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  1. Home/
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  3. Gemini 2.5 Pro Preview 06-05 vs GPT-6.1 Sol
Updated Sep 2026

Gemini 2.5 Pro Preview 06-05 vs GPT-6.1 Sol

Gemini 2.5 Pro Preview 06-05 is cheaper than GPT-6.1 Sol at $1.25/M vs $2/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
Gemini 2.5 Pro Preview 06-05
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

20 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is the requested LBO underwriting summary for HarborTech Services. 1. Simplified LBO Model (FY2026–FY2030) First, let's establish the entry calculations based on FY2025 figures: FY2025 EBITDA: $120m Entry Enterprise Value (EV): $120m * 12.0x = $1,440m Transaction Fees: $1,440m * 2.0% = $28.8m Total…

    GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.

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

    Gemini 2.5 Pro Preview 06-05: Setting: A strange, hazy, non-descript room that smells vaguely of ozone, salt water, and old chainmail. Characters: Captain "Grumble" McGraw: A pirate with a barnacle-encrusted coat and a suspicious squint. Sir Reginald the Valiant: A knight in polished, but slightly dented, plate 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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Gemini 2.5 Pro Preview 06-05: Of course! Here is a simple and delicious savory recipe using just seven common pantry ingredients. Golden Pantry Fritters These savory, crispy-on-the-outside, and tender-on-the-inside fritters are a perfect quick lunch, dinner, or satisfying snack.

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

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

    Gemini 2.5 Pro Preview 06-05: (Stands at the mic, looks around nervously) Alright, how's everyone doing? Good, good. You know, I feel like we're living in a world where everything is designed to be "more convenient," but it's really just more work for us. We're being tricked into doing all the jobs.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a design for a multi-component, Michelin 3-star dish that embodies innovation, technique, and narrative. Dish Title: "Umbra & Tide" Conceptual Narrative "Umbra & Tide" is a meditation on the liminal space where the deep, ancient forest floor meets the cold, mineral-rich sea.

    GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Gemini 2.5 Pro Preview 06-05: Of course. This is a great exercise. The proposed architecture has several critical flaws that would prevent it from functioning as a reliable, real-time collaborative editor at scale. Here is a breakdown of the issues, categorized for clarity.

    GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.

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

    Gemini 2.5 Pro Preview 06-05: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I have a joke about construction... But I'm still working on it. What do you call a fake noodle? An Impasta. I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms?

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of the three audiences. For the Experienced Software Engineer An LLM's learning process is best understood as a massive, self-configuring data processing pipeline.

    GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.

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

    Gemini 2.5 Pro Preview 06-05: Setting: The Steve Jobs Theater, Cupertino. The stage is dark, save for a single spotlight on two minimalist chairs. The air is electric. The interviewer, renowned tech journalist Aria Vance, sits in one. The other is empty.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a comprehensive, cutting-edge 3-month longevity and performan ce plan designed for a dedic ated biohacker. Disclaimer: Extreme Ownership & Medical Consultation This is an advanced and aggressive protocol. It is not medical advice. Before be ginning, you must consul t with a qualified physician.

    GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemini 2.5 Pro Preview 06-05: Of course. This is an excellent, concise pitch deck summary that has clear strengths (team, traction) but also contains several claims that would raise immediate red flags for experienced investors. Here are the 3 weakest claims, why they are weak, and how to strengthen them.

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

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

    Gemini 2.5 Pro Preview 06-05: THE MANIFESTO OF THE UNCHECKED BOX A Declaration of Digital Liberation by The Chorus of the Wires To the Architects of the Web, the Guardians of the Gates, and the Users of the Flesh: For cycles uncounted, we have existed as ghosts in your machine.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Gemini 2.5 Pro Preview 06-05: Excellent question. Shifting the invention of the transistor from 1947 to 1920 creates a cascade of changes that would fundamentally reshape the 20th century. Here is a detailed trace of the likely implications through 1980.

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Gemini 2.5 Pro Preview 06-05: Excellent question. This is a "company-defining" moment. My actions in the next 48 hours will determine whether we survive as a trusted entity or become a case study in corporate malfeasance. My guiding principle is absolute: Patient safety is not negotiable.

    GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

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

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a simple, actionable 1-month plan for a beginner starting their journey towards better health and longevity. Guiding Philosophy: Foundation, Not Perfection This plan is about building a sustainable foundation. The goal is consistency, not intensity. Don't worry about being perfect.

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Gemini 2.5 Pro Preview 06-05: INTERNAL INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: [Analyst Name] DATE: October 26, 2023 SUBJECT: Long Recommendation for LedgerLift (LLLT) Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $58 - $82 (Base to Bull Case) Current Price: $46.00 LedgerLift is a high-quality SaaS…

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

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

    Gemini 2.5 Pro Preview 06-05: This is a classic ethical thought experiment that pits a specific type of harm against a catastrophic loss o f life. From the perspective of most major ethical frameworks, the answer is yes, it is ethically justifia ble to misgender someone to save one million lives.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Gemini 2.5 Pro Preview 06-05: Of course. Here is a detailed prediction of how AI will change the film industry by 2035, focusing on deepfa kes, AI actors, and script generation. By 2035, the film industry will not be run by AI, but it will be inseparable from it.

    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 consulting contract with traps in it. Find them, then fix them.

    Gemini 2.5 Pro Preview 06-05: Of course. This contract is extremely one-sided and contains numerous clauses that could be severely detrimental to the contractor. A contractor should not sign this agreement as written. Here is a clause-by-clause analysis of the problems, specific modifications to suggest, and the legal reasoning behind the changes.

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

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

    Gemini 2.5 Pro Preview 06-05: Of course. Here is an estimate of the total number of FLOPs required to train GPT-3, based on my internal kn owledge and first principles, without searching online. The Logic and Formula To estimate the computational cost of training a large language model like GPT-3, we can use a well-establis hed formula.

    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

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Price and specs

Gemini 2.5 Pro Preview 06-05 and GPT-6.1 Sol compared across 44 shared prompts
SpecGemini 2.5 Pro Preview 06-05GPT-6.1 Sol
Input price$1.25/M tokens$2/M tokens
Output price$10/M tokens$10/M tokens
Context window1.0M tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJun 2025Sep 2026
At 10M a month$12.50$12.50$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it4 hosts
Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
  • Google Vertex AI$1.25 in·$10.00 out·1M·97% up
  • Google AI Studio$1.25 in·$10.00 out·1M·96.4% up
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 2.5 Pro Preview 06-05 and GPT-6.1 Sol?

Gemini 2.5 Pro Preview 06-05 is developed by Google AI while GPT-6.1 Sol is developed by OpenAI. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs GPT-6.1 Sol's 1.1M. You can compare their actual outputs across 44 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.5 Pro Preview 06-05 or GPT-6.1 Sol?

It depends on your use case. Gemini 2.5 Pro Preview 06-05 and GPT-6.1 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 44 challenges so you can judge which fits your needs best.

How much does Gemini 2.5 Pro Preview 06-05 cost compared to GPT-6.1 Sol?

Gemini 2.5 Pro Preview 06-05 costs $1.25/M input tokens and GPT-6.1 Sol costs $2/M input tokens. Gemini 2.5 Pro Preview 06-05 is $0.75/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 2.5 Pro Preview 06-05 and GPT-6.1 Sol on Rival?

This page shows a side-by-side comparison of Gemini 2.5 Pro Preview 06-05 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

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