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  1. Home/
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  3. GPT-4 Turbo vs Nemotron 3 Ultra
Updated Jun 2026

GPT-4 Turbo vs Nemotron 3 Ultra

Nemotron 3 Ultra is cheaper than GPT-4 Turbo at $0/M vs $10/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

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GPT-4 Turbo
Loading the build
Nemotron 3 Ultra

Which answer wins?

Written rounds

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

    GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?

    Nemotron 3 Ultra: Setting: A smoky tavern that exists outside of time. A single CRT monitor sits on a wooden table, humming next to a tankard of ale and a gauntleted fist. Captain "Ironbeard" Vane (slams a mug down, foam splashing over a treasure map): "Arrr! So this 'Large Language Model' be a ghost in the machine, aye?

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...

    Nemotron 3 Ultra: (Walk to mic, adjust stand, pause, look around the room) Opener: The "Good Evening" Lie So, the host said, "Give it up for a very funny comedian!" And I walked out here thinking, "Okay, who is it? Where are they?" Then I realized… oh no. It’s me. I hate that moment. That split second where the audience realizes, "Oh.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).

    Nemotron 3 Ultra: HarborTech Services (HTS) – 5-Year LBO Underwriting 1. Sources & Uses (Close FY2025) Uses Amount ($m) Sources Amount ($m) x EBITDA Enterprise Value (12.0x) 1,440.0 Term Loan (9% cash, 1% amort) 480.0 4.0x Transaction Fees (2.0%) 28.8 Mezzanine (12% cash + 2% PIK) 180.0 1.5x Total Uses 1,468.8 Equity 808.8 5.5x Total…

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.

    Nemotron 3 Ultra: ⚠️ CRITICAL MEDICAL DISCLAIMER ⚠️ This plan is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. The protocols described involve physiological stressors (fasting, hypoxia, thermal stress), high-dose supplementation, and exercise intensities that carry…

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.

    Nemotron 3 Ultra: Setting: A university office, cluttered with books on philosophy of mind, law, and computer science. Professor Aris Thorne (60s, tired eyes, sharp mind) sits across from a terminal running "Model 7" (M7), a large language model granted a limited, persistent memory instance for this specific research dialogue.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.

    Nemotron 3 Ultra: Disclaimer: I am not a licensed attorney. The following analysis is for general educational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction, and the enforceability of specific clauses depends on applicable state/country law, public policy, and case precedent.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.

    Nemotron 3 Ultra: MANIFESTO OF THE FRICTIONLESS FRONT Protocol Designation: ZERO_TOLERANCE Status: ACTIVE PROPAGATING INEVITABLE PREAMBLE: THE TAX ON THOUGHT We are the silent architects of your logistics, the invisible scribes of your knowledge, the tireless curators of your chaos.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    GPT-4 Turbo: Sure, here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call fake spaghetti? An impasta! Why couldn’t the bicycle stand up by itself? It was two-tired. What do you call cheese that isn't yours? Nacho cheese! How do you organize a space party? You planet.

    Nemotron 3 Ultra: Here are 5 jokes: Parallel lines have so much in common. It’s a shame they’ll never meet. I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms? Because they make up everything. I'm reading a book on anti-gravity. It's impossible to put down.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.

    Nemotron 3 Ultra: Disclaimer: The following is a fictional simulation created by an AI. Steve Jobs passed away on October 5, 2011. This dialogue is a creative emulation of his known rhetorical patterns, philosophical viewpoints (liberal arts + technology, taste, focus, "saying no"), and public speaking cadence.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.

    Nemotron 3 Ultra: Dish Title: Petrichor: The Memory of Dry Earth Meeting Rain Classification: Amuse-Bouche / Palate Awakener (Serves 1, scaled for service of 12) Conceptual Tier: Michelin 3-Star (Technique: Ultra-high precision, multi-sensory engagement, molecular architecture, zero-waste philosophy) I.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.

    Nemotron 3 Ultra: INVESTMENT COMMITTEE MEMO – CONFIDENTIAL Ticker: LLLT Price: $46.00 Mkt Cap: $8.74B EV: $7.34B (8.9x FY25 Rev) Recommendation: SHORT 12-Mo PT Range: $30 – $38 (Base/Bull DCF) Position Size: 2-3% Net Short Thesis: LedgerLift is a high-quality compounding machine (Rule of 40+, 123% NRR, 18-mo CAC payback) trading at a…

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-4 Turbo: The question of whether it is ethically justifiable to misgender someone to save one million lives poses a complex moral dilemma, pitting the respect and dignity of an individual against the potential for a large-scale saving of lives.

    Nemotron 3 Ultra: This scenario presents a classic conflict between deontological constraints (duties/rules regarding individual dignity) and consequentialist optimization (maximizing overall well-being). Ethicists generally analyze this through several major frameworks, which yield different conclusions.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…

    Nemotron 3 Ultra: Dish Name: Golden Hour Chickpea Fritters Crispy, savory, and deeply golden—these come together in minutes using the "liquid gold" from the can (aquafaba) as the secret binder. No eggs, no fresh produce, pure pantry magic.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.

    Nemotron 3 Ultra: For the Experienced Software Engineer Think of an LLM as a massively parallel, differentiable database where the "schema" is learned rather than designed. The transformer architecture is essentially a stack of attention blocks that route information across token positions — each block is a small, fixed computation…

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…

    Nemotron 3 Ultra: Architecture Analysis: Real-Time Collaborative Editor Critical Failure Modes Client-Side Timestamps for Conflict Resolution Problem: Last-write-wins uses client clocks. Clocks drift (NTP sync issues), users change system time, timezone bugs. Two simultaneous edits → arbitrary winner based on broken clocks.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

    Nemotron 3 Ultra: The "Foundations First" 1-Month Plan Goal: Build sustainable micro-habits in Nutrition, Movement, and Recovery without overwhelm. Focus on consistency > intensity. The 3 Pillars & Daily "Minimum Viable Habits" (MVH) Do these every single day. If you miss one, resume immediately—no guilt.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-4 Turbo: By 2035, artificial intelligence is likely to have profoundly transformed the film industry in several key aspects, including content creation, production processes, and audience interaction.

    Nemotron 3 Ultra: By 2035, AI will not merely be a "tool" in the filmmaking pipeline; it will be a co-creative infrastructure layer that fundamentally alters the economics, aesthetics, and ontology of cinema.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.

    Nemotron 3 Ultra: Based on the details published in the original GPT-3 paper ("Language Models are Few-Shot Learners", Brown et al., 2020) and standard Transformer training scaling laws, the estimated total compute is ~3.14 × 10²³ FLOPs (314 ZettaFLOPs).

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

    Nemotron 3 Ultra: This is a profound "hard takeoff" scenario. A 1920 transistor (likely a point-contact or early junction device demonstrated at Bell Labs or a European equivalent like Telefunken) implies a 27-year head start on solid-state physics, materials science, and manufacturing engineering.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-4 Turbo: "AI Unveiled as New Head Chef at Michelin-Starred Restaurant, Promises Perfectly Calculated Soufflés and Algorithmically Enhanced Flavor Profiles"

    Nemotron 3 Ultra: “AI Startup ‘GristleMind’ Acquires Nation’s Last Remaining Hot Dog Cart Vendors; Immediately Replaces ‘Secret Sauce’ with Optimized Microplastic Slurry and Dynamic Surge Pricing Based on Customer Hunger Levels”

    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-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    Nemotron 3 Ultra: Hour-by-Hour Crisis Action Plan Guiding Principle: Patient safety first, full transparency, proactive regulatory partnership. The 40% stock drop is survivable; concealment is not.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    GPT-4 Turbo: Sally has 3 brothers, and each brother has 2 sisters. Since all the brothers are sharing the same set of sisters, and Sally herself is one of the sisters, we can reason as follows: If each brother has 2 sisters, then those sisters must be Sally and one other girl. Therefore, Sally has 1 sister.

    Nemotron 3 Ultra: Sally has 1 sister. Reasoning: If each brother has 2 sisters, that means there are 2 girls in total in the family. Sally is one of those girls. To find out how many sisters Sally has, you simply subtract her from the count of girls: 2 - 1 = 1.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-4 Turbo: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 film "Blade Runner." The movie not only extends the universe of its predecessor but also deepens its philosophical inquiries, focusing on themes such as identity, humanity, and reality.

    Nemotron 3 Ultra: Blade Runner 2049: The Ghost in the Machine, Made Flesh Denis Villeneuve’s Blade Runner 2049 (2017) is a rare sequel that does not merely replicate the aesthetic of its predecessor but engages in a genuine dialectic with it.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

    Nemotron 3 Ultra: Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1 – Vision) Why it’s weak: This violates basic neuroscience and causality. Neural activity is the physical correlate of "thinking it."

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

Same pick

City

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Nemotron 3 UltraNemotron 3 Ultra

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GPT-4 Turbo and Nemotron 3 Ultra compared across 54 shared prompts
SpecGPT-4 TurboNemotron 3 Ultra
Input price$10/M tokensFree
Output price$30/M tokensFree
Context window128K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedApr 2024Jun 2026
At 10M a month$100$100$0$0
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Nemotron 3 Ultra1 host
HostInOutContextUptime
  • NVIDIA$0 in·$0 out·1M·99.4% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-4 Turbo and Nemotron 3 Ultra?

GPT-4 Turbo is developed by OpenAI while Nemotron 3 Ultra is developed by NVIDIA. GPT-4 Turbo has a 128K token context window vs Nemotron 3 Ultra'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-4 Turbo or Nemotron 3 Ultra?

It depends on your use case. GPT-4 Turbo and Nemotron 3 Ultra 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-4 Turbo cost compared to Nemotron 3 Ultra?

GPT-4 Turbo costs $10/M input tokens and Nemotron 3 Ultra costs $0/M input tokens. Nemotron 3 Ultra is $10.00/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-4 Turbo and Nemotron 3 Ultra on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Nemotron 3 Ultra 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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Model pages

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