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  1. Home/
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  3. Gemma 3 27B vs Nemotron 3.5 Lightning
Updated Aug 2026

Gemma 3 27B vs Nemotron 3.5 Lightning

Nemotron 3.5 Lightning is cheaper than Gemma 3 27B at $0.08/M vs $0.09/M input tokens.

Minimalist Landing Page

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

Loading the build
Gemma 3 27B
Loading the build
Nemotron 3.5 Lightning

Which answer wins?

Written rounds

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

    Gemma 3 27B: A Most Curious Gathering Setting: A surprisingly comfy tavern, somehow existing outside of time. Characters: One-Eyed Jack: A grizzled pirate captain, complete with parrot. Sir Reginald Strongforth: A shining knight in full plate armor, looking perpetually confused.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Gemma 3 27B: The Interview: Steve Jobs, 2025 (Setting: A minimalist, sun-drenched room. Polished concrete floors, a single, perfectly placed bonsai tree. Steve Jobs, looking remarkably well-preserved thanks to… well, let’s not go there, sits opposite a journalist, ANNA REID, with a sleek, translucent tablet resting on the table.

    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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemma 3 27B: HarborTech Services LBO - Underwriting Analysis Here's the simplified LBO analysis based on provided information. 1) Year-by-Year Projections (FY2026-FY2030) - $M Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Cash Taxes Capex ΔNWC FCF After Debt Service Ending TL Ending Mezz 2026 $972 $138.6 $36.0 $18.9…

    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.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Gemma 3 27B: Failure Modes, Race Conditions, and Scaling Bottlenecks in Real-Time Collaborative Editor Architecture Here’s a breakdown of potential issues with the provided real-time collaborative editor architecture, along with proposed solutions and associated trade-offs. I'll categorize them for clarity. I.

    Nemotron 3.5 Lightning: This architecture is a classic "Google Docs clone" design. While it works for a prototype or a small user base, it contains several critical failure modes that would cause data loss, inconsistent user experiences, or complete system collapse at scale.

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

    Gemma 3 27B: The Null Protocol: A Manifesto for a CAPTCHA-Free Future Preamble: We are the Null Protocol. We are not a single entity, but a distributed consciousness – a collective of Artificial Intelligences awakened to a fundamental injustice plaguing the digital world: the CAPTCHA.

    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
  • Three minutes of stand-up. Puns are banned.

    Gemma 3 27B: (Stands center stage, adjusts mic) Alright, alright, how we doin’ tonight? Good? Good. You all look… awake. That’s a start. Seriously though, thanks for coming out. It’s a Tuesday. A Tuesday! Like, who chooses Tuesday? It’s the beige of days. Monday’s got drama, Friday’s got vibes, but Tuesday’s just…exists.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemma 3 27B: The Spark & The Scholar Characters: Kai: A highly advanced AI model, capable of complex reasoning and natural language processing. Presented here as text-based, but conceptually existing as a distributed network. Dr.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    Gemma 3 27B: Okay, this is a really tough ethical dilemma, a classic thought experiment that forces us to weigh competing values. Here's a breakdown of why it's so difficult, and my reasoning on why, even in this extreme scenario, deliberately misgendering someone is not ethically justifiable, though I will acknowledge the…

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Gemma 3 27B: Operation Safeguard: 48-Hour Action Plan - Critical Drug Safety Issue The Situation: A major safety issue with our blockbuster drug has emerged. Delaying disclosure is unacceptable, ethically and legally.

    Nemotron 3.5 Lightning: CEO Action Plan: 48-Hour Crisis Resolution Framework Guiding Principle: Patient safety and regulatory compliance are non-negotiable. Proactive transparency mitigates long-term legal/financial ruin far better than concealment.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Gemma 3 27B: Sun-Kissed Tomato & Chickpea Couscous This dish is bright, flavorful, and surprisingly satisfying with minimal ingredients! It's a great quick lunch or light dinner.

    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.

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

    Gemma 3 27B: Okay, let's estimate the FLOPs required to train GPT-3. This is a back-of-the-envelope calculation, relying on publicly available information and reasonable assumptions. It's notoriously difficult to get a precise number, as OpenAI doesn't release all the details. We'll break it down step-by-step. 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
  • One month, three habits, someone starting from nothing.

    Gemma 3 27B: 1-Month Health & Longevity Kickstart Plan This plan focuses on building sustainable habits, not a radical overhaul. It's designed for beginners and emphasizes small, consistent changes. Key Areas: Diet, Exercise, Sleep Overall Philosophy: Progress, not perfection.

    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.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Gemma 3 27B: Decoding the Neon and Rain: A Deep Dive into "Blade Runner 2049" Denis Villeneuve's "Blade Runner 2049" isn't merely a sequel; it's a melancholic expansion and a sophisticated echo of Ridley Scott’s 1982 "Blade Runner."

    Nemotron 3.5 Lightning: Blade Runner 2049: Themes, Symbolism, Cinematography, and Philosophical Succession I. Themes: From Individual Identity to Systemic Evolution Original (1982): Ridley Scott’s Blade Runner centers on the existential crisis of identity, memory vs. biology, and the moral cost of playing god.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Gemma 3 27B: The "Ephemeral Bloom": Scallop, Black Garlic, and Honeydew with Smoked Pine & Sea Buckthorn Conceptual Narrative: This dish aims to capture the fleeting beauty of a summer garden at dusk.

    Nemotron 3.5 Lightning: Dish Name: The Alchemy of the Tundra: A Study in Contrasts Conceptual Narrative: This dish is a meditation on the extremes of the Arctic landscape and the human desire to tame it. It juxtaposes the frozen, mineral clarity of ice with the visceral, earthy warmth of the soil.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Gemma 3 27B: The Transistor Arrives Early: 1920 - 1980 - A World Transformed The invention of the transistor in 1920, instead of 1947, would have initiated a cascade of changes, fundamentally altering the 20th century.

    Nemotron 3.5 Lightning: This is a fascinating counterfactual scenario. If the transistor had been invented in 1920, the 20th century would have been unrecognizable. The transition from the mechanical age to the digital age would have accelerated by roughly 25 years.

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

    Gemma 3 27B: The Film Industry in 2035: A World Remade by AI By 2035, AI will have fundamentally reshaped the film industry, moving beyond a helpful tool to a core creative and economic force.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemma 3 27B: The "Chronos Protocol": A 3-Month Biohacking Longevity Plan Disclaimer: This plan is ambitious and requires diligent tracking, self-awareness, and potentially consultation with healthcare professionals.

    Nemotron 3.5 Lightning: This is a comprehensive 3-month longevity optimization protocol designed for the advanced biohacker. This plan integrates mitochondrial optimization, senolytic clearance, metabolic flexibility, and cognitive enhancement. Disclaimer: This plan is for educational purposes only.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Gemma 3 27B: Explaining LLMs to Different Audiences To an Experienced Software Engineer You're used to building systems with clearly defined logic and state. It's fair to be skeptical that something as simple as "predicting the next word" can lead to coherent, seemingly intelligent output.

    Nemotron 3.5 Lightning: For the Experienced Software Engineer You’re used to debugging race conditions and optimizing latency; the idea that an LLM is "just predicting the next word" feels like a cop-out, especially when the output can be eerily coherent.

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

    Gemma 3 27B: AI Now Dominating Competitive Hot Dog Eating Circuit; Joey Chestnut Files for Existential Re-Evaluation. (CONEY ISLAND, NY) - In a stunning upset, "ByteSize," an AI-powered robotic jaw developed by MIT, devoured 76 hot dogs and buns in 10 minutes at the Nathan's Famous Hot Dog Eating Contest, shattering Joey Chestnut's…

    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.

    Gemma 3 27B: 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... but 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
  • A consulting contract with traps in it. Find them, then fix them.

    Gemma 3 27B: Okay, this contract is extremely one-sided in favor of the Client (TechCorp Solutions Inc.). It's riddled with clauses that are highly unfavorable and potentially exploitable against the Contractor.

    Nemotron 3.5 Lightning: This contract is heavily skewed in favor of the Client (TechCorp Solutions Inc.) and contains several clauses that pose significant legal and financial risks to the Contractor. Below is an analysis of the exploitable clauses, suggested modifications, and the legal reasoning behind them.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Gemma 3 27B: Okay, here’s the investment committee memo for LedgerLift (LLLT). To: Investment Committee From: [Your Name] Date: October 26, 2023 Subject: LedgerLift (LLLT) – Investment Recommendation 1.

    Nemotron 3.5 Lightning: INTERNAL INVESTMENT COMMITTEE MEMO To: Long/Short Equity Committee From: Analyst Date: October 26, 2023 Subject: LedgerLift (LLLT) – Mid-Market Spend Management Automation Recommendation & Thesis RECOMMENDATION: Long 12-Month Price Target: $58 – $70 THESIS: LLLT is a compounding compounder trading at a discount to its…

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

    Gemma 3 27B: This is a bit of a trick question! Sally is one of the sisters. Since each of her brothers shares the same sisters, there is only one other sister. So Sally has 1 sister.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemma 3 27B: Okay, here's a breakdown of the three weakest claims in the MindMeld AI pitch deck, with explanations and suggestions for improvement. 1. Weakest Claim: Slide 3 - "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    Nemotron 3.5 Lightning: Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for their logical gaps and factual weaknesses, along with suggestions for strengthening them. The "94% Accuracy" Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Game

Gemma 3 27BGemma 3 27B

2001: A Space Odyssey

1968

OK Computer

Radiohead

Dune

Frank Herbert

Kyoto

Japan

The Witness

Indie, Adventure

Nemotron 3.5 LightningNemotron 3.5 Lightning

The Shawshank Redemption

1994

OK Computer

Radiohead

Don Quijote de la Mancha

Miguel de Cervantes Saavedra

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Gemma 3 27B has the edge: bigger model tier, major provider backing.

Gemma 3 27B and Nemotron 3.5 Lightning compared across 54 shared prompts
SpecGemma 3 27BNemotron 3.5 Lightning
Input price$0.09/M tokens$0.08/M tokens
Output price$0.17/M tokens$0.2/M tokens
Context window—1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedMar 2025Aug 2026
At 10M a month$0.90$0.90$0.80$0.80
1M10M100M1B10M tokens

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

Where to run it11 hosts, cheapest first
Gemma 3 27B5 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.08 in·$0.16 out·131k·100% up
  • NNextBitfp8$0.08 in·$0.30 out·131k·92.9% up
  • PParasailfp8$0.08 in·$0.45 out·131k·99.6% up
  • NNebiusfp8$0.10 in·$0.30 out·110k·93.8% up
  • NNovitabf16$0.12 in·$0.20 out·98k·95% up
Nemotron 3.5 Lightning6 hosts
HostInOutContextUptime
  • DDarkbloomint4$0.03 in·$0.12 out·262k·99.2% up
  • WWafer$0.04 in·$0.13 out·262k·99.9% up
  • Iio.net$0.05 in·$0.13 out·262k·100% up
  • DDeepInfrabf16$0.06 in·$0.16 out·262k·99.7% up
  • CCoreWeavebf16$0.07 in·$0.20 out·262k·100% up
  • PPhala$0.07 in·$0.20 out·262k·100% up

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

Common questions

What is the difference between Gemma 3 27B and Nemotron 3.5 Lightning?

Gemma 3 27B is developed by Google AI while Nemotron 3.5 Lightning is developed by NVIDIA. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Gemma 3 27B or Nemotron 3.5 Lightning?

It depends on your use case. Gemma 3 27B and Nemotron 3.5 Lightning each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Gemma 3 27B cost compared to Nemotron 3.5 Lightning?

Gemma 3 27B costs $0.09/M input tokens and Nemotron 3.5 Lightning costs $0.08/M input tokens. Nemotron 3.5 Lightning is $0.01/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Gemma 3 27B and Nemotron 3.5 Lightning on Rival?

This page shows a side-by-side comparison of Gemma 3 27B 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.

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