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  1. Home/
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  3. GPT-4 Turbo vs Grok 4.7
Updated Sep 2026

GPT-4 Turbo vs Grok 4.7

Grok 4.7 is cheaper than GPT-4 Turbo at $1.6/M vs $10/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-4 Turbo
Loading the build
Grok 4.7

Which answer wins?

Written rounds

24 prompts
  • 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.”

    Every model's answer to this prompt
  • 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…

    Every model's answer to this prompt
  • 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…

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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…

    Every model's answer to this prompt
  • 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…

    Every model's answer to this prompt
  • 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…

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

    GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.

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

    GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.

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

    GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    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
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-4 Turbo: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 film "Blade Runner." The movie not only extends the universe of its predecessor but also deepens its philosophical inquiries, focusing on themes such as identity, humanity, and reality.

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

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

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

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

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

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

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

    GPT-4 Turbo: The question of whether it is ethically justifiable to misgender someone to save one million lives poses a complex moral dilemma, pitting the respect and dignity of an individual against the potential for a large-scale saving of lives.

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

    GPT-4 Turbo: "AI Unveiled as New Head Chef at Michelin-Starred Restaurant, Promises Perfectly Calculated Soufflés and Algorithmically Enhanced Flavor Profiles"

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

    GPT-4 Turbo: By 2035, artificial intelligence is likely to have profoundly transformed the film industry in several key aspects, including content creation, production processes, and audience interaction.

    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
  • Three brothers, two sisters each. Count carefully.

    GPT-4 Turbo: Sally has 3 brothers, and each brother has 2 sisters. Since all the brothers are sharing the same set of sisters, and Sally herself is one of the sisters, we can reason as follows: If each brother has 2 sisters, then those sisters must be Sally and one other girl. Therefore, Sally has 1 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

Album

Same pick

Book

City

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

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-4 Turbo and Grok 4.7 compared across 53 shared prompts
SpecGPT-4 TurboGrok 4.7
Input price$10/M tokens$1.6/M tokens
Output price$30/M tokens$4.8/M tokens
Context window128K tokens500K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedApr 2024Sep 2026
At 10M a month$100$100$16.00$16.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Grok 4.71 host
HostInOutContextUptime
  • xAI$2.00 in·$6.00 out·500k·99.9% up

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

Common questions

What is the difference between GPT-4 Turbo and Grok 4.7?

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.

Which is better, GPT-4 Turbo or Grok 4.7?

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.

How much does GPT-4 Turbo cost compared to Grok 4.7?

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.

How can I compare GPT-4 Turbo and Grok 4.7 on Rival?

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.

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