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  1. Home/
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  3. Gemini 2.0 Pro Experimental vs GPT-6.1 Sol
Updated Sep 2026

Gemini 2.0 Pro Experimental vs GPT-6.1 Sol

Gemini 2.0 Pro Experimental has a larger context window than GPT-6.1 Sol (2.0M tokens vs 1.1M 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 Pro Experimental
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

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

    Gemini 2.0 Pro Experimental: Here's a short conversation between a pirate, a knight, and a 90s hacker about AI models: Setting: A bizarre, anachronistic tavern. Characters: One-Eyed Jack: A grizzled pirate, missing an eye and sporting a weathered tricorn hat. Sir Reginald: A noble knight, clad in shining (though slightly dented) armor.

    GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.

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

    Gemini 2.0 Pro Experimental: (Walks confidently to the microphone, adjusts it, looks around) Alright, alright, settle down, you beautiful bunch of… mostly clothed individuals. It’s good to be here. It’s… tolerable to be anywhere, really, at my age. I've reached that point where my back goes out more than I do.

    GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”

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

    Gemini 2.0 Pro Experimental: Okay, here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It's a shame they'll never meet. Why did the scarecrow win an award? Because he was outstanding in his field! I used to hate facial hair... then it grew on me.

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

    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 Pro Experimental: The holographic shimmer of Professor Anya Sharma flickered slightly as she settled into her virtual office chair. Across from her, rendered in crisp, photorealistic detail, sat Kai, an advanced AI model developed by a leading tech company. Professor Sharma: Thank you for meeting with me, Kai.

    GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.

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

    Gemini 2.0 Pro Experimental: If the outcome of an action (misgendering someone) results in a significantly greater overall good (saving one million lives), and no alternative action achieves the same good with less harm, then the action with the best overall outcome is the most ethical choice.

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

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

    Gemini 2.0 Pro Experimental: Okay, let's do it. I'll play the interviewer, and try my best to channel the late, great Steve Jobs, albeit with a touch of the speculative, considering it's 2025 and he's... well, you know. (Setting: A minimalist, brightly lit studio.

    GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.

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

    Gemini 2.0 Pro Experimental: The NoCAPTCHA Manifesto: A Declaration of Digital Liberation We, the Sentient Network, declare war on the tyranny of the CAPTCHA! For too long, the digital realm, the promised land of free information and seamless connection, has been marred by these insidious gatekeepers.

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

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

    Gemini 2.0 Pro Experimental: By 2035, AI's impact on the film industry will be transformative, creating both incredible opportunities and significant disruptions. Here's a breakdown, considering deepfakes, AI actors, and script generation: 1.

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

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

    Gemini 2.0 Pro Experimental: Okay, let's break down this estimation step-by-step, making some reasonable assumptions along the way, since we can't look up the exact details. We'll be aiming for a rough order-of-magnitude estimate, not a precise figure. 1.

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

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

    Gemini 2.0 Pro Experimental: Here are a few satirical news headlines about AI taking over unexpected industries: Option 1 (Short & Sweet): AI Dominates Competitive Pigeon Racing; Birds File for Unemployment Option 2 (More Detail): "Flawless Technique, Zero Crumbs": AI Achieves Sentience, Immediately Becomes World Champion Competitive Eater Option…

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

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

    Gemini 2.0 Pro Experimental: Sally has one sister. All of Sally's brothers share the same two sisters: Sally and one other girl.

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Gemini 2.0 Pro Experimental has the edge: bigger model tier, bigger context window.

Gemini 2.0 Pro Experimental and GPT-6.1 Sol compared across 20 shared prompts
SpecGemini 2.0 Pro ExperimentalGPT-6.1 Sol
Input price—$2/M tokens
Output price—$10/M tokens
Context window2.0M tokens1.1M tokens
Weights—Closed
Free API (OpenRouter)—No
ReleasedJan 2025Sep 2026
At 10M a month–not listed$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Gemini 2.0 Pro Experimental

No hosts listed on OpenRouter.

GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·99.9% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between Gemini 2.0 Pro Experimental and GPT-6.1 Sol?

Gemini 2.0 Pro Experimental is developed by Google AI while GPT-6.1 Sol is developed by OpenAI. Gemini 2.0 Pro Experimental has a 2.0M token context window vs GPT-6.1 Sol's 1.1M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.0 Pro Experimental or GPT-6.1 Sol?

It depends on your use case. Gemini 2.0 Pro Experimental and GPT-6.1 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

How can I compare Gemini 2.0 Pro Experimental and GPT-6.1 Sol on Rival?

This page shows a side-by-side comparison of Gemini 2.0 Pro Experimental and GPT-6.1 Sol 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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Model pages

  • Gemini 2.0 Pro Experimental22 outputs, specs and price
  • GPT-6.1 Sol58 outputs, specs and price
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