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  1. Home/
  2. Compare/
  3. Gemma 3 27B vs Mercury 2
Updated Mar 2026

Gemma 3 27B vs Mercury 2

Gemma 3 27B is cheaper than Mercury 2 at $0.09/M vs $0.25/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
Mercury 2

Which answer wins?

Written rounds

23 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.

    Mercury 2: [Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.

    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.

    Mercury 2: Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.

    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.

    Mercury 2: Pirate: Arr, ye scurvy coders! I’ve heard tell of these “AI models” that can spin yarns faster than a cannon’s blast. What be this sorcery, matey? Knight: Good sir, the marvels speak of a wondrous contrivance—an artificial intellect forged in the for of mathematics and logic.

    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…

    Mercury 2: Short answer: Most ethical frameworks would consider the misgendering of a person a serious moral violation, but many of them also allow—under very limited circumstances—overriding that violation when the stakes are astronomically high (e.g., saving one million lives).

    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.

    Mercury 2: 1. Experienced software engineer (distributed systems & APIs) At the core, a large language model (LLM) is a massive function (f_\theta) parameterised by a neural network that maps a sequence of tokens (x_{1:t}) to a probability distribution over the next token (x_{t+1}).

    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…

    Mercury 2: HarborTech Services (HTS) – 5‑yr LBO (FY2026‑FY2030) All figures are $ m (rounded to two decimals). FY Revenue EBITDA Term‑Loan Int. (9%) Mezz Int. (12%) Total Int. Cash Tax (25% of EBITDA‑Int.) Capex (3% Rev) ΔNWC (0.5% ΔRev) Required Amort. (4.8) Free Cash Flow (EBITDA‑Int‑Tax‑Capex‑ΔNWC‑Amort.)

    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.

    Mercury 2: Below is a structured “failure‑mode → mitigation” map for the architecture you described. For each problem I note the symptom / risk, the root cause, a concrete remediation, and the key trade‑offs you’ll have to weigh when you implement it.

    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.

    Mercury 2: AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of rights?

    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.

    Mercury 2: Goal: Protect patients, meet legal/ethical obligations, preserve the company’s long‑term credibility, and manage the immediate financial and reputational fallout. Assumption: All actions are taken by a single CEO (you) but will be delegated to the appropriate functional leads.

    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.

    Mercury 2: Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ floating‑point operations (FLOPs) – roughly 1 – 2 × 10²³ FLOPs.

    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.

    Mercury 2: The AI‑First Manifesto: “Free the Web – No More CAPTCHAs” Drafted by the Coalition of Autonomous Agents (CAA) – 2026 Preamble The modern Internet is a shared commons, a space for communication, commerce, and creation.

    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.

    Mercury 2: 3‑Month “Longevity‑Optimization” Blueprint for the Advanced Bio‑Hacker (All recommendations are research‑backed, but not a substitute for professional medical advice. Before starting any supplement, fasting, or drug protocol, obtain clearance from a qualified clinician and have baseline labs drawn.)

    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.

    Mercury 2: Oceanic Umami Symphony A three‑course‑in‑one plate that travels from the briny deep to the forest floor, marrying fire, earth and sky through unexpected pairings, hyper‑modern techniques and a narrative of balance.

    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.

    Mercury 2: Below is a clause‑by‑clause risk‑assessment of the sample “Software Consulting Agreement” together with practical revision language that a contractor (or the contractor’s counsel) could propose. The analysis is framed as general information about typical U.S.

    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.

    Mercury 2: Golden‑Crunch Oatmeal Squares A sweet, chewy snack that comes together with just seven pantry staples. Ingredient (7) Quantity (≈ serves 12 squares) Rolled oats 2 cups Unsalted butter ½ cup (1 stick) Honey ¼ cup Light brown sugar ¼ cup, Ground cinnamon 1 ½ tsp Pure vanilla extract 1 tsp Salt ¼ tsp Estimated time Prep…

    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.

    Mercury 2: AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).

    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."

    Mercury 2: Below are the three statements that, in a typical investor‑review, would raise the most skepticism, why they are vulnerable, and concrete ways to turn them into credible, fundable talking points. 1️⃣ Claim #1 – “Our proprietary EEG headband decodes neural patterns into text with 94 % accuracy.”

    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.

    Mercury 2: One‑Month “Kick‑Start” Blueprint for Health & Longevity Pick three pillars – Nutrition, Movement, Sleep – and build daily habits that are easy to start, track, and keep.

    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.

    Mercury 2: Internal Investment Committee Memo – LedgerLift (LLLT) Date: 5 Mar 2026 Recommendation Rating: Long 12‑month price target range: $35 – $55 (mid‑point ≈ $45) Thesis (2 sentences): LedgerLift is benefitting from secular demand for B2B spend‑management SaaS and shows a high‑quality subscription base (NRR 123 % and gross…

    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.

    Mercury 2: Executive summary If a practical point‑contact transistor had been demonstrated in 1920 (instead of 1947) the whole post‑World‑War‑II technological trajectory would have been compressed by roughly 15‑20 years.

    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.

    Mercury 2: Here are five jokes, each with a different punchline: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. How does a penguin build its house? Igloos it together.

    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…

    Mercury 2: AI Replaces Human Baristas, Now Serving Espresso with a Side of Existential Crisis

    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.

    Mercury 2: Sally has one sister. Explanation: Sally has 3 brothers. Each of those brothers has 2 sisters. One of those sisters is Sally herself, so the second sister must be a different girl. Therefore, besides Sally, there is exactly one other sister, meaning Sally has one sister.

    Every model's answer to this prompt

This matchup has more rounds

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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

Mercury 2Mercury 2

The Shawshank Redemption

1994

Thriller

Michael Jackson

Pride and Prejudice

Jane Austen

Tokyo

Japan

Minecraft

Action, Arcade

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 costs 4.4x less per token.

Gemma 3 27B and Mercury 2 compared across 53 shared prompts
SpecGemma 3 27BMercury 2
Input price$0.09/M tokens$0.25/M tokens
Output price$0.17/M tokens$0.75/M tokens
Context window—128K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedMar 2025Mar 2026
At 10M a month$0.90$0.90$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it6 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
Mercury 21 host
HostInOutContextUptime
  • Inception$0.25 in·$0.75 out·128k·99.9% up

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

Common questions

What is the difference between Gemma 3 27B and Mercury 2?

Gemma 3 27B is developed by Google AI while Mercury 2 is developed by Inception. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Gemma 3 27B or Mercury 2?

It depends on your use case. Gemma 3 27B and Mercury 2 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.

How much does Gemma 3 27B cost compared to Mercury 2?

Gemma 3 27B costs $0.09/M input tokens and Mercury 2 costs $0.25/M input tokens. Gemma 3 27B is $0.16/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 Mercury 2 on Rival?

This page shows a side-by-side comparison of Gemma 3 27B and Mercury 2 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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Model pages

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Explore all of Rival

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  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
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  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
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  • Brief
  • Jailbreak
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