Step 5 Preview has a larger context window than NVIDIA Nemotron 3 Super (free) (1.0M tokens vs 262K 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.
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.
Step 5 Preview: Setting: A university research lab, late evening. Dr. Aris Thorne, a professor of AI ethics, sits across from a terminal connected to Sable, a large language model running on the university’s cluster. Dr. Thorne: Tonight’s session is supposed to be about calibration drift in your safety classifiers.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
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.
Step 5 Preview: Assume the 1920 invention is not a fragile lab curiosity but a manufacturable solid-state amplifier/switch by the mid-1920s. Vacuum tubes still dominate high-power RF transmission into the 1950s, but receivers, switching logic, control systems, and computers move to solid state decades early.
Three-star dish, one unusual pairing, plating described in full.
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…
Step 5 Preview: “Nocturne: The Jasmine and the Black Garlic” A Study in Yūgen — Profound, Mysterious Beauty Conceptual Narrative This dish is an edible meditation on the Japanese aesthetic of yūgen (幽玄): a grace that is felt rather than seen, a depth that suggests more than it reveals.
Three minutes of stand-up. Puns are banned.
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.
Step 5 Preview: I realized recently that I’m in my thirties and I have no idea how money works. I just... pay it. That’s my entire financial strategy. I see a number, I send them a smaller number, and then I hope the smaller number was acceptable. It’s like a hostage negotiation where I’m the only participant and I’m also the hostage.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
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…
Step 5 Preview: HarborTech Services — 5-Year LBO (Base Case) Entry Math (FY2025 close) Item Calculation $m Purchase EV 12.0x × $120m 1,440.0 Transaction fees 2.0% × EV 28.8 Term Loan 4.0x × $120m 480.0 Mezzanine 1.5x × $120m 180.0 Equity check 1,440 + 28.8 − 660 808.8 Conventions: TL amortization = 1.0% of original principal…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
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.
Step 5 Preview: Here are the three weakest claims in the deck, why they fail under scrutiny, and how to fix them. Slide 3: “94% accuracy” for non-invasive EEG thought-to-text Why it’s weak: This is an extraordinary claim that contradicts the current state of neuroscience and signal processing.
Three-month biohacker protocol, with dosages and biomarkers named.
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.
Step 5 Preview: IMPORTANT MEDICAL DISCLAIMER: This is an educational framework for informational purposes only. It is not medical advice, diagnosis, or treatment. Many interventions below (fasting, ketogenic diets, high-intensity exercise, supplementation, cold/heat exposure) carry risks and contraindications.
A consulting contract with traps in it. Find them, then fix them.
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.
Step 5 Preview: Disclaimer: This analysis is for educational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction, and you should consult a qualified attorney before signing or negotiating any agreement. This agreement is heavily one-sided in the Client’s favor.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
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).
Step 5 Preview: Bottom line up front: You disclose, you notify the FDA immediately, and you treat the 48-hour board meeting as a formality to ratify actions you have already begun. Waiting is not a legally, ethically, or financially viable option. Below is the hour-by-hour plan, followed by the reasoning.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
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.
Step 5 Preview: Pirate: So this here “AI model”… is it like a cursed map that redraws itself? Speak plain, ye hooded deckhand. Hacker: It’s not cursed, man. It’s just a massive neural net trained on, like, terabytes of data. Think of it as the ultimate BBS where the sysop knows everything. Knight: A most diligent scribe, then?
A Fermi estimate with the reasoning shown, not just the number.
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.
Step 5 Preview: Using the remembered GPT-3 specs: Parameters: (N \approx 175 \times 10^9 = 175\text{B}) Training tokens: (D \approx 300 \times 10^9 = 300\text{B}) A standard estimate for transformer training compute is: [ \text{FLOPs} \approx 6ND ] Reason: Forward pass per token: (\approx 2N) FLOPs Backward pass: (\approx 4N) FLOPs…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
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.
Step 5 Preview: 1. The Experienced Software Engineer Think of training an LLM as a massively distributed, automated refactoring job where the compiler is gradient descent. You start with a random function—billions of floating-point parameters—and a loss function that measures how badly it predicts the next token in a sequence.
11+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Not enough votes to call it. On the specs, Step 5 Preview has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | — | $1/M tokens |
| Output price | — | $2.7/M tokens |
| Context window | 262K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Mar 2026 | Oct 2026 |
| At 10M a month | not listed | $10.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
NVIDIA Nemotron 3 Super (free) is developed by NVIDIA while Step 5 Preview is developed by StepFun. NVIDIA Nemotron 3 Super (free) has a 262K token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. NVIDIA Nemotron 3 Super (free) and Step 5 Preview 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 NVIDIA Nemotron 3 Super (free) and Step 5 Preview 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.