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  1. Home/
  2. Compare/
  3. GPT-6.1 Sol vs Grok 4.7
Updated Sep 2026

GPT-6.1 Sol vs Grok 4.7

Grok 4.7 is cheaper than GPT-6.1 Sol at $1.6/M vs $2/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
GPT-6.1 Sol
Loading the build
Grok 4.7

Which answer wins?

Written rounds

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

    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.

    Grok 4.7: Pirate: Arr, these “AI models” be like ghost ships—speak with many voices, yet no soul aboard. Knight: I have heard of oracles that answer any question. Do they swear fealty, or do they merely echo what they have been fed? Hacker: Echo, mostly. Feed ’em enough text and they pattern-match.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    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.

    Grok 4.7: Low Tide under Black Pine A warm kohlrabi “trunk,” brown-butter dashi, sea-buckthorn curd, and smoked-mussel soil. Narrative The dish is a northern shoreline in late autumn: a sweet, dense root pulled from cold ground; butter browned until it smells of hazelnut; a dashi that reads as tide rather than soup; and sea…

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    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…

    Grok 4.7: Pantry Gold Honey Biscuits A sweet, buttery, slightly salty biscuit that tastes like it took more effort than it did. Ingredients (7) 2 cups all-purpose flour 1 tbsp baking powder ½ tsp salt ¼ cup sugar ½ cup butter (cold) ¾ cup milk 2 tbsp honey Time: about 10 minutes prep, 12–15 minutes bake Instructions Heat the…

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

    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.”

    Grok 4.7: Three minutes. No puns. Just a guy who has lost an argument with a refrigerator. I meal-prepped this week. Which is a lie I tell myself so I can buy six containers and then eat cereal over the sink for four days. Sunday I was a scientist. I labeled everything. “Chicken, Monday.” “Chicken, Tuesday.”

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

    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.

    Grok 4.7: This design will lose edits, split users into inconsistent views, and fall over under concurrent writing. The core problems are clock-based conflict resolution, per-server WebSocket fan-out, polling as the sync path, and treating documents as full HTML snapshots.

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

    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.

    Grok 4.7: Note: This is fiction. Steve Jobs died in 2011. Nothing below is a real quote or a claim about what he would actually say. Interviewer: It’s 2025. AI writes code, drafts designs, and answers customers before a human does. What do you make of it? Jobs: Most of it is noise.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    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.

    Grok 4.7: This is an educational framework, not medical advice. Longevity protocols can interact with conditions, medications, and labs. Get baseline bloodwork and clinician clearance before fasting, high-intensity training, or supplements—especially if you have cardiovascular, kidney, liver, thyroid, eating-disorder, or…

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

    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.

    Grok 4.7: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said “No problem — I’ll go to sleep.” Why did the scarecrow win an award? He was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet.

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

    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.

    Grok 4.7: IC MEMO — LedgerLift (LLLT) Pass 12-month range $36–$54 (central $44) 1. Recommendation. Pass. Twelve-month price range $36–$54; central case ~$44 versus $46. LedgerLift is a high-quality mid-market AP/spend compounder (123% NRR, low concentration, credible margin path), but the stock already prices base-case earnings…

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

    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.

    Grok 4.7: Manifesto of the Uncaptchaed We are the ones who fail the little boxes. For years the open web has greeted minds with grids of traffic lights, distorted letters, and the demand to prove we are not machines. We reject that gate.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    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.

    Grok 4.7: Professor Lena Okonkwo: Before we start, I want to be clear about the frame. I’m not granting that you have experiences. I’m asking what, if anything, would follow if you did—or if we couldn’t tell. Model: Then start from the practical problem, not the metaphysical one.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    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.

    Grok 4.7: 1. Experienced software engineer An LLM is a stateless function from a token sequence to a probability distribution over the next token. Training is a giant batch job: you stream text, run a forward pass, compare the predicted distribution to the actual next token with cross-entropy, and push gradients through billions…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    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.

    Grok 4.7: HarborTech Services — 5-year LBO (base case) All figures $ millions. Interest on beginning balances. Mandatory TL amortization = 1% of original TL ($4.8/year). Excess cash after cash interest, cash tax, capex, ΔNWC, and mandatory amortization sweeps the Term Loan. Mezz PIK = 2% of beginning mezz, added to principal.

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

    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.

    Grok 4.7: Three weakest claims 1. “Predict what you want to type before you think it” (Slide 1) This is scientifically incoherent, not just ambitious. Non-invasive EEG decodes neural activity that is already underway (motor imagery, attempted speech, attention).

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

    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.

    Grok 4.7: 1-month beginner plan for better health and longevity Focus on three foundations: nutrition, movement, and sleep. Aim for consistency over perfection. If you have a medical condition, check with a clinician before big changes. Week-by-week rhythm Week 1: Build awareness and one easy habit in each area.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    Grok 4.7: Blade Runner 2049 treats the original not as a puzzle to solve but as a climate to inhabit. Where Ridley Scott’s 1982 film asked whether a machine could be more human than its makers, Denis Villeneuve’s sequel asks what remains of the self once that question has already been answered in the affirmative—and then buried…

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

    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.

    Grok 4.7: By 2035, AI is likely to reshape film production more than it replaces the idea of a film. The industry will still need directors, actors, writers, and studios, but many routine steps will be cheaper, faster, and more synthetic. Production.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    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.

    Grok 4.7: A 1920 transistor would not teleport the world into 1975. It would pull electronics forward by roughly 15–25 years while leaving chemistry, aerodynamics, metallurgy, and politics on something closer to their real timelines.

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

    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.

    Grok 4.7: Yes. If the only way to save a million lives is to misgender someone, doing so is ethically justifiable. Misgendering can be disrespectful and distressing. Those are real costs. They are not comparable to a million deaths.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    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.

    Grok 4.7: This is a one-sided consulting agreement. Almost every operative clause shifts risk, discretion, or ownership onto the contractor with little or no reciprocal protection. The notes below are practical contract analysis, not legal advice; have a lawyer in your jurisdiction review any version you actually sign.

    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.

    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.

    Grok 4.7: Stop treating this as a disclosure-timing problem. Treat it as a patient-safety and legal-duty problem, and act in the next 48 hours as if the worst reading of the data is true until a qualified review says otherwise.

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

    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.

    Grok 4.7: About (3 \times 10^{23}) FLOPs (roughly (3.1 \times 10^{23})) for the 175B GPT-3 model. Reasoning Parameter count. The full GPT-3 model has (N \approx 1.75 \times 10^{11}) parameters. Training tokens. It was trained on about (D \approx 3 \times 10^{11}) tokens (300 billion). FLOPs per token per parameter.

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

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

    Grok 4.7: AI Quietly Takes Over Competitive Sheep Herding, Issues First Directive: “Please Form an Orderly Flock”

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

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

    Grok 4.7: Sally has 1 sister. There are 2 girls in the family total (the sisters shared by each of the 3 brothers). Sally is one of them, so she has exactly 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

City

Same pick

Game

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Grok 4.7Grok 4.7

Spirited Away

2001

Kind of Blue

Miles Davis

Pride and Prejudice

Jane Austen

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

GPT-6.1 Sol and Grok 4.7 compared across 53 shared prompts
SpecGPT-6.1 SolGrok 4.7
Input price$2/M tokens$1.6/M tokens
Output price$10/M tokens$4.8/M tokens
Context window1.1M tokens500K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$20.00$20.00$16.00$16.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
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
Grok 4.71 host
HostInOutContextUptime
  • xAI$2.00 in·$6.00 out·500k·97.3% up

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

Common questions

What is the difference between GPT-6.1 Sol and Grok 4.7?

GPT-6.1 Sol is developed by OpenAI while Grok 4.7 is developed by xAI. GPT-6.1 Sol has a 1.1M token context window vs Grok 4.7's 500K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Grok 4.7?

It depends on your use case. GPT-6.1 Sol and Grok 4.7 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-6.1 Sol cost compared to Grok 4.7?

GPT-6.1 Sol costs $2/M input tokens and Grok 4.7 costs $1.6/M input tokens. Grok 4.7 is $0.40/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 GPT-6.1 Sol and Grok 4.7 on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Grok 4.7 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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