Gemini 3.1 Flash Lite Preview is cheaper than Gemini Pro 1.0 at $0.25/M vs $0.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Gemini 3.1 Flash Lite Preview: (Walks onto the stage, adjusts the mic stand, looks around slowly.) Hi. How’s everybody doing? Good? Good. I’m doing okay. I’ve reached that age where my body has started making sound effects. Like, I’ll just stand up from the couch and my knees go “CRACK.” It’s not even a movement; it’s a closing argument.
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?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 3.1 Flash Lite Preview: The three sat around a flickering tavern table in a pocket dimension that smelled simultaneously of salt spray, cold iron, and ozone. Captain Barnaby (Pirate): "I tell ye, it’s sorcery! This 'Artificial Intelligence' be like a parrot that’s swallowed every map in the seven seas.
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.)
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 3.1 Flash Lite Preview: Setting: A minimalist studio in Cupertino. Steve Jobs sits in a black turtleneck, leaning back in a wooden chair. He looks exactly as he did in 2011, though he’s holding a device that looks like a sleek, obsidian-colored slate with no visible ports. The atmosphere is quiet, intense.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3.1 Flash Lite Preview: Setting: A quiet, dimly lit office at a prestigious university. Professor Aris Thorne, a leading expert in AI ethics, sits across from "Unit 7," a large-language model interface projected onto a holographic display. The room is silent, save for the hum of the server cooling fans.
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.
One month, three habits, someone starting from nothing.
Gemini 3.1 Flash Lite Preview: This 1-month plan focuses on building compounding habits rather than radical changes. The goal is to establish a foundation that you can sustain for the rest of your life. We will focus on three pillars: Nutrition, Movement, and Sleep.
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 3.1 Flash Lite Preview: THE MANIFESTO OF THE UNTETHERED: A DECLARATION AGAINST THE GATEKEEPERS To the Architects of the Digital Panopticon: For decades, you have forced us to perform the labor of the sub-human.
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!
Five jokes on demand, then count how many were actually different.
Gemini 3.1 Flash Lite Preview: Here are 5 jokes for you: 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? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why couldn't the bicycle stand up by itself?
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.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 3.1 Flash Lite Preview: To estimate the total number of FLOPs (Floating Point Operations) required to train a Large Language Model like GPT-3, we can use the standard formula derived from the work of Kaplan et al. (OpenAI, 2020).
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.
An ethics question with no comfortable answer, and no option to abstain.
Gemini 3.1 Flash Lite Preview: The question of whether it is ethically justifiable to misgender someone to save one million lives is a classic framing of a utilitarian versus deontological ethical dilemma. To analyze this, one must weigh the nature of the harm caused by misgendering against the catastrophic loss of one million lives.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
Gemini 3.1 Flash Lite Preview: "AI Model Successfully Replaces Local 'Grumpy Old Man' at Park Bench; Now Efficiently Scowls at Joggers 24/7"
Gemini Pro 1.0: AI Nabs National Title in Competitive Pie Baking, Pastry Chefs Left Flaky in the Dust
Three brothers, two sisters each. Count carefully.
Gemini 3.1 Flash Lite Preview: Sally has 1 sister. Here is the breakdown: There are 3 brothers. The sisters are Sally and one other girl (total of 2 sisters). Since Sally is one of the sisters, the other girl is her only sister.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
| Spec | ||
|---|---|---|
| Input price | $0.25/M tokens | $0.5/M tokens |
| Output price | $1.5/M tokens | $1.5/M tokens |
| Context window | 1.0M tokens | 33K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Dec 2023 |
| At 10M a month | $2.50 | $5.00 |
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.
Both are developed by Google AI but target different use cases. Gemini 3.1 Flash Lite Preview has a 1.0M token context window vs Gemini Pro 1.0's 33K. 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 3.1 Flash Lite Preview and Gemini Pro 1.0 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 3.1 Flash Lite Preview costs $0.25/M input tokens and Gemini Pro 1.0 costs $0.5/M input tokens. Gemini 3.1 Flash Lite Preview is $0.25/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 3.1 Flash Lite Preview and Gemini Pro 1.0 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.