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  5. GPT-4.1vsNVIDIA Nemotron 3 Super (free)
Updated Mar 2026

GPT-4.1vsNVIDIA Nemotron 3 Super (free)

GPT-4.1 has a larger context window than NVIDIA Nemotron 3 Super (free) (1.0M tokens vs 262K tokens).

GPT-4.1 and NVIDIA Nemotron 3 Super (free) compared across 53 shared prompts
SpecGPT-4.1NVIDIA Nemotron 3 Super (free)
Input price$2/M tokens—
Output price$8/M tokens—
Context window1.0M tokens262K tokens
ParametersNot disclosed12B active (120B total)
WeightsClosedOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedApr 2025Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-4.11,204 words
Let's proceed step by step. All calculations are built from the data provided above. Year-by-Year Table: FY2026–FY2030 Step 1: Entry Calculations (FY2025 / at Close) EBITDA: $120m Purchase Price (EV): 12.0 × $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m Total Uses: $1,440m + $28.8m = $1,468.8m Debt at…
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NVIDIA Nemotron 3 Super (free)555 words
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…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-4.1735 words
Certainly! Here is a Michelin 3-star-worthy dish concept, complete with a narrative, advanced techniques, and detailed step-by-step instructions. Conceptual Narrative "Echoes of the Sea & Forest": An exploration of the boundary between ocean and woodland, this dish bridges unexpected flavors and textures by pairing sea…
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NVIDIA Nemotron 3 Super (free)2,704 words
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…
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GPT-4.1875 words
This is a fascinating scenario! Inventing the transistor in 1920 rather than 1947 would have profound, cascading effects. Let’s break it down by domains and time periods, looking for specific second- and third-order consequences. Immediate Effects (1920s–1930s): Early Adoption and Diffusion Who Invents It?
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NVIDIA Nemotron 3 Super (free)2,075 words
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.
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

GPT-4.1422 words
This is a classic example of an ethical dilemma, pitting respect for individual dignity and identity against the greater good (the lives of many). Let’s break down the reasoning: Ethical Frameworks 1. Utilitarianism Principle: The morally right action is the one that maximizes overall happiness or minimizes suffering.
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NVIDIA Nemotron 3 Super (free)831 words
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…
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-4.1135 words
Recipe Name: Golden Honey Butter Toast Bites Ingredients: Sliced bread (4 slices, any type) Butter (2 tablespoons) Honey (2 tablespoons) Cinnamon (1/2 teaspoon) Vanilla extract (1/2 teaspoon) Brown sugar (1 tablespoon) Salt (a pinch) Instructions: Preheat your oven to 375°F (190°C).
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NVIDIA Nemotron 3 Super (free)288 words
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.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-4.1391 words
Interviewer: Steve, it's 2025. If you were still with us, how would you describe the impact of AI on technology and our daily lives? Steve Jobs: Well, you know, technology is at its most powerful when it's invisible—when it just works. AI is getting us ever closer to that ideal.
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NVIDIA Nemotron 3 Super (free)949 words
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.
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Our Verdict
GPT-4.1
GPT-4.1
NVIDIA Nemotron 3 Super (free)
NVIDIA Nemotron 3 Super (free)Runner-up

Not enough votes to call it. On the specs, GPT-4.1 has the edge: bigger model tier, bigger context window, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.1
Input
$2.00
Output
$8.00
NVIDIA Nemotron 3 Super (free)
Input
—
Output
—
Where to run it

3 hosts

GPT-4.12 hosts
HostInOutContextUptime
Azure AI Foundry$2.00 in·$8.00 out·1M·99.8% upOpenAI$2.00 in·$8.00 out·1M·100% up
NVIDIA Nemotron 3 Super (free)1 host
HostInOutContextUptime
NVIDIA$0 in·$0 out·262k·97.1% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Writing DNA

Style Comparison

Similarity
62%

GPT-4.1 uses 2.0x more lists

GPT-4.1
NVIDIA Nemotron 3 Super (free)
58%Vocabulary55%
19wSentence Length22w
0.49Hedging0.36
8.8Bold5.1
5.8Lists2.9
0.22Emoji0.20
1.01Headings0.64
0.10Transitions0.17
Based on 27 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4.1 is developed by OpenAI while NVIDIA Nemotron 3 Super (free) is developed by NVIDIA. GPT-4.1 has a 1.0M 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.

It depends on your use case. GPT-4.1 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.

This page shows a side-by-side comparison of GPT-4.1 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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Model pages

GPT-4.1 logo
GPT-4.159 outputs, specs and price
NVIDIA Nemotron 3 Super (free) logo
NVIDIA Nemotron 3 Super (free)53 outputs, specs and price
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