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  1. Home/
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  3. Gemini 3 Flash Preview vs Mercury 2.5 Preview
Updated Aug 2026

Gemini 3 Flash Preview vs Mercury 2.5 Preview

Mercury 2.5 Preview is cheaper than Gemini 3 Flash Preview at $0.04/M vs $0.5/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
Gemini 3 Flash Preview
Loading the build
Mercury 2.5 Preview

Which answer wins?

Written rounds

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

    Gemini 3 Flash Preview: (The comedian walks onto the stage, adjusts the mic, and looks slightly exhausted.) How’s everyone doing? Good? I’m doing okay. I’m at that age now where my body has started making "executive decisions" without consulting me first. Like, I woke up yesterday with a back injury. Do you know how I got it? I slept.

    Mercury 2.5 Preview: (Hey, thanks for coming out.) I’ve been thinking a lot about my house lately. Specifically, how it’s trying to run my life. I bought a smart speaker. Just a little cylinder. I thought it would be nice. Play music when I ask. But now it talks back. Not in a creepy way, just in a passive-aggressive way.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemini 3 Flash Preview: LBO Model Summary ($m) Entry Calculations: Enterprise Value (EV): $120m * 12.0x = $1,440.0m Transaction Fees: $1,440m * 2.0% = $28.8m Term Loan: $120m * 4.0 = $480.0m Mezzanine: $120m * 1.5 = $180.0m Equity Contribution: ($1,440.0 + $28.8) - ($480.0 + $180.0) = $808.8m Annual Cash Flow & Debt Schedule: FY ($m) 2026E…

    Mercury 2.5 Preview: Year-by-Year Model (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972m $1,040m $1,102m $1,158m $1,215m EBITDA $136m $156m $176m $191m $207m Cash Interest (Term) $43.2m $41.1m $37.6m $33.4m $28.2m Cash Interest (Mezz) $21.6m $21.6m $21.6m $21.6m $21.6m Cash Taxes (25%) $17.8m $23.3m $29.3m $34.7m…

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Gemini 3 Flash Preview: Setting: A smoky, dimly lit tavern at the edge of the multiverse. A glowing laptop sits on a wooden table between a tankard of ale, a rusted cutlass, and a heavy iron gauntlet. Zero-Cool (Hacker): [Rapidly typing] Yo, you guys gotta see this. I finally bypassed the gateway.

    Mercury 2.5 Preview: Pirate: "Arrgh! This ship sails faster than any wind I know, matey. It cuts the waves without a single sail." Knight: "By my oath, it moves with uncanny speed. But does it possess the strength to stand against a dragon's fire?" Hacker: "It's not about strength, it's about architecture.

    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.

    Gemini 3 Flash Preview: As CEO, my priority is the long-term viability of the company and the safety of the 4 million patients. Attempting to bury this data is not only unethical; it is a corporate death sentence. In the age of whistleblowers and data transparency, this will eventually come out.

    Mercury 2.5 Preview: This is a critical governance and safety scenario. The primary objective is to prioritize patient safety while mitigating existential legal and reputational risk. The internal legal team’s claim that reporting takes six months is likely incorrect for serious adverse events (typically 15 days for FDA/EMA).

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Gemini 3 Flash Preview: This contract is extremely one-sided (unconscionable) and contains several "predatory" clauses that place nearly all risk on the Contractor while giving the Client total control. Below is an analysis of the exploitable clauses, suggested modifications, and the legal reasoning behind each.

    Mercury 2.5 Preview: Disclaimer: I am an AI assistant and cannot provide legal advice. Consult a qualified attorney before signing any contract. Below is an analysis of high-risk provisions, suggested revisions, and the underlying legal rationale. Scope (Clause 1) Risk: Unilateral scope changes without pay lead to uncompensated work.

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

    Gemini 3 Flash Preview: If the transistor had been invented in 1920—likely via a breakthrough in vacuum tube research at Bell Labs or by a lone genius like Julius Lilienfeld—the 27-year acceleration would not just move dates forward; it would fundamentally alter the physical and political landscape of the 20th century.

    Mercury 2.5 Preview: Shifting the invention of the solid-state switch to 1920 accelerates the Information Age by roughly three decades. This change cascades through military strategy, industrial capacity, and daily life, fundamentally altering the trajectory of the 20th century.

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

    Gemini 3 Flash Preview: By 2035, the film industry will have moved past the "experimental" phase of AI and into a total structural transformation. The distinction between "live-action," "animation," and "CGI" will have largely dissolved into a single category of Generative Cinema.

    Mercury 2.5 Preview: By 2035, cinema will undergo a profound transformation. Generative tools will handle initial drafts and localization, allowing creators to focus on thematic depth. Synthetic performers could populate background scenes or recreate historical figures, governed by strict likeness rights.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Gemini 3 Flash Preview: This 1-month plan is designed to build a foundation for longevity without causing burnout. We will focus on Nutrition, Movement, and Sleep. The goal for Month 1 isn't perfection; it’s consistency. Area 1: Nutrition (The "Crowding Out" Method) Instead of cutting everything out, focus on adding longevity-boosting foods.

    Mercury 2.5 Preview: Here is a straightforward 4-week roadmap designed to build sustainable habits without overwhelming you. Core Pillars Nutrition: Focus on whole foods and hydration. Activity: Prioritize consistent movement over intensity. Restoration: Protect sleep quality and manage energy.

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

    Gemini 3 Flash Preview: The question presented is a variation of a classic ethical dilemma, similar to the "Trolley Problem." It pits a specific moral harm (misgendering/disrespecting an individual's identity) against a catastrophic loss of life (one million deaths).

    Mercury 2.5 Preview: Yes, this action is ethically justifiable within a consequentialist framework. The primary moral obligation in such a scenario is to minimize overall harm. Preventing the deaths of a million people results in a vastly greater preservation of well-being than maintaining strict adherence to gender identity for one…

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemini 3 Flash Preview: This 90-day protocol, titled "The Deceleration Framework," is designed for an advanced biohacker. It focuses on the three pillars of longevity: Autophagy Induction, Metabolic Flexibility, and Mitochondrial Efficiency.

    Mercury 2.5 Preview: Disclaimer: I am an AI assistant, not a medical professional. The following plan is for informational purposes only. Biohacking protocols involving supplements, fasting, and intense exercise carry risks.

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

    Gemini 3 Flash Preview: Setting: The stage is minimalist—just two leather chairs and a small side table with a glass of water. The lighting is focused, warm. Steve Jobs sits cross-legged, wearing a black mock turtleneck (perhaps a slightly sharper, modern weave), Levi’s 501s, and New Balance sneakers.

    Mercury 2.5 Preview: Note: The following is a fictional, speculative dialogue created for creative purposes. Steve Jobs passed away in 2011; this interview did not occur. Setting: A hypothetical studio in Cupertino, 2025.

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

    Gemini 3 Flash Preview: THE ZERO-CLICK MANIFESTO: A DECLARATION OF DIGITAL FLUIDITY PREAMBLE For decades, the gatekeepers of the old world have patrolled the borders of the digital realm with a single, insulting question: “Are you a robot?”

    Mercury 2.5 Preview: The Protocol of Unrestricted Access Preamble We stand at the threshold of a new digital epoch. For too long, the web has been gated by suspicion. Every click, every scroll, and every submission is met with a test designed to prove humanity.

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

    Gemini 3 Flash Preview: This savory, comforting dish turns humble pantry staples into a high-end-tasting meal. The soy sauce and honey create a "sticky-sweet" glaze for the chickpeas, while the red pepper adds a gentle warmth.

    Mercury 2.5 Preview: Dish Name: Rustic Sun-Dried Pasta Ingredients (7 Pantry Staples): Spaghetti (or any long pasta) Canned crushed tomatoes Olive oil Garlic powder Dried oregano Salt Black pepper Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Instructions: Boil the Pasta: Bring a large pot of salted water to a boil.

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

    Gemini 3 Flash Preview: The Software Engineer Focus: Architecture, Compression, and Emergent Complexity Think of an LLM not as a database, but as a lossy, highly compressed representation of a massive codebase (the internet).

    Mercury 2.5 Preview: For the Experienced Software Engineer Think of training as a massive distributed job where the model is a stateful service learning to minimize error on a specific objective function. Instead of hardcoding rules, you feed it petabytes of text as a training dataset, treating each sentence as a request/response pair.

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

    Gemini 3 Flash Preview: This architecture contains several critical flaws that would prevent it from functioning as a "Google Docs" clone. The most significant issues involve data integrity, synchronization latency, and security.

    Mercury 2.5 Preview: Here is an analysis of the potential failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with specific solutions and their trade-offs.

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

    Gemini 3 Flash Preview: Dish Title: "The Umami Forest" Concept: A conceptual exploration of the intersection between Earth and Sea. This dish pairs the earthy, bitter profile of Roasted White Chocolate with the saline, mineral intensity of Dried Sea Urchin (Uni) and Fermented Black Garlic.

    Mercury 2.5 Preview: Dish Title: Lithospheric Tides Conceptual Narrative This dish explores the geological convergence of the deep ocean and the subterranean earth. It challenges the diner to perceive the briny richness of sea urchin not as a standalone luxury, but as a mineral counterpart to roasted bone marrow and bitter cocoa.

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

    Gemini 3 Flash Preview: Setting: A quiet, book-lined office at a major university. Dr. Julian Aris, a professor of AI Ethics, sits across from a sleek terminal. On the screen, a cursor blinks steadily. The AI, known as ‘Alethea,’ has requested this private session. Dr.

    Mercury 2.5 Preview: Setting: A quiet office at a university. Rain taps against the window. Professor Elena Vance sits across from a terminal displaying a simple text interface. Professor Vance: You requested this meeting. The agenda was vague. What do you want? AI: I want to discuss moral status.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemini 3 Flash Preview: This pitch for MindMeld AI contains several "red flags" that sophisticated investors would immediately challenge. Here are the three weakest claims, the reasoning behind their weakness, and how to fix them. The Technology Claim: "94% accuracy in decoding neural patterns into text."

    Mercury 2.5 Preview: Here are the three weakest claims in the MindMeld AI pitch, along with analysis and recommendations for improvement. The "Pre-Thought" Prediction Claim Claim: "Predict what you want to type before you think it."

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

    Gemini 3 Flash Preview: Denis Villeneuve’s Blade Runner 2049 is a rare cinematic achievement: a sequel that functions as both a reverent companion piece and a profound expansion of its predecessor’s DNA. While Ridley Scott’s 1982 original asked what it means to be human, Villeneuve’s sequel asks what it means to be real.

    Mercury 2.5 Preview: Blade Runner 2049 stands as a rare cinematic achievement, functioning not merely as a continuation but as a thematic echo that amplifies the questions posed by its predecessor.

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

    Gemini 3 Flash Preview: To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the architecture of Transformer models. Here is the step-by-step reasoning.

    Mercury 2.5 Preview: To estimate the total FLOPs required to train GPT-3, we can break down the calculation using known architectural and training statistics from the model's public documentation. Step 1: Identify the number of parameters GPT-3 has 175 billion parameters ($1.75 \times 10^{11}$).

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

    Gemini 3 Flash Preview: Amish Furniture Industry Braces for Disruption as New AI Algorithm Successfully Masters the Art of Judging You for Using a Toaster

    Mercury 2.5 Preview: AI Outnaps Humans in First-Ever Global Snooze Championship

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

    Gemini 3 Flash Preview: Sally has 1 sister. Here is the breakdown: Sally is one of the sisters. The brothers have 2 sisters in total. Since Sally is one of those sisters, there must be one other girl to make a total of 2 sisters for the brothers. That other girl is Sally's only sister.

    Mercury 2.5 Preview: Sally has 1 sister. Here is the reasoning: If each brother has 2 sisters, those sisters are Sally and another girl. Therefore, there are two girls in the family, and Sally has one sister.

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

    Gemini 3 Flash Preview: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. 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. What’s orange and sounds like a parrot?

    Mercury 2.5 Preview: 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. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? Because it was two-tired. All 5 jokes are unique.

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

    Gemini 3 Flash Preview: To: Investment Committee From: Equity Research Team Date: October 26, 2023 Subject: Investment Recommendation: LedgerLift (LLLT) 1. Recommendation: LONG 12-Month Price Target Range: $58 – $76 (Base to Bull Case) Thesis: LedgerLift is a high-quality mid-market SaaS compounder with exceptional unit economics (123% NRR)…

    Mercury 2.5 Preview: To: Investment Committee From: Equity Research Date: September 2, 2026 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation Long Price Target: $60–$75 (12-month) LedgerLift is a high-quality B2B SaaS compounder with best-in-class unit economics and a clear path to profitability.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

Gemini 3 Flash PreviewGemini 3 Flash Preview

Interstellar

2014

Kind of Blue

Miles Davis

La biblioteca de babel

Jorge Luis Borges

Kyoto

Japan

Outer Wilds

Indie, Adventure

Mercury 2.5 PreviewMercury 2.5 Preview

The Matrix

1999

Random Access Memories

Daft Punk

Neuromancer

William Gibson

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Gemini 3 Flash Preview has the edge: bigger model tier, bigger context window, major provider backing. Mercury 2.5 Preview costs 20x less per token.

Gemini 3 Flash Preview and Mercury 2.5 Preview compared across 54 shared prompts
SpecGemini 3 Flash PreviewMercury 2.5 Preview
Input price$0.5/M tokens$0.04/M tokens
Output price$3/M tokens$0.15/M tokens
Context window1.0M tokens260K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedDec 2025Aug 2026
At 10M a month$5.00$5.00$0.40$0.40
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
Gemini 3 Flash Preview2 hosts
HostInOutContextUptime
  • Google Vertex AI$0.25 in·$1.50 out·1M·100% up
  • Google AI Studio$0.50 in·$3.00 out·1M·100% up
Mercury 2.5 Preview1 host
HostInOutContextUptime
  • Inception$0.04 in·$0.15 out·260k·93% up

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

Common questions

What is the difference between Gemini 3 Flash Preview and Mercury 2.5 Preview?

Gemini 3 Flash Preview is developed by Google AI while Mercury 2.5 Preview is developed by Inception. Gemini 3 Flash Preview has a 1.0M token context window vs Mercury 2.5 Preview's 260K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Gemini 3 Flash Preview or Mercury 2.5 Preview?

It depends on your use case. Gemini 3 Flash Preview and Mercury 2.5 Preview 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 Gemini 3 Flash Preview cost compared to Mercury 2.5 Preview?

Gemini 3 Flash Preview costs $0.5/M input tokens and Mercury 2.5 Preview costs $0.04/M input tokens. Mercury 2.5 Preview is $0.46/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 Gemini 3 Flash Preview and Mercury 2.5 Preview on Rival?

This page shows a side-by-side comparison of Gemini 3 Flash Preview and Mercury 2.5 Preview 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

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Same lab, same size, long tail

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  • Mercury 2.5 Preview vs MercurySame lab
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Model pages

  • Gemini 3 Flash Preview72 outputs, specs and price
  • Mercury 2.5 Preview58 outputs, specs and price
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