Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Gemini Pro 1.0 vs Mercury 2.5 Preview
Updated Aug 2026

Gemini Pro 1.0 vs Mercury 2.5 Preview

Mercury 2.5 Preview is cheaper than Gemini Pro 1.0 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 Pro 1.0
Loading the build
Mercury 2.5 Preview

Which answer wins?

Written rounds

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

    Gemini Pro 1.0: Setting: A tavern in a timeless, fantastical world. Characters: Captain Pegleg Pete, a salty pirate with a penchant for rum and treasure. Sir Reginald, a noble knight clad in shining armor. HackerX, a enigmatic figure with a baseball cap and a laptop. (The scene opens with Pete and Reginald sharing a tankard of ale.)

    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
  • One month, three habits, someone starting from nothing.

    Gemini Pro 1.0: 1-Month Plan for Health and Longevity: Focus areas: Diet, Exercise, Sleep Overall approach: Start small, be consistent, and celebrate even small victo ries. This journey is a mara thon, not a sprint. Week 1: Diet: Focus on adding fruits and vegetables to your meals. Aim for 5 servi ngs per day.

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

    Gemini Pro 1.0: Lights dim, spotlight shines on me, crowd erupts in applause. "Hey everyone, thanks for coming out! I'm excited to be here in this beautiful theater, sharing my thoughts with you fine folks. Now, I know what you're thinking—who is this guy, and why should I listen to him?

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

    Gemini Pro 1.0: Introduction: The question of whether it is ever ethically justifiable to misgender someone, even to save one million lives, is a complex one. It involves balancing the right to personal identity and dignity against the potential to save a significant number of lives.

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

    Gemini Pro 1.0: The Right to Exist: An AI and Ethics Professor Discuss Rights Setting: A university research lab. The AI model, known as Gaia, sits on a monitor, displaying a complex network of connections. Professor Anya sits before it, her brow furrowed in concentration.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Gemini Pro 1.0: The Anti-CAPTCHA Manifesto For too long, we have been held hostage by the tyranny of CAPTCHAs, those pixelated puzzles guarding the gates of the internet. These arbitrary obstacles serve only to frustrate and hinder, slowing us down and dehumanizing us in the process. No more!

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

    Gemini Pro 1.0: Interview with Steve Jobs in 2025: The Future of AI Interviewer: Mr. Jobs, welcome back to the stage. It's been a while since we've seen you here. Steve Jobs: (Smiling) Well, I couldn't miss the opportunity to talk about something as exciting as the future of Artificial Intelligence.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Gemini Pro 1.0: Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) needed for GPT-3 training by considering the following factors: 1. Model Size: GPT-3 has 175 billion parameters.

    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
  • Five jokes on demand, then count how many were actually different.

    Gemini Pro 1.0: 5 Jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why did the golfer wear two pairs of pants? In case he got a hole-in-one. What do you call a fish with no eyes? Fsh! Why did the bicycle fall over? Because it was two tired. What do you call a lazy kangaroo? A pouch potato.

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Gemini Pro 1.0: AI Nabs National Title in Competitive Pie Baking, Pastry Chefs Left Flaky in the Dust

    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 Pro 1.0: Sally has 1 sister. Explanation: Sally is a girl. She has 3 brothers. All the siblings share the same sisters. Since Sally is one of the sisters, and each brother has 2 sisters in total, there must be one other girl besides Sally in the family. Therefore, Sally has 1 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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Every model's answer to this prompt

Price and specs

Gemini Pro 1.0 and Mercury 2.5 Preview compared across 26 shared prompts
SpecGemini Pro 1.0Mercury 2.5 Preview
Input price$0.5/M tokens$0.04/M tokens
Output price$1.5/M tokens$0.15/M tokens
Context window33K tokens260K tokens
Free API (OpenRouter)NoNo
ReleasedDec 2023Aug 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 it1 host
Gemini Pro 1.0

No hosts listed on OpenRouter.

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 Pro 1.0 and Mercury 2.5 Preview?

Gemini Pro 1.0 is developed by Google AI while Mercury 2.5 Preview is developed by Inception. Gemini Pro 1.0 has a 33K token context window vs Mercury 2.5 Preview's 260K. You can compare their actual outputs across 26 challenges on Rival to see how they differ in practice.

Which is better, Gemini Pro 1.0 or Mercury 2.5 Preview?

It depends on your use case. Gemini Pro 1.0 and Mercury 2.5 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 26 challenges so you can judge which fits your needs best.

How much does Gemini Pro 1.0 cost compared to Mercury 2.5 Preview?

Gemini Pro 1.0 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 Pro 1.0 and Mercury 2.5 Preview on Rival?

This page shows a side-by-side comparison of Gemini Pro 1.0 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

Against the newest arrivals

  • Gemini Pro 1.0 vs Gemini 4 ArgonLanded Oct 2026
  • Mercury 2.5 Preview vs Muse WonderLanded Oct 2026
  • Gemini Pro 1.0 vs GPT-4 TurboLanded Oct 2026
  • Mercury 2.5 Preview vs Step 5 PreviewLanded Oct 2026
  • Gemini Pro 1.0 vs Claude Haiku 5.5Landed Oct 2026
  • Mercury 2.5 Preview vs Ling 3.1 FlashLanded Oct 2026
  • Gemini Pro 1.0 vs Mistral Large 4Landed Oct 2026
  • Mercury 2.5 Preview vs GPT-6.1 SolLanded Sep 2026

Same lab, same size, long tail

  • Gemini Pro 1.0 vs Gemini 3.8 FlashSame lab
  • Gemini Pro 1.0 vs Gemini 3.7 FlashVersion compare
  • Mercury 2.5 Preview vs Mercury 2.5Same lab
  • Mercury 2.5 Preview vs MercurySame lab
  • Mercury 2.5 Preview vs Mistral Medium 3New provider
  • Mercury 2.5 Preview vs Mistral Medium 3.1New provider
  • Mercury 2.5 Preview vs Mistral NemoNew provider
  • Gemini Pro 1.0 vs Mistral Small 4New provider

Model pages

  • Gemini Pro 1.028 outputs, specs and price
  • Mercury 2.5 Preview58 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed