Qwen3 30B A3B is cheaper than Granite 4.2 8B at $0/M vs $0.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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!"
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?
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.
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.
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.
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.
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.
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).
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.
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…
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…
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.
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| Spec | ||
|---|---|---|
| Input price | $0.1/M tokens | Free |
| Output price | $0.15/M tokens | Free |
| Context window | 131K tokens | 41K tokens |
| Parameters | 8B | 30.5B (3.3B Active MoE) |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Apr 2025 |
| At 10M a month | $1.00 | $0 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
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.
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.
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.
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.