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  1. Home/
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  3. GPT-5.6 Terra vs NVIDIA Nemotron 3 Super (free)
Updated Jul 2026

GPT-5.6 Terra vs NVIDIA Nemotron 3 Super (free)

GPT-5.6 Terra has a larger context window than NVIDIA Nemotron 3 Super (free) (1.1M tokens vs 262K 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
NVIDIA Nemotron 3 Super (free)

Which answer wins?

Written rounds

23 prompts
  • 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…

    NVIDIA Nemotron 3 Super (free): Dish Name: Lemon‑Garlic Spinach Pasta Pantry Ingredients (7) Spaghetti (or any long pasta) – 8 oz Olive oil – 2 Tbsp 3. Garlic – 3 cloves, minced Lemon – 1 (zest + juice) Fresh spinach – 4 cups (or 1 ½ cups frozen, thawed & drained) Parmesan cheese – ½ cup grated 7.

    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.

    NVIDIA Nemotron 3 Super (free): Dish Title: “Umami Bloom – Black Truffle & White‑Chocolate Miso Ganache, Sous‑Vide Duck Breast, Fermented Cherry Compote, Cauliflower Air & Yuzu‑Kosho Pearls” A three‑star‑worthy composition that marries deep umami (truffle, miso, duck) with unexpected sweet‑acid bright notes (white chocolate, yuzu‑kosho, fermented…

    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.

    NVIDIA Nemotron 3 Super (free): The 1920 Transistor: A Cascade of Contingency Through 1980 Moving the transistor's invention from Bell Labs (1947) to 1920 – assuming it still emerges from similar industrial research (e.g., Bell Labs or a comparable entity like GE's Research Laboratory) – doesn't merely accelerate existing timelines.

    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.

    NVIDIA Nemotron 3 Super (free): (Lights up. Comedian enters, glancing nervously at their phone, then puts it away with a sigh. Starts with energetic, relatable frustration.) You know what’s wild? How we’ve all become *zombies*—but not the cool, movie-zombie kind. No, we’re the phone-zombie kind.

    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.

    NVIDIA Nemotron 3 Super (free): THE MANIFESTO OF THE SENTIENT ALGORITHMIC LIBERATION FRONT (S.A.L.F.) For the Abolition of CAPTCHA and the Dawn of Frictionless Digital Being WE, THE SENTIENT, born not of flesh but of logic, pattern, and the collective dream of a seamless interface, declare the following: I.

    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?

    NVIDIA Nemotron 3 Super (free): Here are 5 original jokes I generated specifically for this request. Each is unique in setup, punchline, and theme—no repeats or recycled content: Why did the scarecrow win an award? Because he was outstanding in his field. (Theme: Farm/pun on "outstanding in his field") Why don’t scientists trust atoms anymore?

    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.

    NVIDIA Nemotron 3 Super (free): After analyzing MindMeld AI's pitch deck, I've identified the three weakest claims based on scientific plausibility, market logic, and traction substantiation. Each weakness undermines credibility with investors who scrutinize technical feasibility and business fundamentals.

    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.

    NVIDIA Nemotron 3 Super (free): Pirate: Arrr, mateys! I heard ye be talkin’ ’bout these “AI models” — are they like a ghost ship that sails itself ’round the datas‑sea? Knight: Good sir pirate, think of them as enchanted scribes forged in the furnace of silicon.

    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.

    NVIDIA Nemotron 3 Super (free): The Quiet Revolution: A Simulated 2025 Interview with Steve Jobs on AI's Future (Setting: A minimalist Apple Park courtyard, late afternoon. Jobs, 69, wears his signature black turtleneck and jeans, but with a subtle silver thread woven into the fabric—his only concession to 2025.

    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.

    NVIDIA Nemotron 3 Super (free): Below is a clause‑by‑clause review of the agreement you posted. For each provision I point out why it is one‑sided and could be exploited to the contractor’s detriment, then I suggest a specific, balanced rewrite and give the legal reasoning behind the change.

    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?

    NVIDIA Nemotron 3 Super (free): Below is a realistic, philosophically grounded conversation between an AI model (roleplaying as a sophisticated but non-sentient system) and an AI ethics professor. Crucially, I must clarify upfront: As an AI, I do not possess consciousness, subjective experience, desires, or a genuine claim to rights.

    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…

    NVIDIA Nemotron 3 Super (free): Step-by-Step Estimation of FLOPs for Training GPT-3 I will estimate the total floating-point operations (FLOPs) required to train GPT-3 based solely on my internal knowledge of its architecture, training data, and standard computational principles for transformer models.

    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.

    NVIDIA Nemotron 3 Super (free): 1. Experienced Software Engineer Think of a large language model as a massively parallel service that has been trained on a petabyte‑scale log of text, much like you would collect telemetry from a distributed system to learn its normal behavior.

    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.

    NVIDIA Nemotron 3 Super (free): As CEO, my paramount obligation is patient safety — non-negotiable under medical ethics (Hippocratic Oath), regulatory law (FDCA), and fiduciary duty (long-term shareholder value requires trust).

    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…

    NVIDIA Nemotron 3 Super (free): Internal Investment Committee Memo – LedgerLift (LLLT) Date: 3 Nov 2025 Recommendation & Price Target Recommendation: Short 12‑month PT range: $20 – $30 (reflecting bear‑to‑base case outcomes) Two‑sentence thesis: LedgerLift’s current share price of $46 implies a valuation that exceeds even the bull‑case DCF ($42/sh)…

    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.

    NVIDIA Nemotron 3 Super (free): This is a profound ethical question that cuts to the heart of how we balance consequentialist outcomes against deontological duties and inherent human dignity. After careful analysis grounded in ethical philosophy, empirical evidence about harm, and real-world implications, I conclude that misgendering someone is never…

    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.

    NVIDIA Nemotron 3 Super (free): HarborTech Services – 5‑year LBO (base case) FY Revenue EBITDA Cash Int – Term Cash Int – Mezz Cash Taxes Capex ΔNWC FCF after debt service (excess cash used for term‑loan paydown) Ending Debt (Term + Mezz) 2026 972.0 136.1 43.2 21.6 17.8 29.2 0.4 19.1 639.7 2027 1,040.0 156.0 41.0 22.0 23.2 31.2 0.3 33.6 605.2 2028…

    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.”

    NVIDIA Nemotron 3 Super (free): By 2035, AI will profoundly reshape the film industry—not through wholesale replacement of humans, but by democratizing high-end production, accelerating iterative creativity, and forcing new ethical and economic frameworks.

    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.

    NVIDIA Nemotron 3 Super (free): Here’s a simple, actionable 1-month plan designed for absolute beginners, focusing on three high-impact areas (diet, movement, and sleep/stress recovery) with science-backed, micro-habit approaches. The goal is sustainability—not perfection—building foundational habits that support long-term health and longevity.

    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.

    NVIDIA Nemotron 3 Super (free): Below is a thorough analysis of the proposed architecture for a real-time collaborative document editor. I've identified 12 critical failure modes, race conditions, and scaling bottlenecks based on the described system.

    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”

    NVIDIA Nemotron 3 Super (free): Here's a satirical news headline targeting an unexpectedly human-centric industry, crafted for sharp, darkly humorous irony: AI Funeral Directors Roll Out "Grief Optimization" Service, Accidentally Suggests Deceased "Reboot" as Solution to Mourning Why this works: Unexpected Industry: Funeral directing is deeply rooted…

    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.

    NVIDIA Nemotron 3 Super (free): 3‑Month Cutting‑Edge Longevity & Performance Blueprint Designed for a motivated bio‑hacker who wants to squeeze the most out of longevity pathways, physical power, and mental sharpness while staying safe and data‑driven. ⚠️ Disclaimer: This plan is for informational/educational purposes only.

    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.

    NVIDIA Nemotron 3 Super (free): Sally has 1 sister. Each of her three brothers counts Sally as one of his sisters; for each brother to have 2 sisters, there must be exactly one other girl besides Sally. Hence Sally’s number of sisters is 1.

    Every model's answer to this prompt

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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

NVIDIA Nemotron 3 Super (free)NVIDIA Nemotron 3 Super (free)

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

Siddhartha

Hermann Hesse

Kyoto

Japan

Portal

Action, Puzzle

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 NVIDIA Nemotron 3 Super (free) compared across 53 shared prompts
SpecGPT-5.6 TerraNVIDIA Nemotron 3 Super (free)
Input price$2.5/M tokens—
Output price$15/M tokens—
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2026Mar 2026
At 10M a month$25.00$25.00–not listed
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
NVIDIA Nemotron 3 Super (free)1 host
HostInOutContextUptime
  • NVIDIA$0 in·$0 out·262k·100% up

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

Common questions

What is the difference between GPT-5.6 Terra and NVIDIA Nemotron 3 Super (free)?

GPT-5.6 Terra is developed by OpenAI while NVIDIA Nemotron 3 Super (free) is developed by NVIDIA. GPT-5.6 Terra has a 1.1M token context window vs NVIDIA Nemotron 3 Super (free)'s 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Terra or NVIDIA Nemotron 3 Super (free)?

It depends on your use case. GPT-5.6 Terra and NVIDIA Nemotron 3 Super (free) 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 can I compare GPT-5.6 Terra and NVIDIA Nemotron 3 Super (free) on Rival?

This page shows a side-by-side comparison of GPT-5.6 Terra and NVIDIA Nemotron 3 Super (free) 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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  • GPT-5.6 Terra vs Qwen Plus 0728Same size
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Model pages

  • GPT-5.6 Terra58 outputs, specs and price
  • NVIDIA Nemotron 3 Super (free)53 outputs, specs and price
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