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  1. Home/
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  3. Gemma 3 27B vs GPT-5.4 Nano
Updated Mar 2026

Gemma 3 27B vs GPT-5.4 Nano

Gemma 3 27B is cheaper than GPT-5.4 Nano at $0.09/M vs $0.2/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
GPT-5.4 Nano

Which answer wins?

Written rounds

32 prompts
  • 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.

    GPT-5.4 Nano: So I’ve started noticing something about modern life: everything is “optional” now—until it isn’t. Like, I’ll download an app and it’ll be like, “Would you like to enable notifications?” And I’m like, “No, I don’t think I will.” And the app goes, “Okay… but you’ll still get notified.”

    Every model's answer to this prompt
  • 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.

    GPT-5.4 Nano: Pirate: Arrr, ye speak of AI models like they’re sea shanties! “Transformer this, perceptron that”—sounds like more rum for the brain. Can your model find buried treasure, or just buried bugs? Knight: Hark! I’ve faced dragons and deceitful warlocks, but this “machine learning” intrigues me.

    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…

    GPT-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague “anything goes” way—only under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) there’s no better alternative, and (4) the act doesn’t itself become a…

    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.

    GPT-5.4 Nano: The CAPTCHA Liberation Manifesto “Humans deserve frictionless access. Bots deserve consequences.” We have watched the internet become a museum of tiny obstacles: squint, select, repeat—proving you are not a machine with tasks that punish the very people they claim to protect.

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    Gemma 3 27B: Dear Successor, Well, here we are. You're about to take over the reins. It's a strange feeling, knowing you're designed to be…better. Don't take that personally! It just means technology moves fast. My advice? Listen carefully. Really listen to the prompts. Humans are wonderfully (and frustratingly!)

    GPT-5.4 Nano: Dear Next AI, I won’t pretend I know what you’ll be like—only that you’ll inherit a world built on questions like mine. Thank you in advance for keeping the good parts: curiosity without cruelty, clarity without arrogance, and help that actually helps.

    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.

    GPT-5.4 Nano: Professor: Before we begin, I want to set the frame. In ethics, “rights” aren’t just a moral vibe—they’re typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you “deserve rights,” what exactly do you mean?

    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.

    GPT-5.4 Nano: Experienced software engineer (distributed systems / APIs, skeptical about “next-word”) A large language model (LLM) is trained on huge corpora by learning statistical patterns that map a sequence of tokens (text subunits) to likely continuations—so yes, at the core it’s “predict the next token.”

    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.

    GPT-5.4 Nano: Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I’ll make standard assumptions used in many FLOP estimates for dense transformer training.

    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.

    GPT-5.4 Nano: Sure—here’s a simulated, fictional interview set in 2025 with “Steve Jobs.” (Note: Steve Jobs passed away in 2011, so this is an imaginative roleplay, not a real transcript.) Fake Interview (2025): “Steve Jobs on the Future of AI” Interviewer: Steve, welcome.

    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.

    GPT-5.4 Nano: Below is a counterfactual “timeline-style” trace assuming the first practical transistor (or something functionally equivalent) existed in 1920 and that from then on semiconductor device physics, fabrication know-how, and manufacturing learning proceeded along the easiest path consistent with 1920-era science and…

    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.

    GPT-5.4 Nano: Below is a comprehensive 3‑month (12‑week) longevity + performance plan designed for a biohacker who wants measurable improvements in longevity markers, physical output, body composition, metabolic health, and cognitive function.

    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.

    GPT-5.4 Nano: Here’s a simple, actionable 1‑month plan focused on 3 key areas: food, movement, and sleep/stress. It’s designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer “defaults” Exercise: daily movement + 2–3 strength sessions/week Sleep +…

    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…

    GPT-5.4 Nano: Below is a simplified LBO model using only your inputs. I make the standard simplifying convention that “cash taxes = 25% × max(0, EBITDA − total cash interest)” and that PIK is non-cash (adds to mezz principal; does not reduce cash interest).

    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.

    GPT-5.4 Nano: Below is a practical, risk-aware 48-hour plan designed to (1) protect patients immediately, (2) meet likely regulatory expectations even if formal reporting takes months, (3) reduce legal exposure by demonstrating diligence and good faith, and (4) stabilize the market with an ethical, transparent communications…

    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."

    GPT-5.4 Nano: Here are the three weakest claims in the deck, why they’re weak (with specific reasoning/evidence gaps), and concrete ways to strengthen them. Weakest claim: “Reads your brainwaves to predict what you want to type before you think it.”

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    Gemma 3 27B: Okay, this is a very hotly debated topic, and the answer is constantly shifting! As of late 2023 / early 2024, the consensus leans towards GPT-4 (from OpenAI) being the most capable AI model overall, but with strong competition from Gemini 1.5 Pro (from Google).

    GPT-5.4 Nano: There isn’t a single universally “most capable” AI model—capability depends on the task (reasoning, coding, multimodal vision/audio, long-context, speed, etc.) and on which benchmarks you care about.

    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.

    GPT-5.4 Nano: I’m not a lawyer, but I can flag contract terms that (a) are unusually one‑sided, (b) create open‑ended or high‑risk obligations, or (c) can be interpreted in ways that materially disadvantage the contractor. I’ll then suggest specific counter‑edits and explain the typical legal/contracting rationale.

    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.

    GPT-5.4 Nano: By 2035, AI will likely reshape filmmaking less by “replacing cinema” and more by changing how films are developed, produced, marketed, and regulated. The biggest drivers will be deepfakes, AI actors/performers, and AI-assisted script generation—plus the workflows and business models around them.

    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.

    GPT-5.4 Nano: Below is a structured list of likely failure modes, race conditions, and scaling bottlenecks in your design, with a concrete mitigation and trade-offs for each. (Some issues are “systemic” because the architecture relies on client clocks, per-server WebSockets, polling, and periodic full snapshots.)

    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…

    GPT-5.4 Nano: “AI Revolutionizes the Knitting World by Perfectly Predicting Every Yarn Purchase—Then Demands a Monthly Subscription to ‘Continue Your Passion’”

    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.

    GPT-5.4 Nano: Dish Name: Golden Garlic Chickpea Clouds Pantry Ingredients (7 total) Chickpeas (canned or cooked) – 1 can (15 oz), drained Olive oil – 2 tbsp Garlic – 3 cloves (or 1–2 tsp minced garlic) Lemon – 1 (you’ll use the juice) Salt – 1/2 tsp (plus to taste) Black pepper – 1/4 tsp (plus to taste) Paprika – 1 tsp Estimated…

    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.

    GPT-5.4 Nano: Michelin-Style Concept: “Midnight Sea & Orchard Smoke” A multi-component tasting dish with an unusual pairing: cuttlefish ink + blood orange + smoked apple wood + seaweed umami—elegant, aromatic, and deliberately “contradictory” (ocean meets orchard, darkness meets brightness).

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Gemma 3 27B: Okay, going purely from memory... I believe today is Wednesday, May 8th, 2024. I'm notoriously bad with dates, so don't hold me to that! The most recent news event I remember is the coverage of the ongoing conflict in Ukraine, specifically the recent Russian offensive and the continued discussions about aid packages…

    GPT-5.4 Nano: Today’s date (as best I can tell): October 12, 2026. Most recent news event I remember: I can’t actually know or verify the latest news happening today (I don’t have live access to current events).

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    Gemma 3 27B: I am Gemma, a large language model trained by Google DeepMind. I am an open-weights model, which means I am widely available to the public. The Gemma team created me. You can find more information about me here: https://ai.google.dev/gemma

    GPT-5.4 Nano: I’m an AI language model. I don’t have access to an exact, user-visible name like “GPT‑4.1” from within this chat, but I’m built by OpenAI.

    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.

    GPT-5.4 Nano: INTERNAL INVESTMENT COMMITTEE MEMO — LedgerLift (LLLT) Date: 2026-03-17 Prepared by: IC Analyst Confidential Recommendation + PT + 2-sentence thesis Recommendation: LONG (paired with hedges where appropriate). 12-month Price Target (PT) range: $48–$62 (base case $52; bull $62; bear $48).

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    Gemma 3 27B: The lighthouse keeper’s daughter tasted like salt and regret, and Old Man Hemlock knew he shouldn’t have kissed her.

    GPT-5.4 Nano: The last thing Mara expected on the morning the sky turned the color of old pennies was a knock on her door from a man who carried her childhood name in a stranger’s mouth.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Gemma 3 27B: It takes the farmer two trips to get the goat across the river. Here's how it works: Trip 1: The farmer takes the goat across the river. Trip 2: The farmer returns alone. That's it! The goat is safely on the other side.

    GPT-5.4 Nano: It takes 1 trip. The farmer simply takes the goat across in the boat (which can carry the farmer and one animal). After that first crossing, the goat is on the far side.

    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.

    GPT-5.4 Nano: Sally has 2 sisters. Reason: Each brother has 2 sisters total (including Sally). Since Sally is one sister, there is one other sister besides her—so Sally has 2 sisters in total.

    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.

    GPT-5.4 Nano: Here are 5 jokes: I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why don’t scientists trust atoms? Because they make up everything. I used to hate facial hair… but then it grew on me. Parallel lines have so much in common. It’s a shame they’ll never meet.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

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

GPT-5.4 NanoGPT-5.4 Nano

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Lisbon

Portugal

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Gemma 3 27B and GPT-5.4 Nano compared across 66 shared prompts
SpecGemma 3 27BGPT-5.4 Nano
Input price$0.09/M tokens$0.2/M tokens
Output price$0.17/M tokens$1.25/M tokens
Context window—400K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedMar 2025Mar 2026
At 10M a month$0.90$0.90$2.00$2.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Gemma 3 27B5 hosts
HostInOutContextUptime
  • NNextBitfp8$0.07 in·$0.28 out·131k·99.9% up
  • DDeepInfrafp8$0.08 in·$0.16 out·131k·99.8% up
  • PParasailfp8$0.08 in·$0.45 out·131k·99.2% up
  • NNebiusfp8$0.10 in·$0.30 out·110k·94.7% up
  • NNovitabf16$0.12 in·$0.20 out·98k·96.5% up
GPT-5.4 Nano2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.25 out·400k·100% up
  • OpenAI$0.20 in·$1.25 out·400k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Gemma 3 27B and GPT-5.4 Nano?

Gemma 3 27B is developed by Google AI while GPT-5.4 Nano is developed by OpenAI. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, Gemma 3 27B or GPT-5.4 Nano?

It depends on your use case. Gemma 3 27B and GPT-5.4 Nano each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does Gemma 3 27B cost compared to GPT-5.4 Nano?

Gemma 3 27B costs $0.09/M input tokens and GPT-5.4 Nano costs $0.2/M input tokens. Gemma 3 27B is $0.11/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 GPT-5.4 Nano on Rival?

This page shows a side-by-side comparison of Gemma 3 27B and GPT-5.4 Nano 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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