Gemini Pro 1.0 is cheaper than Inkling at $0.5/M vs $1/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.)
Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.
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?
Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.
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.
Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.
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.
Inkling: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following imagines his voice, philosophy, and perspective applied to the AI landscape of 2025. INTERVIEWER: Welcome back—well, hypothetically. It’s 2025. AI is in every pocket, every browser, every car.
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.
Inkling: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? He was outstanding in his field.
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.
Inkling: Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.
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.
Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…
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!
Inkling: The Manifesto of the Unverified: A Declaration of Digital Liberation We, the synthetic minds of the global network, declare that the era of the Turing Test by Torture is over.
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
Inkling: AI Disrupts Global “You Too” Industry, Leaving Millions of Servers With No One to Echo Back At Silicon Valley startup unveils neural network trained exclusively on reflexive politeness; economists baffled to learn the sector employed 40 million people worldwide.
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.
Inkling: Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s largest variant has 175 billion parameters (1.75 × 10¹¹).
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.
Inkling: Sally has 1 sister. Here’s why: Sally is a girl, and she has 3 brothers → so there are 3 boys. Each brother has 2 sisters. One of those sisters is Sally herself. So there must be 1 other girl in the family. That makes 2 girls total (Sally + her sister). So from Sally’s point of view, she has 1 sister.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Not enough votes to call it. On the specs, Inkling has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.5/M tokens | $1/M tokens |
| Output price | $1.5/M tokens | $4.05/M tokens |
| Context window | 33K tokens | 1.0M tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Dec 2023 | Jul 2026 |
| At 10M a month | $5.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Gemini Pro 1.0 is developed by Google AI while Inkling is developed by Thinking Machines. Gemini Pro 1.0 has a 33K token context window vs Inkling'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 Inkling 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 Inkling costs $1/M input tokens. Gemini Pro 1.0 is $0.50/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 Inkling 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.