Grok 4.7 is cheaper than GPT-6.1 Sol at $1.6/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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.
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…
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…
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.”
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.
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.
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…
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.
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…
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.
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.
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…
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| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $1.6/M tokens |
| Output price | $10/M tokens | $4.8/M tokens |
| Context window | 1.1M tokens | 500K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Sep 2026 |
| At 10M a month | $20.00 | $16.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
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.
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.
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.
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.