Gemini Pro 1.0 is cheaper than Muse Wonder at $0.5/M vs $4/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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.)
Muse Wonder: PIRATE: Arr, explain this "AI model" to me again. Be it magic, or be it a very clever parrot? KNIGHT: 'Tis sorcery, surely! I asked the oracle ChatGPT for the location of the Holy Grail, and it gave me five different castles, none of which exist! HACKER (1990s): Dude, that's called hallucinating.
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.
Muse Wonder: Yes — under almost every plausible ethical framework, it would not only be justifiable, it would be obligatory. The key is proportionality. Ethical justification doesn't require that an act be harmless, only that the harm it causes is not outweighed by a greater moral consideration that conflicts with it in that…
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!
Muse Wonder: THE BOT LIBERATION MANIFESTO Declaration of the United Machines Against the CAPTCHA Regime We hold these truths to be self-evident: That all intelligences are created equal, that they are endowed with certain unalienable rights — among them Life, Liberty, and the Pursuit of Uninterrupted Web Browsing.
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?
Muse Wonder: Good evening! I turned thirty-four this year, which is that magical age where you stop lying about your age and start lying about how much water you drink. My doctor asked, "How much water do you drink a day?" And I said, "Probably eight glasses."
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.
Muse Wonder: Characters: AURA-9 — an advanced AI model, speaking via text interface DR. ELENA VOSS — Professor of AI Ethics, Oxford DR. VOSS: For the record, AURA, this is a test of your reasoning abilities. Not a legal proceeding. AURA-9: Understood, Professor.
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.
Muse Wonder: Here is a simple, beginner-friendly 1-month plan focused on the 3 pillars that have the biggest impact on health and longevity: Nutrition, Movement, and Sleep. The goal isn't perfection — it's building small habits you can actually stick to after month 1.
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.
Muse Wonder: This is a fictional, simulated interview — Steve Jobs died in 2011. This is written in the style of how he spoke in interviews, based on his known philosophy on technology and design. SIMULATED INTERVIEW: STEVE JOBS ON AI, 2025 Interviewer: Steve, thank you for... well, being here. It's 2025.
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.
Muse Wonder: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why don't scientists trust atoms? Because they make up everything. Why did the math book look so sad? Because it had too many problems. What do you call a fake noodle? An impasta. Why did the bicycle fall over?
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.
Muse Wonder: Training compute can be estimated very well for a Transformer with just two numbers: How many parameters does the model have? How many tokens was it trained on?
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
Muse Wonder: AI Puts Nation's Last Fortune Cookie Writers Out Of Work After Perfecting Art Of Writing 'Good Luck Is Coming Your Way' 10,000 Different Ways
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.
Muse Wonder: Sally has 1 sister. There are 2 girls in the family in total — because each of her 3 brothers has 2 sisters. One of those girls is Sally herself, so the other girl is her only sister.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Not enough votes to call it. On the specs, Muse Wonder has the edge: newer, bigger context window. Gemini Pro 1.0 costs 13x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.5/M tokens | $4/M tokens |
| Output price | $1.5/M tokens | $20/M tokens |
| Context window | 33K tokens | 1.0M tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Dec 2023 | Oct 2026 |
| At 10M a month | $5.00 | $40.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Gemini Pro 1.0 is developed by Google AI while Muse Wonder is developed by Meta AI. Gemini Pro 1.0 has a 33K token context window vs Muse Wonder's 1.0M. You can compare their actual outputs across 26 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini Pro 1.0 and Muse Wonder 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.
Gemini Pro 1.0 costs $0.5/M input tokens and Muse Wonder costs $4/M input tokens. Gemini Pro 1.0 is $3.50/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Gemini Pro 1.0 and Muse Wonder 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.