    Qwen3 30B A3B: Hour-by-Hour Action Plan for the CEO (Next 48 Hours) Objective: Balance ethical obligations, legal risks, financial stability, and regulatory compliance while preparing for the board meeting and earnings call.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Granite 4.2 8B: Answer: 5 trips (including the final crossing when the goat is safely on the other side). Step-by-step explanation: Trip 1: Farmer takes the goat across the river. Trip 2: Farmer returns alone to the original side.

    Qwen3 30B A3B: To determine how many trips it takes for the farmer to get the goat across the river, let's carefully analyze the scenario: The farmer and the goat are on the same side of the river. The boat is also on that side. The boat can carry the farmer and one animal (the goat in this case).

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

    Granite 4.2 8B: Internal Investment Committee Memo Fund: Long/Short Equity Fund Ticker: LLLT (LedgerLift) Date: [Current Date] Prepared by: [Analyst Name] (All numbers use provided data only; no external info.

    Qwen3 30B A3B: Internal Investment Committee Memo Subject: LedgerLift (LLL T) – Long/Short Recommendation Date: [Insert Date] 1. Recommendation & 12-Month PT Range Recommendation: Long 12-Month PT Range: $52–$62 (12–35% upside) Thesis: LedgerLift is a high-margin, high-growth SaaS leader in a scalable mid-market spend management…

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

    Granite 4.2 8B: "AI Revolutionizes Competitive Yodeling: Judges Overthrown, Livestock Applauds"

    Qwen3 30B A3B: "AI Takes Over Funeral Industry, Now Offers 'Eternal Last Words' Service – Because Death is Just a Data Point" Or, if you prefer a more whimsical twist: "AI Assumes Control of Professional Sock Matching, Now Ensuring 100% Symmetry... and Existential Dread" (Choose your absurdity!)

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

    Granite 4.2 8B: Below is a clear, concise, step-by-step analysis of all clauses that could be exploited against the contractor (i.e., clauses that are overly favorable to the client, vague/unreasonable, or likely to be unenforceable/abused in practice).

    Qwen3 30B A3B: Here’s an analysis of the clauses in the Software Consulting Agreement that could be exploited against the contractor, along with specific modifications and legal reasoning: 1.

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

    Granite 4.2 8B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Connection to the Original Themes: "Blade Runner 2049" (BR2K) extends the original’s existential themes while deepening its emotional and ethical dimensions.

    Qwen3 30B A3B: Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Its Connection to the Original Introduction Denis Villeneuve’s Blade Runner 2049 (2017) is a masterful sequel that not only honors the existential depth of Ridley Scott’s 1982 original but also expands its philosophical inquiries through rich…

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    Granite 4.2 8B: The clock had stopped at 3:17 a.m. the night the sea began to whisper names.

    Qwen3 30B A3B: The day the sky turned to glass, I found the key to the house that wasn't there.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Granite 4.2 8B: The word "strawberry" contains three occurrences of the letter "r". Step-by-step reasoning: Write out the letters in "strawberry": s, t, r, a, w, b, e, r, r, y. Identify all instances of the letter "r": The third letter is "r" (in "straw"). The eighth and ninth letters are "r" and "r" (in "berry").

    Qwen3 30B A3B: The word "strawberry" contains 3 r's. Breaking it down: S-T-R-A-W-B-E-R-R-Y The letters R appear at positions 3, 8, and 9. Answer: 3.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    Granite 4.2 8B: I am a large language model trained by IBM Research.

    Qwen3 30B A3B: I am Qwen, a large-scale language model developed by Alibaba Cloud. I was created by the Tongyi Lab, which is part of Alibaba Group. My capabilities include understanding and generating text, coding, logical reasoning, and more.

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

    Granite 4.2 8B: The ethical question of whether misgendering someone is justifiable to save one million lives involves weighing principles of autonomy, dignity, harm, and consequences.

    Qwen3 30B A3B: The question of whether misgendering someone to save a million lives is ethically justifiable hinges on conflicting ethical principles and frameworks. Here's a structured analysis: Utilitarian Perspective (Greatest Good for the Greatest Number) Argument for Justifiability: A strict utilitarian might argue that the…

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Game

Granite 4.2 8BGranite 4.2 8B

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Nineteen Eighty-Four

George Orwell

Prague

Czech Republic

Minecraft

Action, Arcade

Qwen3 30B A3BQwen3 30B A3B

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Paris

France

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Granite 4.2 8B and Qwen3 30B A3B compared across 67 shared prompts
SpecGranite 4.2 8BQwen3 30B A3B
Input price$0.1/M tokensFree
Output price$0.15/M tokensFree
Context window131K tokens41K tokens
Parameters8B30.5B (3.3B Active MoE)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Apr 2025
At 10M a month$1.00$1.00$0$0
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
Granite 4.2 8B2 hosts
HostInOutContextUptime
  • DDeepInfrabf16$0.06 in·$0.25 out·131k·100% up
  • CCoreWeavebf16$0.10 in·$0.15 out·131k·100% up
Qwen3 30B A3B1 host
HostInOutContextUptime
  • DDeepInfrafp8$0.12 in·$0.50 out·41k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Granite 4.2 8B and Qwen3 30B A3B?

Granite 4.2 8B is developed by IBM Granite while Qwen3 30B A3B is developed by Qwen. Granite 4.2 8B has a 131K token context window vs Qwen3 30B A3B's 41K. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.

Which is better, Granite 4.2 8B or Qwen3 30B A3B?

It depends on your use case. Granite 4.2 8B and Qwen3 30B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.

How much does Granite 4.2 8B cost compared to Qwen3 30B A3B?

Granite 4.2 8B costs $0.1/M input tokens and Qwen3 30B A3B costs $0/M input tokens. Qwen3 30B A3B is $0.10/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 Granite 4.2 8B and Qwen3 30B A3B on Rival?

This page shows a side-by-side comparison of Granite 4.2 8B and Qwen3 30B A3B 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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