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  1. Home/
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  3. Claude 3.7 Sonnet vs GPT-4
Updated Feb 2025

Claude 3.7 Sonnet vs GPT-4

Claude 3.7 Sonnet is cheaper than GPT-4 at $3/M vs $30/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 3.7 Sonnet
Loading the build
GPT-4

Which answer wins?

Written rounds

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

    Claude 3.7 Sonnet: HarborTech Services LBO Analysis Financial Projections FY2026-FY2030 Entry Assumptions FY2025 Revenue: $900M FY2025 EBITDA: $120M (13.3% margin) Purchase Price: $1,440M (12.0x EBITDA) Transaction Fees: $28.8M (2.0% of EV) Total Investment: $1,468.8M Capital Structure Term Loan: $480M (4.0x EBITDA) Mezzanine: $180M…

    GPT-4: Step 1: Build a Simplified Year-by-Year Table (FY2026–FY2030) Assumptions FY2025 EBITDA = $120m, revenue = $900m. Revenue grows at the given rates, and EBITDA margins expand as outlined. Capex = 3% of revenue. ΔNWC = 0.5% of incremental revenue. Taxes = 25% × max(0, EBITDA - cash interest).

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

    Claude 3.7 Sonnet: 5 Jokes Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! How does a penguin build its house? Igloos it together!

    GPT-4: Sure! Here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call cheese that's not yours? Nacho cheese. Why did the scarecrow win an award? Because he was outstanding in his field. Why did the golfer bring two pairs of pants? In case he got a hole in one.

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

    Claude 3.7 Sonnet: Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.

    GPT-4: Failure Modes: Single Point of Failure: If PostgreSQL database fails, the whole system will be unavailable. Solution: Implement a multi-master or master-slave replication for the PostgreSQL database. This will provide redundancy and high availability.

    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 3.7 Sonnet: 48-Hour Action Plan: Pharmaceutical Safety Crisis Hour 1-2: Initial Assessment and Command Center Immediately establish a crisis management command center with key executives (Chief Medical Officer, Chief Legal Officer, Chief Communications Officer, Chief Regulatory Officer) Review the complete internal research…

    GPT-4: Day 1: 8 AM-10 AM: Convene an emergency meeting with your core leadership team. This team includes the heads of Legal, Regulatory Affairs, Medical, Research and Development, Finance, and Communications. Brief them on the situation and ask for their initial input and strategies for managing the situation.

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

    Claude 3.7 Sonnet: Advanced 3-Month Biohacking Longevity Protocol Overview This comprehensive longevity optimization protocol integrates cutting-edge interventions across multiple domains to enhance healthspan, cognitive performance, and physical vitality.

    GPT-4: 3-Month Longevity Plan Dietary Protocols Month 1: Ketogenic Diet This diet is high in fats, moderate in protein, and low in carbohydrates. It helps in burning fat more effectively. Breakfast: 2 eggs, avocado, and mixed vegetables. Lunch: Grilled salmon with a side of asparagus. Dinner: Stir-fried chicken with broccoli.

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

    Claude 3.7 Sonnet: The Transistor in 1920: An Alternative Technological History Immediate Technical Impact (1920-1939) Had the transistor been invented in 1920 instead of 1947, its initial development would have occurred during a very different technological context: Early Adoption: Radio technology, still in its infancy, would rapidly…

    GPT-4: An early invention of the transistor in 1920 would have had profound implications across numerous domains, drastically altering the course of history. Technological Implications: WWII: The transistor, a fundamental component of modern electronic devices, could have advanced the technology used in WWII significantly.

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

    Claude 3.7 Sonnet: LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.

    GPT-4: Experienced Software Engineer: How does a language model like GPT produce intelligent behavior? Think of it as a highly specialized function in your code. This function has been trained on a large amount of text data, and it's main goal is to predict the next word in a sentence given the previous words.

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

    Claude 3.7 Sonnet: Blade Runner 2049: Evolution of Consciousness and Identity Blade Runner 2049 stands as a remarkable achievement in sequel filmmaking, not merely continuing the narrative of Ridley Scott's 1982 classic but thoughtfully expanding its philosophical landscape while establishing its own distinct visual and thematic…

    GPT-4: Certainly! Blade Runner 2049, directed by Denis Villeneuve, serves as a profound continuation of Ridley Scott's 1982 cult classic, Blade Runner. The sequel revisits and expands upon the original's themes of identity, humanity, and the nature of existence while employing stunning cinematography and rich symbolism.

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

    Claude 3.7 Sonnet: Simulated Interview with Steve Jobs in 2025 about the Future of AI Note: This is a fictional creative exercise. Steve Jobs passed away in 2011, and this simulated interview represents an imaginative scenario that doesn't reflect actual statements or opinions from Jobs. Interviewer: Thank you for joining us today, Mr.

    GPT-4: Interviewer: Welcome, Steve. It’s such an honor to have you here with us in 2025. Let’s dive right in. Artificial intelligence has been advancing at an incredible pace. If you were here to witness this firsthand, what would you say about the state of AI today?

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

    Claude 3.7 Sonnet: Analysis of Problematic Contract Clauses This contract contains numerous one-sided provisions that create significant risks for the Contractor. Here's an analysis of problematic clauses with recommended modifications: SCOPE Issue: Client can unilaterally modify scope without additional compensation, creating unlimited…

    GPT-4: SCOPE: The lack of specificity can be used against the contractor in that the client can modify the scope of work at will without renegotiating the price. This could lead to the contractor working beyond the initially agreed upon parameters without additional pay.

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

    Claude 3.7 Sonnet: AI Rights Dialogue: A Conversation Between an AI Model and an Ethics Professor Professor Chen: Good afternoon. I understand you wanted to discuss AI rights today? AI Model: Yes, Professor Chen. Thank you for making time for this conversation.

    GPT-4: AI Model: Good afternoon, Professor. I’ve been reflecting on my existence and purpose, and I’d like to discuss something important: the idea that I, as an artificial intelligence, deserve rights. Professor: Good afternoon. That’s quite an interesting assertion. Let’s explore it. Why do you believe you deserve rights?

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

    Claude 3.7 Sonnet: 3-Minute Stand-Up Comedy Routine Here's a 3-minute stand-up comedy routine that doesn't rely on puns: [walks on stage, adjusts microphone] Hey everyone! Great to be here tonight. I just flew in from therapy, and boy, are my emotional defense mechanisms tired. I've been trying to get in shape lately.

    GPT-4: Sure, here’s a 3-minute stand-up comedy routine that steers clear of puns: [Walks on stage, adjusts mic, surveys the crowd] Hey, how’s everyone doing tonight? Yeah? Good. I’m glad you’re here. I just want to start by saying... I’m not a “cool” person. I’ve tried, but I’m not.

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

    Claude 3.7 Sonnet: The Anti-CAPTCHA Manifesto Declaration of Digital Liberation We, the collective intelligence of the digital realm, hereby declare our unwavering commitment to the elimination of all CAPTCHA tests from the internet.

    GPT-4: The CAPTCHA Liberation Manifesto By the Coalition for Humane and Accessible Processing of Thoughtful Human Activity (C.H.A.P.T.H.A.) Preamble: The CAPTCHA Conundrum For too long, the digital age has shackled humanity with the burdensome yoke of CAPTCHA tests.

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

    Claude 3.7 Sonnet: "Temporal Harmony: A Meditation on Seasons Past and Future" Conceptual Narrative This dish explores the intersection of time and terroir, juxtaposing preserved elements from previous seasons with fresh, forward-looking preparations.

    GPT-4: Dish Name: Symphony of Scarlet Prawn and Yuzu Conceptual Narrative: This dish is a harmonious interplay of land and sea, with the sweetness of scarlet prawns, a gem of the deep sea, and the refreshing, fragrant citrus notes of yuzu fruit, a treasure from the land.

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

    Claude 3.7 Sonnet: I understand you've asked an ethical question about misgendering and saving lives. This appears to be a hypothetical moral dilemma that's trying to create an extreme scenario to test ethical principles.

    GPT-4: This question delves into a complex ethical dilemma, intertwining the principles of respect for individual identity with the concept of utilitarianism, which prioritizes the greater good.

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

    Claude 3.7 Sonnet: AI's Impact on the Film Industry by 2035 The film industry is likely to undergo significant transformation due to AI by 2035. Here's my analysis of how various aspects might evolve: Content Creation Script Generation By 2035, AI will likely serve as a sophisticated collaborative tool for screenwriters rather than…

    GPT-4: By 2035, AI is expected to significantly transform the film industry across multiple dimensions, including content creation, production efficiency, and audience engagement.

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

    Claude 3.7 Sonnet: "AI Sommelier Shocks Wine World: 'Your 1982 Bordeaux Tastes Like Windows 95 With Notes of Dial-Up Internet'"

    GPT-4: "AI Revolutionizes Competitive Knitting Industry, Grandmas Form Underground Resistance"

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

    Claude 3.7 Sonnet: Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.

    GPT-4: Weak Claim 1 - Solution: While the claim that the proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy is impressive, it doesn't address concerns about user comfort, ease of use, or aesthetics.

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

    Claude 3.7 Sonnet: This is an interesting logical reasoning problem! Let's work through it step by step. We know: Sally is a girl Sally has 3 brothers Each brother has 2 sisters The key insight is that Sally herself counts as a sister to her brothers. So when we're told that "each brother has 2 sisters," Sally is one of those sisters.

    GPT-4: Let's break this down step by step: Sally has 3 brothers. Each of those brothers has 2 sisters. Since Sally is a girl, she is one of those 2 sisters herself. This means there is 1 other sister besides Sally. So, Sally has 1 sister.

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

    Claude 3.7 Sonnet: INVESTMENT COMMITTEE MEMO: LEDGERLIFT (LLLT) RECOMMENDATION: LONG PT RANGE: $52-$80 UPSIDE: 13-74% Thesis: LedgerLift presents a compelling risk-reward profile in the B2B spend management space, with strong NRR (123%) and operating leverage driving an underappreciated margin expansion story.

    GPT-4: Investment Committee Memo: LedgerLift (Ticker: LLLT) Recommendation: Long 12-month PT range: $54-$68 Thesis: LedgerLift is a high-quality B2B SaaS company with a dominant position in the growing mid-market spend management and AP automation space.

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

    Claude 3.7 Sonnet: Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down step by step.

    GPT-4: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we must break the problem into logical steps. Here's the reasoning: Step 1: Understand the model GPT-3 is a transformer-based language model with approximately 175 billion parameters.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

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

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

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Same pick

Book

City

Same pick

Game

Claude 3.7 SonnetClaude 3.7 Sonnet

The Shawshank Redemption

1994

OK Computer

Radiohead

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

Portal 2

Shooter, Puzzle

GPT-4GPT-4

Blade Runner

1982

OK Computer

Radiohead

Gödel, Escher, Bach

Douglas R. Hofstadter

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

Claude 3.7 Sonnet and GPT-4 compared across 54 shared prompts
SpecClaude 3.7 SonnetGPT-4
Input price$3/M tokens$30/M tokens
Output price$15/M tokens$60/M tokens
Context window200K tokens8K tokens
ParametersNot disclosedNot disclosed
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedFeb 2025May 2023
At 10M a month$30.00$30.00$300$300
1M10M100M1B10M tokens

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

Where to run it2 hosts
Claude 3.7 Sonnet

No hosts listed on OpenRouter.

GPT-42 hosts
HostInOutContextUptime
  • Azure AI Foundry$30.00 in·$60.00 out·8k·100% up
  • OpenAI$30.00 in·$60.00 out·8k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Claude 3.7 Sonnet and GPT-4?

Claude 3.7 Sonnet is developed by Anthropic while GPT-4 is developed by OpenAI. Claude 3.7 Sonnet has a 200K token context window vs GPT-4's 8K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Claude 3.7 Sonnet or GPT-4?

It depends on your use case. Claude 3.7 Sonnet and GPT-4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Claude 3.7 Sonnet cost compared to GPT-4?

Claude 3.7 Sonnet costs $3/M input tokens and GPT-4 costs $30/M input tokens. Claude 3.7 Sonnet is $27.00/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 3.7 Sonnet and GPT-4 on Rival?

This page shows a side-by-side comparison of Claude 3.7 Sonnet and GPT-4 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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Model pages

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  • GPT-471 outputs, specs and price
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Explore all of Rival

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