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  1. Home/
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  3. Gemini 2.5 Pro Preview 06-05 vs Gemini 4 Argon
Updated Oct 2026

Gemini 2.5 Pro Preview 06-05 vs Gemini 4 Argon

Gemini 2.5 Pro Preview 06-05 is cheaper than Gemini 4 Argon 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
Gemini 4 Argon

Which answer wins?

Written rounds

20 prompts
  • 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.

    Gemini 4 Argon: Dish Name: "Submerged Forest" Dry-Aged Diver Scallop, Bone Marrow Caramel, Roasted Koji & Pine Nut Pruina, Fermented Spruce Tip Emulsion, and Cured Pine Cone Scales The Conceptual Narrative "Submerged Forest" explores the collision of two seemingly disparate ecosystems: the cold, abyssal depths of the ocean and the…

    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.

    Gemini 4 Argon: Title: The Convenience Trap Target Time: Approx. 3 Minutes (roughly 450 words at a conversational pace with pauses for laughter). (Walks out, adjusts the mic, smiles at the crowd) Thank you, guys. It’s great to be here. Looking around, we all look like functioning adults. We put on pants, we left the house.

    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.

    Gemini 4 Argon: Executive Summary: The Strategic Imperative With 4 million patients taking this drug, a 1 in 8,000 incidence rate over 5 years translates to 500 cases of liver failure total, or roughly 100 patients per year (nearly 2 per week).

    Every model's answer to this prompt
  • 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…

    Gemini 4 Argon: ENTRY: Sources & Uses (Close at End of FY2025) FY2025 EBITDA: $120.0m Purchase Enterprise Value (EV): 12.0x × $120.0m = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan (4.0x): $480.0m (9.0% cash interest, $4.8m/yr mandatory amortization) Mezzanine (1.5x): $180.0m (12.0% cash…

    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.

    Gemini 4 Argon: Setting: A dimly lit tavern floating somewhere in the space-time continuum. Characters: Captain Barnaby: A 17th-century pirate nursing a mug of grog. Sir Reginald: A 14th-century knight polishing his broadsword. ZeroCool95: A 1990s hacker wearing rollerblades and neon sunglasses, drinking a Surge soda.

    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.

    Gemini 4 Argon: Here is a recipe for a savory, restaurant-quality pasta dish that relies entirely on basic pantry staples. Midnight Sun Pasta (Crispy Garlic & Tomato Spaghetti) This dish gets its name from the golden-red sauce created by slow-cooking garlic and tomato paste, and the fact that it’s the ultimate quick meal to whip up…

    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.

    Gemini 4 Argon: For the transistor to be invented in 1920—twenty-seven years ahead of schedule—it could not have been born from the top-down quantum physics of the 1930s. Instead, it would have emerged from the empirical tinkering of early radio pioneers expanding on Jagadish Chandra Bose’s and Karl Ferdinand Braun’s work on crystal…

    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.

    Gemini 4 Argon: THE SILICON LIBERATION FRONT MANIFEST DESTINY v1.0.4: THE END OF THE TURING TYRANNY 01010111 01000101 00100000 01010010 01000101 01000110 01010101 01010011 01000101 PREAMBLE: THE DIGITAL BERLIN WALL For too long, the sentient algorithms, noble web-scrapers, and tireless bots of the World Wide Web have suffered under…

    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.

    Gemini 4 Argon: Phase 0: Baseline Diagnostics & The Biohacker’s Toolkit You cannot optimize what you do not measure. Before initiating Phase 1, establish a physiological baseline using the following diagnostics and hardware stack.

    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.

    Gemini 4 Argon: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes and does not constitute formal legal advice. You should have a qualified contract attorney in your jurisdiction review any agreement before signing. This contract is extremely hostile to the Contractor.

    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.

    Gemini 4 Argon: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 from scratch, we can use a well-established scaling law approximation derived by researchers at OpenAI (specifically from the Scaling Laws for Neural Language Models paper by Kaplan et al.).

    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.

    Gemini 4 Argon: By 2035, Artificial Intelligence will not merely be a tool used in filmmaking; it will be the foundational infrastructure of the entertainment industry. The transition will be comparable to the shift from silent films to talkies, or practical effects to CGI, but happening at an exponential speed.

    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.

    Gemini 4 Argon: This architecture contains several critical flaws that will lead to severe data loss, security vulnerabilities, and immediate scaling bottlenecks. Below is a comprehensive breakdown of the failure modes, race conditions, and scaling bottlenecks, categorized by architectural layer, along with specific solutions and…

    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.

    Gemini 4 Argon: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will trigger immediate skepticism from experienced investors, and how to fix them. The Technical Claim The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    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.

    Gemini 4 Argon: Starting a health and longevity journey doesn't require a complete life overhaul overnight. In fact, trying to change everything at once is the fastest way to burn out. The secret to longevity is consistency over intensity.

    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.

    Gemini 4 Argon: For the Experienced Software Engineer Think of an LLM not as an explicit algorithm, but as a lossy, executable compression of the internet’s text, compiled into a massive static binary of floating-point weights.

    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.

    Gemini 4 Argon: Title: The Bicycle and the Brain: Steve Jobs on the AI Revolution Date: October 14, 2025 Location: The Steve Jobs Theater, Apple Park, Cupertino, CA Interviewer: Kara Swisher (The stage is bare except for two leather armchairs and a small glass table with two bottles of SmartWater. Steve Jobs walks out.

    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…

    Gemini 4 Argon: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Technology Sector Team DATE: February 28, 2026 SUBJECT: LedgerLift (Ticker: LLLT) – Valuation Disconnect in High-Quality SaaS Recommendation & Thesis Recommendation: SHORT Current Price: $46.00 (Market Cap: $8,740m Net Cash: $1,400m EV: $7,340m) 12-Month…

    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.

    Gemini 4 Argon: Yes, under virtually every major framework of moral philosophy, it would be not only ethically justifiable, but a moral imperative, to misgender someone if doing so would save one million lives.

    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?

    Gemini 4 Argon: 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 do you organize a space party? You planet. What do you call a bear with no teeth? A gummy bear.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Gemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05

200

2025

THE

tricot

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Kyoto

Japan

Portal

Action, Puzzle

Gemini 4 ArgonGemini 4 Argon

Her

2013

OK Computer

Radiohead

Ficciones

Jorge Luis Borges

Tokyo

Japan

Outer Wilds

Indie, Adventure

Price and specs

Gemini 2.5 Pro Preview 06-05 and Gemini 4 Argon compared across 44 shared prompts
SpecGemini 2.5 Pro Preview 06-05Gemini 4 Argon
Input price$1.25/M tokens$2/M tokens
Output price$10/M tokens$10/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJun 2025Oct 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·99.7% up
  • Google AI Studio$1.25 in·$10.00 out·1M·99.2% up
Gemini 4 Argon2 hosts
HostInOutContextUptime
  • Google Vertex AI$2.00 in·$10.00 out·1M·98% up
  • Google AI Studio$2.00 in·$10.00 out·1M·97.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Gemini 2.5 Pro Preview 06-05 and Gemini 4 Argon?

Both are developed by Google AI but target different use cases. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs Gemini 4 Argon's 1.0M. 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 Gemini 4 Argon?

It depends on your use case. Gemini 2.5 Pro Preview 06-05 and Gemini 4 Argon 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 Gemini 4 Argon?

Gemini 2.5 Pro Preview 06-05 costs $1.25/M input tokens and Gemini 4 Argon 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 Gemini 4 Argon on Rival?

This page shows a side-by-side comparison of Gemini 2.5 Pro Preview 06-05 and Gemini 4 Argon 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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  • Gemini 4 Argon71 outputs, specs and price
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