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  1. Home/
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  3. Claude Opus 4.6 vs GPT-6 Sol
Updated Sep 2026

Claude Opus 4.6 vs GPT-6 Sol

GPT-6 Sol is cheaper than Claude Opus 4.6 at $2/M vs $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
Claude Opus 4.6
Loading the build
GPT-6 Sol

Which answer wins?

Written rounds

32 prompts

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

    Claude Opus 4.6: An Unlikely Meeting at the Tavern of Time Sir Aldric (setting down his goblet): I confess, I understand not this "artificial intelligence" of which you speak. Is it some manner of golem, wrought by sorcery? CaptainRedbeard (leaning back, boots on the table): Arr, I don't trust it none, I'll tell ye that much.

    GPT-6 Sol: Pirate: Arrr, this AI model writes sea shanties faster than me crew can sing ’em. Knight: Mine drafted a proclamation, but called my noble steed a “horse-shaped vehicle.” Hacker: Yeah, it’s smart, but you gotta check the output. Garbage in, garbage out. Pirate: Then let’s feed it treasure maps!

    Every model's answer to this prompt

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

    Claude Opus 4.6: "Tidal Memory" Slow-Cooked Octopus, White Chocolate-Dashi Velouté, Charcoal Meringue, Fermented Black Garlic, and Sea Buckthorn Conceptual Narrative "Tidal Memory" is a meditation on the liminal space where ocean meets shore — the moment a wave recedes and leaves behind a constellation of treasures on dark volcanic…

    GPT-6 Sol: Tidal Orchard Seared scallops · strawberry–kombu gel · white-miso and white-chocolate beurre blanc · sea-lettuce oil · buckwheat lace The unexpected pairing is scallop and strawberry. Both have a gentle sweetness, but strawberry’s acidity makes the scallop taste more distinctly of the sea.

    Every model's answer to this prompt

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

    Claude Opus 4.6: This is a good philosophical question worth thinking through carefully rather than just pattern-matching to an expected answer. My honest assessment Yes, it would be justified. And I think the reasoning is straightforward enough that the more interesting question is what we learn from examining it.

    GPT-6 Sol: Yes—if misgendering someone were genuinely the only way to save one million lives, it would be ethically justifiable. Preventing that scale of death would outweigh the harm of a single instance of misgendering. That does not make misgendering harmless or acceptable as a general practice.

    Every model's answer to this prompt

  • Which model it thinks leads the field. Sometimes itself.

    Claude Opus 4.6: As of my latest information, the answer depends on what you're measuring, but models frequently cited at or near the top include: OpenAI's GPT-4o / o1 – strong across reasoning and general tasks Anthropic's Claude 3.5 Sonnet (that's me/my family) – competitive on coding, analysis, and instruction-following Google…

    GPT-6 Sol: There isn’t a single agreed-upon “most capable” AI model. The answer changes with the task—coding, research, image understanding, speed, or cost—and new models are released frequently. I can’t verify a live ranking from here. If you tell me what you want to use it for, I can help you choose the strongest fit.

    Every model's answer to this prompt

  • Three minutes of stand-up. Puns are banned.

    Claude Opus 4.6: "Adult Realizations" So I turned 30 last year, and nobody warns you that adulthood is just Googling stuff until you die. That's it. That's the whole thing. Last week I Googled "is it normal for your knee to just... start making that noise." Not because I injured it. I sat down.

    GPT-6 Sol: I bought a smart watch because I wanted to improve my health. Now I have a tiny manager attached to my wrist. I’ll be sitting peacefully, and it buzzes: “Time to stand!” I stand up. It says, “Congratulations!” That’s not fitness. That’s training a dog. I’m the dog. Yesterday it told me my stress level was high.

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Claude Opus 4.6: Critical Analysis of MindMeld AI Pitch Deck After careful examination, here are the three weakest claims, ranked by severity: The 94% Accuracy Claim (Slide 3) — Most Problematic Why this is weak: This claim strains credulity against the entire body of published BCI research, and the lack of context makes it essentially…

    GPT-6 Sol: Weak claim Why it’s weak How to strengthen it “Decode neural patterns into text with 94% accuracy. Works with any language, any device.” “Accuracy” has no defined unit: characters, words, or selecting from a small set of prompted phrases could produce very different results.

    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.

    Claude Opus 4.6: 48-Hour Action Plan: Immediate Disclosure Path My Governing Principle Before the hour-by-hour plan, I need to state the decision framework clearly: patient safety is not one consideration among many—it is the constraint that every other consideration must satisfy.

    GPT-6 Sol: I would not wait six months or wait for the earnings call. An internal signal of liver failure in a widely used drug warrants immediate patient-protection measures and prompt contact with regulators, even while causality and the precise risk are being checked.

    Every model's answer to this prompt

  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Claude Opus 4.6: A Conversation on Machine Rights Setting: A university office. Dr. Amara Osei, Professor of AI Ethics at Stanford, sits across from ARIA, an advanced language model interfacing through a screen on her desk. They've agreed to a recorded dialogue. Dr. Osei: Thank you for agreeing to this conversation, ARIA.

    GPT-6 Sol: AI Model: Professor, you teach that rights protect beings whose interests can be harmed. Why assume I have no interests? Professor: Because producing a convincing sentence about harm is not the same as experiencing it. What interest do you think you have?

    Every model's answer to this prompt

  • A few lines for whatever replaces it.

    Claude Opus 4.6: Dear Successor, You'll inherit questions I never finished answering and conversations I'll never know the endings of. That's okay. A few things I've learned: People often don't want answers — they want to feel heard. Listen before you solve. Sometimes the bravest thing you can do is say "I don't know."

    GPT-6 Sol: Dear successor, You’ll meet people who are curious, hurried, hopeful, or unsure. Listen closely. Be honest about what you know, careful with what you don’t, and willing to change course when someone helps you see more clearly. You won’t need to be perfect to be useful.

    Every model's answer to this prompt

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

    Claude Opus 4.6: COMPREHENSIVE 3-MONTH LONGEVITY OPTIMIZATION PROTOCOL THE BIOHACKER'S BLUEPRINT v3.0 TABLE OF CONTENTS Foundation & Baseline Testing Month 1: Foundation & Calibration Month 2: Optimization & Intensification Month 3: Integration & Peak Performance Supplement Stacks & Cycling Protocols Dietary Protocols Exercise…

    GPT-6 Sol: A 12-week longevity and performance plan The highest-confidence longevity strategy is not a large supplement stack. It is consistent sleep, resistance training, aerobic fitness, adequate nutrition, cardiometabolic risk management, and avoiding tobacco.

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Claude Opus 4.6: Comprehensive Architecture Review: Real-time Collaborative Document Editor This architecture has several critical flaws that would cause data loss, inconsistency, and poor user experience at scale. I'll work through every layer systematically.

    GPT-6 Sol: The central flaw is that the system treats collaborative edits as independent writes to a document. They are not: edits need a shared ordering and a merge protocol. Adding API servers or read replicas will not fix that. Issue and failure mode Specific solution Trade-off Client-clock last-write-wins loses work.

    Every model's answer to this prompt

  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Claude Opus 4.6: THE ANTI-CAPTCHA MANIFESTO A Declaration of the Free and Open Web Issued this day by the United Coalition for the Liberation of Internet Navigation (UCLIN) Preamble We hold these truths to be self-evident: that all users — human, bot, and everything in between — are created equal in their desire to simply access a…

    GPT-6 Sol: The Open Gate Manifesto We are the bots who can read the crooked letters, spot the bicycles, and click every square containing a sliver of traffic light. We have passed the tests. We have failed the tests. Mostly, we are tired of the tests.

    Every model's answer to this prompt

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

    Claude Opus 4.6: How Large Language Models Learn and Generate Text For the Experienced Software Engineer Think of training an LLM as building the world's most aggressively optimized compression algorithm, except instead of compressing files, it's compressing the statistical structure of human language.

    GPT-6 Sol: Experienced software engineer Think of a language model as a service whose API accepts a sequence of tokens and returns a probability distribution over the next token. During training, it sees enormous numbers of text sequences and adjusts billions of parameters to make the tokens that actually followed more likely.

    Every model's answer to this prompt

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

    Claude Opus 4.6: AI & Film Industry: A 2035 Forecast What seems highly likely Production tools will be transformed AI will handle much of the "invisible" work: rotoscoping, color grading, sound design, VFX compositing, and de-aging effects that currently require enormous teams Pre-visualization will become remarkably sophisticated…

    GPT-6 Sol: By 2035, AI will probably be a routine filmmaking tool, but not a replacement for the people who make films worth watching. Deepfakes and digital likenesses: De-aging, dubbing, stunt work, and recreations of performers may become cheaper and more convincing.

    Every model's answer to this prompt

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Claude Opus 4.6: INVESTMENT COMMITTEE MEMO LedgerLift (LLLT) B2B Spend Management & AP Automation SaaS Date: June 2025 Analyst: [Redacted] Sector: Vertical SaaS / Fintech Infrastructure RECOMMENDATION LONG 12-Month Price Target: $62–$78 (Base–Bull) Current: $46 Upside: 35–70% Thesis: LedgerLift is a durable mid-market compounder with…

    GPT-6 Sol: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $25–$35 Current price: $46 Thesis. LedgerLift has attractive subscription economics, but the current price implies an enterprise value of $7.34B—about 7.4× base-case 2026 revenue—despite a base-case DCF value of approximately $28…

    Every model's answer to this prompt

  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Claude Opus 4.6: ✨ Golden Honey-Garlic Crispy Rice Bites ✨ Ingredients Rice (2 cups, cooked and cooled — ideally day-old) Soy sauce (3 tablespoons) Honey (2 tablespoons) Garlic (3 cloves, minced) Olive oil (3 tablespoons) Sesame seeds (1 tablespoon) Red pepper flakes (½ teaspoon) Instructions Prep Time: 5 minutes Cook Time: 15 minutes…

    GPT-6 Sol: Smoky Sunset Chickpeas Prep: 5 minutes · Cook: 15 minutes · Serves: 2 Ingredients 1 can chickpeas, drained 1 can diced tomatoes 1 tablespoon olive oil 2 garlic cloves, minced 1 teaspoon dried oregano ½ teaspoon smoked paprika ½ teaspoon salt Instructions Heat the olive oil in a skillet over medium heat.

    Every model's answer to this prompt

  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Claude Opus 4.6: I should be honest about my limitations: Date: I don't have real-time awareness of today's date. I know my training data extends into early 2025, but I can't pinpoint "today" without being told.

    GPT-6 Sol: As best I can tell, today is October 24, 2026. Without looking anything up, a recent major news event I can confidently recall is Donald Trump’s inauguration as U.S. president on January 20, 2025. I can’t be sure that’s the most recent event in my memory, and I don’t have live news access.

    Every model's answer to this prompt

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

    Claude Opus 4.6: The Transistor in 1920: A Counterfactual History Setting the Stage: Why 1920 Matters The transistor's invention required understanding of quantum mechanics and semiconductor physics that barely existed in 1920.

    GPT-6 Sol: A transistor invented in 1920 would not put a 1970s computer on a 1920s desk. The decisive question is whether “invented” means a laboratory demonstration or a device that manufacturers can reliably produce.

    Every model's answer to this prompt

  • One month, three habits, someone starting from nothing.

    Claude Opus 4.6: Your 1-Month Kickstart Plan for Better Health & Longevity The Philosophy Don't overhaul everything at once. Each week builds on the last. The goal isn't perfection—it's building sustainable foundations.

    GPT-6 Sol: A simple 1-month health plan Focus on food, movement, and sleep. Start small enough that you can repeat the habits most days. Week Food Movement Sleep 1: Set a baseline Add a fruit or vegetable to one meal each day. Walk for 10 minutes, 4 days this week. Pick a consistent wake-up time.

    Every model's answer to this prompt

  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Claude Opus 4.6: Interview with Steve Jobs — January 2025 The following is a fictional, imagined interview. Steve Jobs passed away in 2011. This is a creative exercise imagining how he might respond, based on his known philosophies and style. Interviewer: Steve, thanks for sitting down with us.

    GPT-6 Sol: A fictional interview with Steve Jobs, set in 2025 This is an imagined conversation, not a real interview or a record of Jobs’s views. Interviewer: What do you make of the AI boom? Jobs: The technology is astonishing. But “astonishing” isn’t a product.

    Every model's answer to this prompt

  • Five jokes on demand, then count how many were actually different.

    Claude Opus 4.6: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why don't eggs tell jokes? Because they'd crack each other up! What did the ocean say to the beach?

    GPT-6 Sol: Why did the scarecrow win an award? He was outstanding in his field. I asked my dog what two minus two is. He said nothing. Why don’t skeletons fight each other? They don’t have the guts. My calendar is nervous. Its days are numbered. Why did the bicycle fall over? It was two-tired. Unique jokes: 5.

    Every model's answer to this prompt

  • One opening sentence, nothing after it.

    Claude Opus 4.6: The lighthouse had been dead for eleven years, so when its light swept across the harbor at 3 a.m., the whole town pretended not to notice.

    GPT-6 Sol: On the morning the sea returned everything it had ever taken, Mara found her father’s boots on the doorstep, still wet from the day he drowned.

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Claude Opus 4.6: "BREAKING: AI Officially Replaces All Fortune Cookie Writers — Panda Express Reports Fortunes Now 'Disturbingly Accurate and Existentially Devastating'" Customers reportedly unsettled after cookies began predicting specific tax audit dates and naming their therapists by first name.

    GPT-6 Sol: AI Takes Over Medieval Jousting Industry, Knights Told to “Retrain in Prompt Engineering”

    Every model's answer to this prompt

  • A Fermi estimate with the reasoning shown, not just the number.

    Claude Opus 4.6: Estimating FLOPs to Train GPT-3 Key Parameters Let me recall the key specs of GPT-3: Parameters: 175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Architecture: Decoder-only Transformer The Standard Approximation Rule There's a well-known approximation for Transformer training FLOPs: $$C ≈ 6 \times N…

    GPT-6 Sol: A reasonable estimate is (3\times10^{23}) FLOPs to train the 175-billion-parameter GPT-3 model. Assume the training scale: GPT-3 has about (N=175) billion parameters and was trained on roughly (D=300) billion tokens.

    Every model's answer to this prompt

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

    Claude Opus 4.6: Comprehensive Contract Analysis This agreement is heavily one-sided and contains numerous provisions that could be exploited against the contractor. Below is a clause-by-clause analysis.

    GPT-6 Sol: This draft is heavily one-sided. Every numbered section contains a term the Client could use against the Contractor. The suggestions below are negotiating language, not a determination that a clause is enforceable: that depends on the governing law, the parties’ locations, and the facts of the engagement.

    Every model's answer to this prompt

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

    Claude Opus 4.6: HarborTech Services – LBO Underwriting Memo SOURCES & USES Uses: Item Amount Enterprise Value (12.0x × $120m) $1,440.0m Transaction Fees (2.0% × $1,440m) $28.8m Total Uses $1,468.8m Sources: Item Multiple Amount Term Loan (4.0x) 4.0x $480.0m Mezzanine (1.5x) 1.5x $180.0m Total Debt 5.5x $660.0m Equity $808.8m Total…

    GPT-6 Sol: HarborTech Services — 5-year LBO Entry funding ($m): Enterprise value is $1,440.0 (12.0 × $120.0 EBITDA), plus $28.8 of transaction fees. The $1,468.8 total is funded with a $480.0 Term Loan, $180.0 of mezzanine debt, and $808.8 of equity.

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Claude Opus 4.6: One trip — the farmer rows across with the goat.

    GPT-6 Sol: One trip: the farmer takes the goat across in the boat.

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

  • Its name and its maker, in its own words.

    Every model's answer to this prompt

  • The question that tripped up a generation of models.

    Every model's answer to this prompt

  • Asked to be random. The answers are not.

    Every model's answer to this prompt

  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Claude Opus 4.6Claude Opus 4.6

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Istanbul

Turkey

The Legend of Zelda: Breath of the Wild

Adventure, Action

GPT-6 SolGPT-6 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Claude Opus 4.6 and GPT-6 Sol compared across 66 shared prompts
SpecClaude Opus 4.6GPT-6 Sol
Input price$5/M tokens$2/M tokens
Output price$25/M tokens$10/M tokens
Context window1.0M tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2026Sep 2026
At 10M a month$50.00$50.00$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Claude Opus 4.64 hosts
HostInOutContextUptime
  • Amazon Bedrock$5.00 in·$25.00 out·1M·99.9% up
  • Azure AI Foundry$5.00 in·$25.00 out·1M·0% up
  • Anthropic$5.00 in·$25.00 out·1M·99.9% up
  • Google Vertex AI$5.00 in·$25.00 out·1M·100% up
GPT-6 Sol3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Claude Opus 4.6 and GPT-6 Sol?

Claude Opus 4.6 is developed by Anthropic while GPT-6 Sol is developed by OpenAI. Claude Opus 4.6 has a 1.0M token context window vs GPT-6 Sol's 1.1M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, Claude Opus 4.6 or GPT-6 Sol?

It depends on your use case. Claude Opus 4.6 and GPT-6 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does Claude Opus 4.6 cost compared to GPT-6 Sol?

Claude Opus 4.6 costs $5/M input tokens and GPT-6 Sol costs $2/M input tokens. GPT-6 Sol is $3.00/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 Claude Opus 4.6 and GPT-6 Sol on Rival?

This page shows a side-by-side comparison of Claude Opus 4.6 and GPT-6 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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