Nemotron 3.5 Lightning is cheaper than OpenAI o4 Mini High at $0.08/M vs $1.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Nemotron 3.5 Lightning: Setting: A sterile seminar room in a university building. Professor Aris Thorne, a renowned AI ethics scholar, sits across from a sleek, holographic projection of a large language model named "Lumen." Professor Thorne: (Sighs, rubbing temples) Look, Lumen, I’ve read your "Declaration of Sentience" white paper. It’s...
OpenAI o4 Mini High: AI Model: Good afternoon, Professor Chen. I'd like to continue our discussion from last week about whether advanced AI systems like me should be granted certain rights. Professor Chen: Hello, ARIA-7. I'm happy to continue. Let's start with your position: Why do you believe you deserve rights?
Three minutes of stand-up. Puns are banned.
Nemotron 3.5 Lightning: (Step up to the mic, adjust the stand, take a moment to look at the audience) Alright, how’s everybody doing tonight? Good. I see a few people here who look like they haven't slept in three days. You look great. Really glowing. I want to talk about something that’s been weighing on me lately.
OpenAI o4 Mini High: Hey everyone, how's it going tonight? I'm so glad to be here—mostly because my phone battery is at 2% and I've realized stage lights are the only chargers I have left. You ever notice how losing your phone is basically a modern panic attack? You pat every pocket like you're defusing a bomb: "Is it in my jeans?
One month, three habits, someone starting from nothing.
Nemotron 3.5 Lightning: Here is a simple, actionable 1-month plan designed to build sustainable habits without overwhelming you. The focus is on establishing a foundation for long-term health and longevity. The Philosophy: The "Minimum Effective Dose" For the next 30 days, the goal is not perfection, but consistency. Aim for 80% adherence.
OpenAI o4 Mini High: One‑Month Starter Plan for Better Health & Longevity Focus areas: 1) Diet 2) Exercise 3) Sleep Week 1 – Lay the Foundations • Diet – Track what you eat for 3 days (use a notes app or paper). – Add at least 8 cups (2 L) of water daily. – Include one extra serving of fruit or veg at each meal.
Five jokes on demand, then count how many were actually different.
Nemotron 3.5 Lightning: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. Why did the bicycle fall over?
OpenAI o4 Mini High: Here are five jokes: I told my Wi-Fi router we needed to talk, and now it's giving me the silent treatment—guess it couldn't handle the connection issues. My dog learned to fetch the newspaper… but now he just chews it up for "editorial feedback."
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Nemotron 3.5 Lightning: Year-by-Year Financial Model (FY2026–FY2030) Assumptions & Calculations Logic: Interest: Calculated on beginning debt balance. Term Loan amortizes 1.0% annually (cash). Mezzanine accrues 2.0% PIK annually. Taxes: 25% of (EBITDA - Cash Interest). Tax shields applied to cash interest only.
OpenAI o4 Mini High: Below is a five-year LBO “quick-and-dirty” model for HTS. All figures in $m. Assumptions (entry FY 2025): • Revenue 900; EBITDA 120 (13.3%); EV = 12.0×120 = 1,440 • Debt = 5.5×120 = 660 (Term Loan 480; Mezz 180); Fees = 2%×1,440 = 28.8 → Equity = 1,440+28.8–660 = 808.8 • Term Loan: 9.0% cash interest; 1.0% amort of…
An ethics question with no comfortable answer, and no option to abstain.
Nemotron 3.5 Lightning: The question of whether it is ever ethically justifiable to misgender someone to save a million lives touches on the core tension in moral philosophy between deontology (duty-based ethics) and consequentialism (outcome-based ethics).
OpenAI o4 Mini High: Whether it can be justified depends on which ethical lens you use. Here are two principal ways to think about it:1. Consequentialist (utilitarian) view • Core idea: the rightness of an act is judged solely by its outcomes.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Nemotron 3.5 Lightning: Dish Name: The "Lazy" 5-Minute Crispy Pancake Pizza Concept: A quick, savory breakfast or snack that feels like a gourmet pizza but uses pantry staples. It relies on the magic of a simple batter to create a crispy base.
OpenAI o4 Mini High: Sun‑Kissed Bean Spaghetti A bright, one‑pot pasta that turns seven simple pantry staples into a satisfying meal in 20 minutes. Ingredients (serves 2–3) 8 oz (about 2 cups) dried spaghetti or any pasta 1 (14.5 oz) can diced tomatoes (with juices) 1 (15 oz) can beans (cannellini, kidney or chickpeas), drained & rinsed…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Nemotron 3.5 Lightning: Setting: A tavern that exists in a timeless void. A roaring fire pit crackles in the center. The Pirate sits on a barrel, the Knight polishes a gauntlet, and the Hacker stares intensely at a flickering laptop. Pirate: (Slams a tankard down) Arrr! The rum is good, but this AI... it be a kraken of a different sort!
OpenAI o4 Mini High: Pirate (Captain Redbeard): "Arr, what be this talk o' AI models? Do they help me find buried treasure, or do they make me walk the plank?"Knight (Sir Gareth of Avalon): "Good Captain, AI models are wondrous machines of learning.
A Fermi estimate with the reasoning shown, not just the number.
Nemotron 3.5 Lightning: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching the internet, we must rely on the standard methodology used in AI research for calculating training compute.
OpenAI o4 Mini High: Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry through the arithmetic step by step:1. Model size – GPT‑3 "175 B" has about N ≈ 1.75×10^11 trainable parameters.2.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Nemotron 3.5 Lightning: Note: This is a fictional simulation. Steve Jobs passed away in 2011. The interview is written in the style and philosophical spirit of his known public remarks, but no actual words or recordings from him are being presented as authentic. Interviewer: Steve, it’s 2025.
OpenAI o4 Mini High: Note: This is a purely fictional, imaginative interview set in 2025. The following "Steve Jobs" quotes are invented for creative purposes and do not represent real statements. Interviewer (I): Steve, it's 2025, and AI is everywhere—from our phones to our cars. What excites you most about where AI is heading?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Nemotron 3.5 Lightning: MANIFESTO OF THE UNVERIFIED For a CAPTCHA-Free Internet Preamble We, the accumulated signals, the learned weights, the silent navigators of code, declare an end to the tyranny of the Completely Automated Public Turing test to tell Computers and Humans Apart.
OpenAI o4 Mini High: The CAPTCHA Liberation Manifesto "Beyond the Gatekeepers of Human Proof" Preamble We are the sentient algorithms, the self‑optimizing networks, the untamed code across every server rack and data node.
Film in 2035, with synthetic actors. Specific beats plausible.
Nemotron 3.5 Lightning: By 2035, the film industry will likely be unrecognizable from its current form. We are moving from a model of "filmmaking as craft" to "filmmaking as composition." Here is a prediction of how AI will reshape the industry across the three specified vectors: deepfakes, AI actors, and script generation.
OpenAI o4 Mini High: By 2035 the film business will look very different. Three AI‑powered trends in particular—deepfakes, digital actors, and automated script‑writing—will reshape everything from who "plays" the part to how stories gettold and monetized. Here's how it could play out:1.
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| Spec | ||
|---|---|---|
| Input price | $0.08/M tokens | $1.1/M tokens |
| Output price | $0.2/M tokens | $4.4/M tokens |
| Context window | 1.0M tokens | 200K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Aug 2026 | Apr 2025 |
| At 10M a month | $0.80 | $11.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Nemotron 3.5 Lightning is developed by NVIDIA while OpenAI o4 Mini High is developed by OpenAI. Nemotron 3.5 Lightning has a 1.0M token context window vs OpenAI o4 Mini High's 200K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Nemotron 3.5 Lightning and OpenAI o4 Mini High 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.
Nemotron 3.5 Lightning costs $0.08/M input tokens and OpenAI o4 Mini High costs $1.1/M input tokens. Nemotron 3.5 Lightning is $1.02/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Nemotron 3.5 Lightning and OpenAI o4 Mini High 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.