Grok 4.7 is cheaper than GPT-4 Turbo at $1.6/M vs $10/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...
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.”
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.
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…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.
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…
Five jokes on demand, then count how many were actually different.
GPT-4 Turbo: Sure, here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call fake spaghetti? An impasta! Why couldn’t the bicycle stand up by itself? It was two-tired. What do you call cheese that isn't yours? Nacho cheese! How do you organize a space party? You planet.
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.
A consulting contract with traps in it. Find them, then fix them.
GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?
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.
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…
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-star dish, one unusual pairing, plating described in full.
GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.
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…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.
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 | $10/M tokens | $1.6/M tokens |
| Output price | $30/M tokens | $4.8/M tokens |
| Context window | 128K tokens | 500K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Apr 2024 | Sep 2026 |
| At 10M a month | $100 | $16.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-4 Turbo is developed by OpenAI while Grok 4.7 is developed by xAI. GPT-4 Turbo has a 128K 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-4 Turbo 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-4 Turbo costs $10/M input tokens and Grok 4.7 costs $1.6/M input tokens. Grok 4.7 is $8.40/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-4 Turbo 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.