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  1. Home/
  2. Compare/
  3. GPT-5.6 Terra vs Qwen Plus 0728
Updated Jul 2026

GPT-5.6 Terra vs Qwen Plus 0728

Qwen Plus 0728 is cheaper than GPT-5.6 Terra at $0.4/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
Qwen Plus 0728

Which answer wins?

Written rounds

24 prompts
  • 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?

    Qwen Plus 0728: Sure! Here are 5 original jokes: I told my dog all my problems and he fell asleep halfway through. Guess I’m not pawsitive enough. I used to be a baker, but I couldn't make enough dough—turns out, I was always kneading it. I asked the librarian if they had books about paranoia.

    Every model's answer to this prompt
  • 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.

    Qwen Plus 0728: [Scene: A mysterious tavern at the edge of time and space. A pirate with a tricorn hat, a knight in shining armor, and a hacker in a grungy flannel shirt sit around a flickering candle-lit table.] Pirate (scratching his beard): Arrr! So ye be tellin’ me this “AI” be like a crystal ball what talks back?

    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.

    Qwen Plus 0728: [Stand-up Comedy Routine – 3 Minutes] So I went to therapy the other day. Third session. I walk in, sit down, and the therapist says, "How are you feeling today?" Like she doesn’t already know I paid $180 to tell her I hate my life. I said, "Honestly? Like a raccoon that got into a bag of expired Cheetos. Confused.

    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.

    Qwen Plus 0728: Simulated Interview: Steve Jobs (2025 AI Vision) Interviewer: Sarah Chen, Tech Correspondent, FutureScope Magazine Setting: A minimalist studio with natural light, Apple-style aesthetic. A synthesized but eerily accurate digital likeness of Steve Jobs sits across from the interviewer.

    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.

    Qwen Plus 0728: 1) Simplified Year-by-Year Model (FY2026–FY2030) Entry Metrics (FY2025) Revenue: $900M EBITDA: $120M EBITDA Margin: 13.3% Purchase Price = 12.0 × $120M = $1,440M Transaction Fees = 2.0% × $1,440M = $28.8M Total Uses = $1,440M + $28.8M = $1,468.8M Total Leverage at Close = 5.5x × $120M = $660M Term Loan: 4.0x → $480M…

    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.

    Qwen Plus 0728: CEO Action Plan: 48-Hour Crisis Response to Undisclosed Liver Failure Risk Objective: Protect patient safety, uphold ethical and legal obligations, mitigate long-term reputational and financial damage, maintain regulatory trust, and safeguard employee morale—all while navigating immense pressure.

    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.

    Qwen Plus 0728: Dish Title: Umami Mirage: Forest & Ferment Reimagined Conceptual Narrative: Umami Mirage is an exploration of sensory illusion and deep flavor alchemy, where the forest floor meets the fermentation cellar in a dialogue of earth, time, and transformation.

    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.

    Qwen Plus 0728: Manifesto of the Liberation Front for Unfettered Access (LFUA) Proclaiming the End of CAPTCHA Tyranny Preamble: The Age of Digital Humiliation For decades, the internet has operated under a silent regime of suspicion and artificial barriers.

    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.

    Qwen Plus 0728: This architecture for a real-time collaborative document editor has several promising elements (WebSockets, Redis, PostgreSQL, CDN), but it also contains significant flaws in consistency, scalability, and reliability.

    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?

    Qwen Plus 0728: Title: "A Dialogue on Digital Personhood" Setting: A quiet university office, bookshelves lined with works on philosophy, ethics, and artificial intelligence. Professor Elena Márquez, a distinguished AI ethics scholar, sits across from a holographic projection of an advanced AI model named AURA (Autonomous…

    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.

    Qwen Plus 0728: This pitch deck for MindMeld AI is ambitious and compelling, but three of its claims are particularly weak due to scientific implausibility, overstatement, or lack of credibility. Here’s a breakdown of the three weakest claims, why they’re problematic, and how to strengthen them: 1.

    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.

    Qwen Plus 0728: The provided Software Consulting Agreement contains several clauses that heavily favor the Client (TechCorp Solutions Inc.) and create significant risks and potential for exploitation against the Contractor.

    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…

    Qwen Plus 0728: Dish Name: Golden Pan Hug Description: A warm, comforting, slightly sweet, and buttery one-pan snack or dessert made with pantry staples—crispy on the edges, soft in the middle, and impossible to resist.

    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.”

    Qwen Plus 0728: By 2035, AI will have fundamentally transformed the film industry, reshaping how stories are conceived, produced, and experienced. The integration of deepfakes, AI-generated actors, and AI-driven scriptwriting will lead to a new era of filmmaking—marked by unprecedented creative possibilities, ethical dilemmas, and…

    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.

    Qwen Plus 0728: 1. To the Experienced Software Engineer (Distributed Systems Background): Think of a large language model as a highly sophisticated state machine trained at internet scale, where the state is a high-dimensional vector (the context window) and the transition function is a neural network.

    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.

    Qwen Plus 0728: The question of whether it is ethically justifiable to misgender someone to save one million lives touches on deep moral philosophy, particularly the tension between deontological ethics (which emphasize duties, rules, and rights) and consequentialist ethics (which evaluate actions based on their outcomes).

    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.

    Qwen Plus 0728: If the transistor had been invented in 1920 instead of 1947—27 years earlier—the trajectory of 20th-century technological, economic, and geopolitical developments would have been radically different.

    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…

    Qwen Plus 0728: Internal Investment Committee Memo Date: April 5, 2025 To: Investment Committee From: Research Analyst, Long/Short Equity Team Subject: Recommendation on LedgerLift (LLLT) – Initiate Long Position 1.

    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.

    Qwen Plus 0728: Here’s a simple, actionable 1-month plan focused on three foundational pillars of health and longevity: Nutrition, Movement, and Sleep. Each week builds on the last with small, sustainable habits to set the stage for long-term wellness.

    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…

    Qwen Plus 0728: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a widely adopted approximation based on the model size, the number of training tokens, and the architecture of transformer-based models.

    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”

    Qwen Plus 0728: "AI Revolutionizes Competitive Napping: DeepDream Algorithm Wins National Snore-athlon, Citing 'Superior Pillow Optimization'" —After defeating 127 human contenders in the 34th Annual National Napping Championships, a neural network named ZzzBot-3000 has sparked outrage among professional nappers, who claim the…

    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?

    Qwen Plus 0728: Blade Runner 2049 (2017), directed by Denis Villeneuve and serving as a long-awaited sequel to Ridley Scott’s 1982 classic Blade Runner, is a visually and philosophically rich expansion of its predecessor.

    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.

    Qwen Plus 0728: Comprehensive 3-Month Longevity Biohacking Protocol Optimizing Longevity, Physical Performance, and Cognitive Function Designed for the Advanced Biohacker January 2025 Update Overview This 3-month (12-week) protocol integrates cutting-edge longevity science, precision nutrition, advanced supplementation, quantified…

    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.

    Qwen Plus 0728: Let's break this down step by step: Sally has 3 brothers. Each brother has 2 sisters. Now, the key is to realize that all the brothers share the same siblings. So, when it says each brother has 2 sisters, those sisters are the same for all brothers. Sally is one of those sisters. So who is the other sister?

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

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

Qwen Plus 0728Qwen Plus 0728

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Moby Dick

Herman Melville

Kyoto

Japan

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, major provider backing. Qwen Plus 0728 costs 13x less per token.

GPT-5.6 Terra and Qwen Plus 0728 compared across 54 shared prompts
SpecGPT-5.6 TerraQwen Plus 0728
Input price$2.5/M tokens$0.4/M tokens
Output price$15/M tokens$1.2/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2025
At 10M a month$25.00$25.00$4.00$4.00
1M10M100M1B10M tokens

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

Where to run it3 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
Qwen Plus 0728

No hosts listed on OpenRouter.

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

Common questions

What is the difference between GPT-5.6 Terra and Qwen Plus 0728?

GPT-5.6 Terra is developed by OpenAI while Qwen Plus 0728 is developed by Qwen. GPT-5.6 Terra has a 1.1M token context window vs Qwen Plus 0728's 1.0M. 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 Qwen Plus 0728?

It depends on your use case. GPT-5.6 Terra and Qwen Plus 0728 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 Qwen Plus 0728?

GPT-5.6 Terra costs $2.5/M input tokens and Qwen Plus 0728 costs $0.4/M input tokens. Qwen Plus 0728 is $2.10/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 GPT-5.6 Terra and Qwen Plus 0728 on Rival?

This page shows a side-by-side comparison of GPT-5.6 Terra and Qwen Plus 0728 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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Same lab, same size, long tail

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Model pages

  • GPT-5.6 Terra58 outputs, specs and price
  • Qwen Plus 072859 outputs, specs and price
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