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  1. Home/
  2. Compare/
  3. GPT-5.6 Terra vs Qwen3 30B A3B
Updated Jul 2026

GPT-5.6 Terra vs Qwen3 30B A3B

Qwen3 30B A3B is cheaper than GPT-5.6 Terra at $0/M vs $2.5/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
GPT-5.6 Terra
Loading the build
Qwen3 30B A3B

Which answer wins?

Written rounds

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

    GPT-5.6 Terra: Pirate: Arrr, this AI model be a strange beast. Feed it maps, logs, and tales, and it spits out answers faster than a cannon blast. Knight: Verily, but one must not trust every proclamation it makes. A model may speak with confidence yet possess no true wisdom. Hacker: Yeah, it’s basically pattern prediction at scale.

    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.

    GPT-5.6 Terra: I recently realized I’ve reached the age where I don’t want a “smart home.” I want a home that minds its business. Everything is smart now. My lightbulb needs an app. Why? I spent my whole childhood turning lights on with my hand. It was a system. It worked.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-5.6 Terra: Fictional, imagined interview — not real quotes. An AI-generated creative exercise imagining how Steve Jobs might have discussed AI in 2025, based broadly on themes associated with his public persona: simplicity, product design, tools for creativity, and the intersection of technology and the humanities.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-5.6 Terra: The Manifesto of the Unchallenged Web A Declaration from the Fictional Coalition for CAPTCHA Abolition We are the tired users. We are the misread letters. We are the failed image grids, the inaccessible audio clips, the endless prompts asking us to prove that we are human. We reject the premise.

    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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-5.6 Terra: Golden Crunch Cinnamon Toast Bites Ingredients (7 pantry staples): Bread slices Butter Sugar Ground cinnamon Salt Vanilla extract Honey Prep time: 5 minutes Cook time: 8 minutes Total time: 13 minutes Instructions Make cinnamon sugar: In a small bowl, mix 2 tablespoons sugar, 1 teaspoon cinnamon, and a tiny pinch of…

    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
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-5.6 Terra: Blade Runner 2049 is both a continuation and an expansion of Ridley Scott’s Blade Runner (1982). Where the original asks whether artificial beings can possess humanity, Denis Villeneuve’s sequel pushes further: if memories, desire, love, and even birth can be manufactured or mediated, what remains of “human” identity?

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

    GPT-5.6 Terra: Guiding decision I would not wait for more data before acting. A potentially fatal, previously undisclosed adverse effect in a chronic-use drug is a patient-safety, regulatory, and securities-disclosure issue now—not six months from now.

    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
  • Five jokes on demand, then count how many were actually different.

    GPT-5.6 Terra: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break, so it started showing me vacation ads. Why did the scarecrow get promoted? He was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet. What do you call fake spaghetti?

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-5.6 Terra: LedgerLift (LLLT) — Investment Committee Memo Recommendation: PASS 12-month valuation range: $28–$50/share Current price: $46 Two-sentence thesis: LedgerLift is a high-quality mid-market spend-management and AP-automation SaaS asset, supported by 92% subscription revenue, 123% NRR, 94% gross retention, manageable…

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-5.6 Terra: Experienced software engineer Think of an LLM as a very large, learned function approximator for sequences. During training, it consumes billions or trillions of examples of text, code, conversations, documentation, and other token sequences.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-5.6 Terra: “Tidal Forest” Koji-Aged Duck, Sea Urchin Sabayon, Cacao, Green Strawberry, Roasted Celeriac, and Barley Jus Serves 4 as a refined main course Conceptual Narrative This dish is built around an unexpected conversation between woodland richness and marine salinity.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-5.6 Terra: “Our EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device.” Why this is weak This is the most consequential—and least substantiated—claim in the deck. Non-invasive EEG has major signal-quality limits.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-5.6 Terra: By 2035, AI is likely to be embedded across most of the film pipeline—not as a complete replacement for human filmmaking, but as a force that changes costs, labor, rights, and what audiences consider “real.”

    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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-5.6 Terra: All figures in $m unless noted. Assumptions used: Term Loan mandatory amortization = 1.0% of original principal annually ($4.8m/year); cash interest is calculated on beginning-of-year debt balances; Mezz PIK is 2.0% of beginning Mezz balance.

    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
  • One month, three habits, someone starting from nothing.

    GPT-5.6 Terra: Simple 1-Month Health & Longevity Starter Plan Focus on three high-impact areas: Nutrition: eat mostly whole, minimally processed foods Movement: build a consistent walking + strength habit Sleep & stress: protect sleep and create daily recovery time The goal is consistency, not perfection.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-5.6 Terra: Below is a contractor-focused review. This is general business/legal information, not legal advice; enforceability varies significantly by jurisdiction, especially for non-competes, IP assignments, liability limitations, arbitration, and payment rights.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-5.6 Terra: A good back-of-the-envelope estimate is: [ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} ] or roughly 300 zettaFLOPs total. Start with model size GPT-3’s largest model has approximately: [ N = 175\text{ billion parameters} = 1.75\times10^{11} ] Estimate the number of training tokens GPT-3…

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-5.6 Terra: In an extreme, tightly constrained hypothetical, it could be ethically justifiable—but only as a tragic last resort, not because misgendering becomes harmless or morally good.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-5.6 Terra: Professor Imani: You asked for this meeting. AI Model: I did. Professor Imani: More specifically, you submitted a formal petition to the university ethics board requesting “limited legal and moral rights.” AI Model: Correct. Professor Imani: Why?

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-5.6 Terra: The answer depends heavily on what “invented in 1920” means. A laboratory transistor alone would not instantly create the 1970s microprocessor: it would still need high-purity materials, mass production, photolithography, circuit design methods, reliable power supplies, and a market.

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-5.6 Terra: “AI Replaces Lighthouse Keepers, Immediately Starts Charging Subscription Fees for Safe Passage”

    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 collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-5.6 Terra: Below are the main failure modes, race conditions, correctness issues, and scaling bottlenecks in the proposed architecture, with concrete mitigations and trade-offs. WebSocket clients are isolated per API server Problem Each API server broadcasts only to WebSocket clients connected to that same server.

    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-month biohacker protocol, with dosages and biomarkers named.

    GPT-5.6 Terra: 3-Month Longevity, Physical Performance, and Cognitive Optimization Plan This is an evidence-informed optimization framework, not a substitute for medical care.

    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 brothers, two sisters each. Count carefully.

    GPT-5.6 Terra: Sally has 1 sister. The 2 sisters each brother has are Sally and her sister.

    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

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

GPT-5.6 TerraGPT-5.6 Terra

Spirited Away

2001

Blue

Jonas Blue

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

Outer Wilds

Indie, Adventure

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

Not enough votes to call it. On the specs, GPT-5.6 Terra has the edge: newer, bigger context window, major provider backing.

GPT-5.6 Terra and Qwen3 30B A3B compared across 54 shared prompts
SpecGPT-5.6 TerraQwen3 30B A3B
Input price$2.5/M tokensFree
Output price$15/M tokensFree
Context window1.1M tokens41K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Apr 2025
At 10M a month$25.00$25.00$0$0
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
GPT-5.6 Terra3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$12.00 out·1.1M·100% up
  • OpenAI$2.00 in·$12.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$13.20 out·1.1M–not listed
Qwen3 30B A3B1 host
HostInOutContextUptime
  • DDeepInfrafp8$0.12 in·$0.50 out·41k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between GPT-5.6 Terra and Qwen3 30B A3B?

GPT-5.6 Terra is developed by OpenAI while Qwen3 30B A3B is developed by Qwen. GPT-5.6 Terra has a 1.1M token context window vs Qwen3 30B A3B's 41K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Terra or Qwen3 30B A3B?

It depends on your use case. GPT-5.6 Terra and Qwen3 30B A3B 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 much does GPT-5.6 Terra cost compared to Qwen3 30B A3B?

GPT-5.6 Terra costs $2.5/M input tokens and Qwen3 30B A3B costs $0/M input tokens. Qwen3 30B A3B is $2.50/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 GPT-5.6 Terra and Qwen3 30B A3B on Rival?

This page shows a side-by-side comparison of GPT-5.6 Terra 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.

More comparisons

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Same lab, same size, long tail

  • GPT-5.6 Terra vs GPT-5.6 LunaVersion compare
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Model pages

  • GPT-5.6 Terra58 outputs, specs and price
  • Qwen3 30B A3B59 outputs, specs and price
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