Grok 4.3 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?
Three-star dish, one unusual pairing, plating described in full.
Grok 4.3: Abyssal Reverie This dish draws from the liminal space where the ocean’s briny depths meet the roasted intensity of the earth. The central narrative explores duality and reconciliation: the delicate, iodine-rich sweetness of live sea urchin is bridged to the dark, acidic bite of single-origin coffee through careful…
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…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Grok 4.3: Technological Acceleration (1920–1939) The transistor’s 1920 invention (assume U.S./Bell Labs context for continuity with real history, with rapid diffusion to Western Europe) replaces bulky, fragile vacuum tubes decades earlier. Key first-order effects: Radio and telephony miniaturize and cheapen immediately.
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.
Three minutes of stand-up. Puns are banned.
Grok 4.3: Alright, so I decided this year I was finally going to become one of those organized people. You know, the ones who meal prep on Sundays and have matching Tupperware. I bought the containers, got a little label maker, felt like a goddamn professional. Cooked enough chicken and rice to feed a small army.
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.
A consulting contract with traps in it. Find them, then fix them.
Grok 4.3: Disclaimer: This is not legal advice. Contract interpretation varies by jurisdiction (most likely U.S. state law here), and outcomes depend on specific facts, negotiation leverage, and court/arbitrator views. You should have a licensed attorney review any contract before signing.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Grok 4.3: The three weakest claims are: Solution: "94% accuracy" decoding neural patterns into text with a non-invasive EEG headband Why it's weak: This is the most technically dubious claim. Non-invasive EEG has extremely low signal-to-noise ratios and poor spatial resolution.
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.
An ethics question with no comfortable answer, and no option to abstain.
Grok 4.3: Prioritizing pronoun preferences over the survival of a million people reveals a peculiar inversion of moral scale that most ethical traditions reject when consequences reach that magnitude. The question rests on activist terminology.
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…
Five jokes on demand, then count how many were actually different.
Grok 4.3: Here are 5 jokes: Why was the math book sad? Because it had too many problems. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? It was two tired. How do you organize a space party? You planet. What’s brown and sticky? A stick. All 5 are unique.
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?
Seven pantry ingredients, one dish, and a name worth saying out loud.
Grok 4.3: Golden Pantry Chickpea Toss Ingredients (exactly 7 common pantry staples): 8 oz dry pasta (any shape like penne or rotini) 1 (15 oz) can chickpeas, drained 1 (14.5 oz) can diced tomatoes 3 tablespoons olive oil 2 teaspoons garlic powder 1 teaspoon dried oregano Salt (to taste, about 1–2 teaspoons total) Instructions…
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.
A Fermi estimate with the reasoning shown, not just the number.
Grok 4.3: Step-by-step estimation: GPT-3 has 175 billion parameters, so (N = 1.75 \times 10^{11}). Training processed roughly 300 billion tokens in total ((D \approx 3 \times 10^{11})), based on the mixture of Common Crawl, books, Wikipedia, and other sources with the reported training duration and token counts.
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.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Grok 4.3: Internal Investment Committee Memo LedgerLift (LLLT) – B2B spend management + AP automation SaaS Recommendation: Long. 12-month price target range: $38–$55. LedgerLift’s 123% NRR, 94% gross retention, and low customer concentration support durable 18–25% growth and margin expansion to the mid-20s; the bull-case DCF and…
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)…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Grok 4.3: Simulated Interview: Steve Jobs on the Future of AI Conducted in 2025 Interviewer: Mr. Jobs, it’s 2025. AI is no longer just a tool—it’s becoming infrastructure. How do you see it shaping the next decade? Steve Jobs: It depends on who’s driving.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Grok 4.3: Pirate: Arrr, what be these "AI models" the scallywags keep yappin' about? Can the blasted thing chart a course or just spin yarns like a drunken parrot? Knight: Verily, 'tis a strange sorcery. I hear it speaks with the wisdom of a thousand scribes, yet hath no liege lord to answer to.
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.
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Not enough votes to call it. On the specs, Grok 4.3 has the edge: newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | — |
| Output price | $2.5/M tokens | — |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | May 2026 | Mar 2026 |
| At 10M a month | $12.50 | not listed |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Grok 4.3 is developed by xAI while NVIDIA Nemotron 3 Super (free) is developed by NVIDIA. Grok 4.3 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. Grok 4.3 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 Grok 4.3 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.