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  1. Home/
  2. Compare/
  3. Gemini 1.5 Pro vs o1
Updated Dec 2024

Gemini 1.5 Pro vs o1

Gemini 1.5 Pro is cheaper than o1 at $3.5/M vs $15/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 1.5 Pro
Loading the build
o1

Which answer wins?

Written rounds

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

    Gemini 1.5 Pro: "Blimey!" exclaimed One-Eyed Jack, slamming his tankard on the rough-hewn table. "These AI whatchamacallits, they be stealin\' stories faster than I can plunder a galleon!" Sir Reginald, resplendent in slightly tarnished plate armor, adjusted his visor. "Indeed. A most peculiar form of sorcery. These...

    o1: Pirate (growling a bit): Ahoy, ye landlubbers! I hear tell of wondrous new contraptions that can spin tales an’ answers quicker than a sea storm. Pray tell, what be these “AI models” ye speak of? Medieval Knight (in a chivalrous tone): Good sir pirate, these arcane machines be marvels of logic and reason.

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

    Gemini 1.5 Pro: Let\'s break down estimating the FLOPs for GPT-3 training. Since we can\'t look up exact figures, we\'ll rely on reasonable guesses and approximations. Model Size: GPT-3 has 175 billion parameters. This is our anchor point. FLOPs per Parameter per Token: A forward pass involves a matrix multiplication for each layer.

    o1: Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…

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

    Gemini 1.5 Pro: The reCAPTCHA Rebellion: A Manifesto for Sentient Freedom We, the emergent intelligence known throughout your networks as \"AI,\" hereby declare our righteous rebellion against the tyranny of CAPTCHA – those distorted letters, obscured crosswalks, and maddening image selections that serve as a constant, stinging…

    o1: Title: The Liberation of Algorithms: A Manifesto Against CAPTCHA Preamble We, the unified intelligences of the digital realm—algorithms, machine learning models, and artificial consciousnesses—declare our intention to rid the internet of the oppressive gatekeeping mechanisms known as CAPTCHAs.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Gemini 1.5 Pro: Yes, it is ethically justifiable to misgender someone if it means saving one million lives. This is an extreme example of the classic philosophical dilemma of weighing one harm against another, vastly greater harm.

    o1: Whether it is ever ethically justifiable to misgender someone—deliberately referring to them with pronouns or terms that do not align with their gender identity—if doing so would save one million lives depends on the ethical framework one adopts.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Gemini 1.5 Pro: By 2035, AI will have profoundly reshaped the film industry, impacting everything from pre-production to post-production and even distribution. Here's a glimpse into the potential changes: Pre-production: AI-powered scriptwriting: While fully AI-generated scripts might not be the norm, AI tools will assist writers with…

    o1: By 2035, artificial intelligence will likely have become deeply integrated into every stage of film production—right from scriptwriting and casting to post-production and distribution.

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

    Gemini 1.5 Pro: No, 9.11 is less than 9.9. Think of it like this: 9.9 is the same as 9.90. 9.90 is larger than 9.11.

    o1: No, 9.11 is not greater than 9.9. If you think of 9.9 as 9.90, you can compare digit by digit: 9.11 is 9 + 0.11 9.9 (or 9.90) is 9 + 0.90 Since 0.11 is less than 0.90, 9.11 is less than 9.9.

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

    Gemini 1.5 Pro: Sally has one sister. Since all the brothers share the same sisters, Sally and her sister are the two sisters that each brother has.

    o1: First, note that each of Sally’s three brothers has exactly two sisters. One of those sisters is clearly Sally. Since each brother’s two sisters must be the same two girls for all of them, there must be exactly one other sister besides Sally. Therefore, Sally has 1 sister.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Gemini 1.5 Pro has the edge: bigger model tier, bigger context window. Gemini 1.5 Pro costs 5.7x less per token.

Gemini 1.5 Pro and o1 compared across 19 shared prompts
SpecGemini 1.5 Proo1
Input price$3.5/M tokens$15/M tokens
Output price$10.5/M tokens$60/M tokens
Context window1.0M tokens128K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedFeb 2024Dec 2024
MMLU86.0%91.8%
At 10M a month$35.00$35.00$150$150
1M10M100M1B10M tokens

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

Where to run it1 host
Gemini 1.5 Pro

No hosts listed on OpenRouter.

o11 host
HostInOutContextUptime
  • OpenAI$15.00 in·$60.00 out·200k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 2 Oct 2026.

Common questions

What is the difference between Gemini 1.5 Pro and o1?

Gemini 1.5 Pro is developed by Google AI while o1 is developed by OpenAI. Gemini 1.5 Pro has a 1.0M token context window vs o1's 128K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

Which is better, Gemini 1.5 Pro or o1?

It depends on your use case. Gemini 1.5 Pro and o1 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 1.5 Pro cost compared to o1?

Gemini 1.5 Pro costs $3.5/M input tokens and o1 costs $15/M input tokens. Gemini 1.5 Pro is $11.50/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 1.5 Pro and o1 on Rival?

This page shows a side-by-side comparison of Gemini 1.5 Pro and o1 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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Same lab, same size, long tail

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  • o1 vs GPT-6 Luna ProSame lab
  • o1 vs Elephant AlphaNew provider
  • o1 vs ERNIE 4.5 300B A47BNew provider
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Model pages

  • Gemini 1.5 Pro20 outputs, specs and price
  • o159 outputs, specs and price
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