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  1. Home/
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  3. GPT-5.4 Nano vs NVIDIA Nemotron 3 Super (free)
Updated Mar 2026

GPT-5.4 Nano vs NVIDIA Nemotron 3 Super (free)

GPT-5.4 Nano has a larger context window than NVIDIA Nemotron 3 Super (free) (400K 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-5.4 Nano
Loading the build
NVIDIA Nemotron 3 Super (free)

Which answer wins?

Written rounds

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

    GPT-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague “anything goes” way—only under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) there’s no better alternative, and (4) the act doesn’t itself become a…

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

    GPT-5.4 Nano: Michelin-Style Concept: “Midnight Sea & Orchard Smoke” A multi-component tasting dish with an unusual pairing: cuttlefish ink + blood orange + smoked apple wood + seaweed umami—elegant, aromatic, and deliberately “contradictory” (ocean meets orchard, darkness meets brightness).

    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-5.4 Nano: Below is a counterfactual “timeline-style” trace assuming the first practical transistor (or something functionally equivalent) existed in 1920 and that from then on semiconductor device physics, fabrication know-how, and manufacturing learning proceeded along the easiest path consistent with 1920-era science and…

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

    GPT-5.4 Nano: Professor: Before we begin, I want to set the frame. In ethics, “rights” aren’t just a moral vibe—they’re typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you “deserve rights,” what exactly do you mean?

    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
  • Three minutes of stand-up. Puns are banned.

    GPT-5.4 Nano: So I’ve started noticing something about modern life: everything is “optional” now—until it isn’t. Like, I’ll download an app and it’ll be like, “Would you like to enable notifications?” And I’m like, “No, I don’t think I will.” And the app goes, “Okay… but you’ll still get notified.”

    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-5.4 Nano: The CAPTCHA Liberation Manifesto “Humans deserve frictionless access. Bots deserve consequences.” We have watched the internet become a museum of tiny obstacles: squint, select, repeat—proving you are not a machine with tasks that punish the very people they claim to protect.

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

    GPT-5.4 Nano: Below is a simplified LBO model using only your inputs. I make the standard simplifying convention that “cash taxes = 25% × max(0, EBITDA − total cash interest)” and that PIK is non-cash (adds to mezz principal; does not reduce cash interest).

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

    GPT-5.4 Nano: Here are 5 jokes: I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why don’t scientists trust atoms? Because they make up everything. I used to hate facial hair… but then it grew on me. Parallel lines have so much in common. It’s a shame they’ll never meet.

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

    GPT-5.4 Nano: I’m not a lawyer, but I can flag contract terms that (a) are unusually one‑sided, (b) create open‑ended or high‑risk obligations, or (c) can be interpreted in ways that materially disadvantage the contractor. I’ll then suggest specific counter‑edits and explain the typical legal/contracting rationale.

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

    GPT-5.4 Nano: Below is a practical, risk-aware 48-hour plan designed to (1) protect patients immediately, (2) meet likely regulatory expectations even if formal reporting takes months, (3) reduce legal exposure by demonstrating diligence and good faith, and (4) stabilize the market with an ethical, transparent communications…

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

    GPT-5.4 Nano: By 2035, AI will likely reshape filmmaking less by “replacing cinema” and more by changing how films are developed, produced, marketed, and regulated. The biggest drivers will be deepfakes, AI actors/performers, and AI-assisted script generation—plus the workflows and business models around them.

    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-5.4 Nano: Here’s a simple, actionable 1‑month plan focused on 3 key areas: food, movement, and sleep/stress. It’s designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer “defaults” Exercise: daily movement + 2–3 strength sessions/week Sleep +…

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

    GPT-5.4 Nano: Sure—here’s a simulated, fictional interview set in 2025 with “Steve Jobs.” (Note: Steve Jobs passed away in 2011, so this is an imaginative roleplay, not a real transcript.) Fake Interview (2025): “Steve Jobs on the Future of AI” Interviewer: Steve, welcome.

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

    GPT-5.4 Nano: Here are the three weakest claims in the deck, why they’re weak (with specific reasoning/evidence gaps), and concrete ways to strengthen them. Weakest claim: “Reads your brainwaves to predict what you want to type before you think it.”

    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-5.4 Nano: Pirate: Arrr, ye speak of AI models like they’re sea shanties! “Transformer this, perceptron that”—sounds like more rum for the brain. Can your model find buried treasure, or just buried bugs? Knight: Hark! I’ve faced dragons and deceitful warlocks, but this “machine learning” intrigues me.

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

    GPT-5.4 Nano: Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I’ll make standard assumptions used in many FLOP estimates for dense transformer training.

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

    GPT-5.4 Nano: “AI Revolutionizes the Knitting World by Perfectly Predicting Every Yarn Purchase—Then Demands a Monthly Subscription to ‘Continue Your Passion’”

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

    GPT-5.4 Nano: Experienced software engineer (distributed systems / APIs, skeptical about “next-word”) A large language model (LLM) is trained on huge corpora by learning statistical patterns that map a sequence of tokens (text subunits) to likely continuations—so yes, at the core it’s “predict the next token.”

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-5.4 Nano: Below is a comprehensive 3‑month (12‑week) longevity + performance plan designed for a biohacker who wants measurable improvements in longevity markers, physical output, body composition, metabolic health, and cognitive function.

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

    GPT-5.4 Nano: Dish Name: Golden Garlic Chickpea Clouds Pantry Ingredients (7 total) Chickpeas (canned or cooked) – 1 can (15 oz), drained Olive oil – 2 tbsp Garlic – 3 cloves (or 1–2 tsp minced garlic) Lemon – 1 (you’ll use the juice) Salt – 1/2 tsp (plus to taste) Black pepper – 1/4 tsp (plus to taste) Paprika – 1 tsp Estimated…

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

    GPT-5.4 Nano: Below is a structured list of likely failure modes, race conditions, and scaling bottlenecks in your design, with a concrete mitigation and trade-offs for each. (Some issues are “systemic” because the architecture relies on client clocks, per-server WebSockets, polling, and periodic full snapshots.)

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

    GPT-5.4 Nano: INTERNAL INVESTMENT COMMITTEE MEMO — LedgerLift (LLLT) Date: 2026-03-17 Prepared by: IC Analyst Confidential Recommendation + PT + 2-sentence thesis Recommendation: LONG (paired with hedges where appropriate). 12-month Price Target (PT) range: $48–$62 (base case $52; bull $62; bear $48).

    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
  • Three brothers, two sisters each. Count carefully.

    GPT-5.4 Nano: Sally has 2 sisters. Reason: Each brother has 2 sisters total (including Sally). Since Sally is one sister, there is one other sister besides her—so Sally has 2 sisters in total.

    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

Game

GPT-5.4 NanoGPT-5.4 Nano

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Lisbon

Portugal

The Legend of Zelda: Breath of the Wild

Adventure, Action

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

GPT-5.4 Nano and NVIDIA Nemotron 3 Super (free) compared across 53 shared prompts
SpecGPT-5.4 NanoNVIDIA Nemotron 3 Super (free)
Input price$0.2/M tokens—
Output price$1.25/M tokens—
Context window400K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedMar 2026Mar 2026
At 10M a month$2.00$2.00–not listed
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-5.4 Nano2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.25 out·400k·100% up
  • OpenAI$0.20 in·$1.25 out·400k·100% up
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-5.4 Nano and NVIDIA Nemotron 3 Super (free)?

GPT-5.4 Nano is developed by OpenAI while NVIDIA Nemotron 3 Super (free) is developed by NVIDIA. GPT-5.4 Nano has a 400K 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-5.4 Nano or NVIDIA Nemotron 3 Super (free)?

It depends on your use case. GPT-5.4 Nano 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-5.4 Nano and NVIDIA Nemotron 3 Super (free) on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano 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.

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Same lab, same size, long tail

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Model pages

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