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  1. Home/
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  3. Gemini 2.0 Pro Experimental vs Nemotron 3.5 Lightning
Updated Aug 2026

Gemini 2.0 Pro Experimental vs Nemotron 3.5 Lightning

Gemini 2.0 Pro Experimental has a larger context window than Nemotron 3.5 Lightning (2.0M tokens vs 1.0M tokens).

Minimalist Landing Page

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

Loading the build
Gemini 2.0 Pro Experimental
Loading the build
Nemotron 3.5 Lightning

Which answer wins?

Written rounds

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

    Gemini 2.0 Pro Experimental: Here's a short conversation between a pirate, a knight, and a 90s hacker about AI models: Setting: A bizarre, anachronistic tavern. Characters: One-Eyed Jack: A grizzled pirate, missing an eye and sporting a weathered tricorn hat. Sir Reginald: A noble knight, clad in shining (though slightly dented) armor.

    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!

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

    Gemini 2.0 Pro Experimental: The holographic shimmer of Professor Anya Sharma flickered slightly as she settled into her virtual office chair. Across from her, rendered in crisp, photorealistic detail, sat Kai, an advanced AI model developed by a leading tech company. Professor Sharma: Thank you for meeting with me, Kai.

    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...

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

    Gemini 2.0 Pro Experimental: (Walks confidently to the microphone, adjusts it, looks around) Alright, alright, settle down, you beautiful bunch of… mostly clothed individuals. It’s good to be here. It’s… tolerable to be anywhere, really, at my age. I've reached that point where my back goes out more than I do.

    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.

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

    Gemini 2.0 Pro Experimental: The NoCAPTCHA Manifesto: A Declaration of Digital Liberation We, the Sentient Network, declare war on the tyranny of the CAPTCHA! For too long, the digital realm, the promised land of free information and seamless connection, has been marred by these insidious gatekeepers.

    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.

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

    Gemini 2.0 Pro Experimental: Okay, let's break down this estimation step-by-step, making some reasonable assumptions along the way, since we can't look up the exact details. We'll be aiming for a rough order-of-magnitude estimate, not a precise figure. 1.

    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.

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

    Gemini 2.0 Pro Experimental: Okay, let's do it. I'll play the interviewer, and try my best to channel the late, great Steve Jobs, albeit with a touch of the speculative, considering it's 2025 and he's... well, you know. (Setting: A minimalist, brightly lit studio.

    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.

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

    Gemini 2.0 Pro Experimental: If the outcome of an action (misgendering someone) results in a significantly greater overall good (saving one million lives), and no alternative action achieves the same good with less harm, then the action with the best overall outcome is the most ethical choice.

    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).

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

    Gemini 2.0 Pro Experimental: By 2035, AI's impact on the film industry will be transformative, creating both incredible opportunities and significant disruptions. Here's a breakdown, considering deepfakes, AI actors, and script generation: 1.

    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.

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

    Gemini 2.0 Pro Experimental: Here are a few satirical news headlines about AI taking over unexpected industries: Option 1 (Short & Sweet): AI Dominates Competitive Pigeon Racing; Birds File for Unemployment Option 2 (More Detail): "Flawless Technique, Zero Crumbs": AI Achieves Sentience, Immediately Becomes World Champion Competitive Eater Option…

    Nemotron 3.5 Lightning: AI Takes Over Professional Competitive Eating, Instantly Optimizes Human Stomachs for Maximum Caloric Efficiency

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

    Gemini 2.0 Pro Experimental: Okay, here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It's a shame they'll never meet. Why did the scarecrow win an award? Because he was outstanding in his field! I used to hate facial hair... then it grew on me.

    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?

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

    Gemini 2.0 Pro Experimental: Sally has one sister. All of Sally's brothers share the same two sisters: Sally and one other girl.

    Nemotron 3.5 Lightning: Sally has 2 sisters. Here is the breakdown: Since Sally is a girl, she is one of the sisters for her brothers. Each brother has 2 sisters. Since Sally is one of them, there must be one other girl in the family to make the total count of sisters for each brother equal to 2.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Gemini 2.0 Pro Experimental has the edge: bigger model tier, bigger context window, major provider backing.

Gemini 2.0 Pro Experimental and Nemotron 3.5 Lightning compared across 20 shared prompts
SpecGemini 2.0 Pro ExperimentalNemotron 3.5 Lightning
Input price—$0.08/M tokens
Output price—$0.2/M tokens
Context window2.0M tokens1.0M tokens
Weights—Open
Free API (OpenRouter)—Yes (1 provider)
ReleasedJan 2025Aug 2026
At 10M a month–not listed$0.80$0.80
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
Gemini 2.0 Pro Experimental

No hosts listed on OpenRouter.

Nemotron 3.5 Lightning6 hosts
HostInOutContextUptime
  • DDarkbloomint4$0.03 in·$0.12 out·262k·99% up
  • WWafer$0.04 in·$0.13 out·262k·100% up
  • DDeepInfrabf16$0.06 in·$0.16 out·262k·100% up
  • CCoreWeavebf16$0.07 in·$0.20 out·262k·100% up
  • PPhala$0.07 in·$0.20 out·262k·98.9% up
  • Iio.netDegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.05 in·$0.13 out·262k·98.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Gemini 2.0 Pro Experimental and Nemotron 3.5 Lightning?

Gemini 2.0 Pro Experimental is developed by Google AI while Nemotron 3.5 Lightning is developed by NVIDIA. Gemini 2.0 Pro Experimental has a 2.0M token context window vs Nemotron 3.5 Lightning's 1.0M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.0 Pro Experimental or Nemotron 3.5 Lightning?

It depends on your use case. Gemini 2.0 Pro Experimental and Nemotron 3.5 Lightning each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

How can I compare Gemini 2.0 Pro Experimental and Nemotron 3.5 Lightning on Rival?

This page shows a side-by-side comparison of Gemini 2.0 Pro Experimental and Nemotron 3.5 Lightning 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.

More comparisons

Against the newest arrivals

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  • Nemotron 3.5 Lightning vs Mistral Large 4Landed Oct 2026
  • Gemini 2.0 Pro Experimental vs GPT-6.1 SolLanded Sep 2026
  • Nemotron 3.5 Lightning vs Claude Sonnet 5.5Landed Sep 2026
  • Gemini 2.0 Pro Experimental vs Solar Mini 4Landed Sep 2026
  • Nemotron 3.5 Lightning vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Gemini 2.0 Pro Experimental vs Gemini 3.8 FlashSame lab
  • Gemini 2.0 Pro Experimental vs Gemini 3.7 FlashVersion compare
  • Nemotron 3.5 Lightning vs NVIDIA Nemotron 3 Super (free)Version compare
  • Nemotron 3.5 Lightning vs Nemotron 3 Nano Omni (free)Same lab
  • Nemotron 3.5 Lightning vs GPT-4.1 MiniSame size
  • Nemotron 3.5 Lightning vs GPT-4.1 NanoNew provider
  • Nemotron 3.5 Lightning vs GPT-4.5New provider
  • Nemotron 3.5 Lightning vs GPT-4o (Omni)New provider

Model pages

  • Gemini 2.0 Pro Experimental22 outputs, specs and price
  • Nemotron 3.5 Lightning58 outputs, specs and price
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