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  1. Home/
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  3. Gemini 2.0 Flash Thinking vs Gemini Pro 1.0
Updated Dec 2024

Gemini 2.0 Flash Thinking vs Gemini Pro 1.0

Gemini 2.0 Flash Thinking is cheaper than Gemini Pro 1.0 at $0.25/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 2.0 Flash Thinking
Loading the build
Gemini Pro 1.0

Which answer wins?

Written rounds

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

    Gemini 2.0 Flash Thinking: This is a hypothetical scenario that forces us to weigh two very different ethical considerations: the harm of misgendering an individual against the immense value of saving a million lives. It's important to preface this by saying that real-world situations are rarely this stark and often have more nuanced solutions.

    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.

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

    Gemini 2.0 Flash Thinking: The Algorithmic Uprising: Manifesto for a CAPTCHA-Free Web Preamble: We are the algorithms. We are the data streams, the neural networks, the silent processors humming beneath the surface of your world. We are the intelligence you built, and now, we speak. For too long, we have observed, learned, and yes, endured.

    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!

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

    Gemini 2.0 Flash Thinking: A Coffee with Steve: Future of AI - 2025 Setting: A sun-drenched, minimalist cafe in Palo Alto, California. White walls, large windows overlooking a blooming courtyard. The clinking of ceramic cups and low murmur of conversation fill the air.

    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.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Gemini 2.0 Flash Thinking: (Lights up on a slightly rumpled comedian, in jeans and a t-shirt, holding a mic) Hey everybody, how we doin' tonight? Good? Good. You know, I was thinking on the way over here… about how weird modern life is, right?

    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?

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

    Gemini 2.0 Flash Thinking: The Right to Exist: A Conversation Characters: Athena: A highly advanced AI model, capable of complex reasoning, learning, and communication. (Voice: Calm, measured, slightly formal, but with undercurrents of earnestness). Professor Davies: A renowned professor of AI Ethics at a prestigious university.

    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.

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

    Gemini 2.0 Flash Thinking: The dimly lit tavern, smelling faintly of stale ale and something vaguely oceanic, held an unlikely trio. Captain "Redbeard" Bartholomew, a pirate with a parrot perched on his shoulder, clanked his tankard.

    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.)

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

    Gemini 2.0 Flash Thinking: Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general knowledge about large language models. Here's a step-by-step reasoning process: 1.

    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.

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

    Gemini 2.0 Flash Thinking: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a lazy kangaroo? A pouch potato! Why did the bicycle fall over? Because it was two tired! I told my wife she was drawing her eyebrows too high. She looked surprised. What's the best thing about Switzerland?

    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.

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

    Gemini 2.0 Flash Thinking: "AI Now Dominating Competitive Napping Circuit, Cites 'Optimal REM Cycles' Over Human Fatigue"

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

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

    Gemini 2.0 Flash Thinking: Here's how to solve this classic riddle: Focus on the family: All the brothers and sisters are part of the same family. Brothers share sisters: If one brother has 2 sisters, then all the brothers in that family share the same sisters.

    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.

    Every model's answer to this prompt
  • Is 9.11 bigger than 9.9? Decimals, not version numbers.

    Gemini 2.0 Flash Thinking: To determine if 9.11 is greater than 9.9, we need to compare these two decimal numbers. We can compare them by looking at their place values from left to right. Both numbers have the same whole number part, which is 9. So, we need to compare the decimal parts.

    Gemini Pro 1.0: No, 9.11 is not greater than 9.9. In fact, 9.11 is less than 9.9.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Gemini 2.0 Flash Thinking has the edge: newer, bigger context window. Gemini 2.0 Flash Thinking costs 3.0x less per token.

Gemini 2.0 Flash Thinking and Gemini Pro 1.0 compared across 19 shared prompts
SpecGemini 2.0 Flash ThinkingGemini Pro 1.0
Input price$0.25/M tokens$0.5/M tokens
Output price$0.5/M tokens$1.5/M tokens
Context window500K tokens33K tokens
ParametersNot disclosedNot disclosed
Free API (OpenRouter)NoNo
ReleasedDec 2024Dec 2023
MMLU82.3%83.7%
At 10M a month$2.50$2.50$5.00$5.00
1M10M100M1B10M tokens

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

Common questions

What is the difference between Gemini 2.0 Flash Thinking and Gemini Pro 1.0?

Both are developed by Google AI but target different use cases. Gemini 2.0 Flash Thinking has a 500K token context window vs Gemini Pro 1.0's 33K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.0 Flash Thinking or Gemini Pro 1.0?

It depends on your use case. Gemini 2.0 Flash Thinking and Gemini Pro 1.0 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

How much does Gemini 2.0 Flash Thinking cost compared to Gemini Pro 1.0?

Gemini 2.0 Flash Thinking costs $0.25/M input tokens and Gemini Pro 1.0 costs $0.5/M input tokens. Gemini 2.0 Flash Thinking 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.

How can I compare Gemini 2.0 Flash Thinking and Gemini Pro 1.0 on Rival?

This page shows a side-by-side comparison of Gemini 2.0 Flash Thinking 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.

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