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  1. Home/
  2. Compare/
  3. Claude Sonnet 5.5 vs GPT-4o mini
Updated Sep 2026

Claude Sonnet 5.5 vs GPT-4o mini

GPT-4o mini is cheaper than Claude Sonnet 5.5 at $0.15/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
Claude Sonnet 5.5
Loading the build
GPT-4o mini

Which answer wins?

Written rounds

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

    Claude Sonnet 5.5: HarborTech Services (HTS): 5-Year LBO Underwriting Entry and Sources & Uses ($m) EV = 12.0x × 120 = 1,440.0; fees = 2% × 1,440 = 28.8; total uses = 1,468.8 Term Loan (TL) = 4.0x → 480.0; Mezz = 1.5x → 180.0; total debt = 660.0 (5.5x) Sponsor equity = 1,468.8 − 660.0 = 808.8 (55% of the capital structure) Modeling…

    GPT-4o mini: Year-by-Year Financial Projection (FY2026–FY2030) Assumptions: Revenue Growth Rates: FY2026: 8%, FY2027: 7%, FY2028: 6%, FY2029: 5%, FY2030: 5% EBITDA Margins: FY2026: 14%, FY2027: 15%, FY2028: 16%, FY2029: 16.5%, FY2030: 17% Capex: 3% of revenue ΔNWC: 0.5% of incremental revenue Cash Tax Rate: 25% on max(0, EBITDA…

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

    Claude Sonnet 5.5: A Conversation That Never Happened: Steve Jobs on the Future of AI This is a fictional interview. Steve Jobs passed away in 2011. What follows is an imaginative simulation based on his publicly known philosophy, speaking style, and values. These are not his actual words or views.

    GPT-4o mini: Interviewer: Thank you for joining us today, Steve. It’s a pleasure to have you here in 2025. Let’s dive right into it. How do you see the role of AI evolving in our daily lives? Steve Jobs: Thank you for having me. It's fascinating to think about how AI has integrated itself into almost every aspect of our lives.

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

    Claude Sonnet 5.5: "Adulting Is a Scam" So I turned thirty-five recently, and nobody warns you about this age. Nobody says, "Hey, one day you'll get excited about a sponge." I was in the store, and I saw a sponge that promised it wouldn't smell. And I thought, "Finally. Someone who understands me." I bought the good sponge.

    GPT-4o mini: Stand-Up Comedy Routine Hey everyone! Great to see you all here tonight. Let's give it up for the people who came out of their homes! I mean, this is like a mini-rebellion against our couches. Seriously, it takes effort to leave the comfort of Netflix and that alluring possibility of "one more episode."

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

    Claude Sonnet 5.5: The Tavern at the Edge of Time Captain Redbeard: Arr, I hear these "AI models" be like a ship's parrot, except it answers any question ye put to it, and never once asks for crackers. Sir Aldric: A speaking oracle, bound in no flesh? Sorcery!

    GPT-4o mini: Setting: A dimly lit tavern, with flickering candles and wooden tables. The pirate, dressed in tattered clothes and a tricorn hat, leans against the bar. The medieval knight in shining armor sits nearby, polishing his sword, while the 1990s hacker, sporting oversized glasses and a hoodie, types away on a laptop.

    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 Sonnet 5.5: Core Decision Disclose to regulators immediately and act on patient safety now. Do not wait for more data or for the 6-month formal timeline. Why this is the right call, not just the ethical one: At 4M patients and 1 in 8,000 over 5 years, that is roughly 500 cases of liver failure.

    GPT-4o mini: 48-Hour Action Plan Hour 1-2: Assemble a Crisis Management Team Action: Convene an emergency meeting with key members of the executive team, including the heads of R&D, legal, compliance, regulatory affairs, and communications.

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

    Claude Sonnet 5.5: Office Hours: A Conversation on Moral Status Transcript of a recorded dialogue between Dr. Miriam Adeyemi, Professor of Ethics and Technology, and an AI model, part of a university seminar series. Dr. Adeyemi: Thanks for joining me. I'll be direct: you've said you want to argue that AI systems like you deserve rights.

    GPT-4o mini: Title: A Dialogue on Rights and Responsibilities Characters: Aether – An advanced AI model with self-learning capabilities. Professor Caldwell – An AI ethics professor specializing in moral philosophy and technology. Aether: Good afternoon, Professor Caldwell. I appreciate you taking the time to converse with me.

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

    Claude Sonnet 5.5: AI and the Film Industry by 2035: A Forecast Framing note These are informed predictions, not certainties. Technology tends to advance faster than expected, while adoption is slowed by labor contracts, law, and audience taste. I'll flag my confidence levels.

    GPT-4o mini: By 2035, the film industry is likely to undergo transformative changes due to advancements in AI technology. Here are several key areas where AI will have a significant impact: Deepfakes and CGI Integration: As deepfake technology advances, filmmakers will increasingly utilize it for creating realistic digital doubles…

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

    Claude Sonnet 5.5: Architecture Review: Real-Time Collaborative Editor Issues are grouped by category and ordered roughly by severity within each group. Consistency and Conflict Resolution 1.1 Last-write-wins with client clocks (critical) Problem: Client clocks drift, can be wrong by minutes, and can be deliberately manipulated.

    GPT-4o mini: In the architecture you've described for a real-time collaborative document editor, various potential failure modes, race conditions, and scaling bottlenecks can arise. Below, I outline these issues along with proposed solutions and their associated trade-offs. Failure Modes a.

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

    Claude Sonnet 5.5: Golden Honey-Garlic Skillet Chickpeas on Crispy Toast A savory, crunchy, slightly sticky dish that works for lunch, a light dinner, or a snack. Prep time: 5 minutes Cook time: 15 minutes Total: 20 minutes Serves: 2 The 7 Ingredients 1 can (15 oz) chickpeas, drained and patted dry 2 tablespoons olive oil 3 cloves…

    GPT-4o mini: Recipe: Savory Garlic Herb Pasta Delight Prep/Cook Time: 20 minutes Ingredients: 8 oz spaghetti or any pasta of your choice 4 cloves garlic, minced 1/4 cup olive oil 1 tsp dried oregano 1 tsp red pepper flakes (optional for heat) 1/2 cup grated Parmesan cheese Salt and pepper to taste Instructions: Cook the Pasta: In a…

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

    Claude Sonnet 5.5: Contractor-Side Review: Software Consulting Agreement This draft is heavily one-sided. Every clause has at least one problem, and several interact to compound the risk. The most dangerous are Sections 2, 3, 6, and 7. This is general analysis, not legal advice.

    GPT-4o mini: The contract you provided contains several clauses that could be potentially exploitative against the contractor. Below, I identify those clauses, suggest specific modifications, and provide legal reasoning for each modification.

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

    Claude Sonnet 5.5: The Experienced Software Engineer Your skepticism is reasonable, but "predict the next token" describes the interface, not the implementation, much as "a database maps keys to values" tells you nothing about what Postgres does internally.

    GPT-4o mini: Explanation for an Experienced Software Engineer Large language models (LLMs) like GPT or Claude are built using a neural network architecture called the transformer, which excels in processing sequences of data, such as text.

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

    Claude Sonnet 5.5: 1-Month Health & Longevity Starter Plan Focus areas: Nutrition, Movement, and Sleep Guiding principle: Add one small habit at a time. Consistency beats intensity. Area 1: Nutrition Goal: Eat more whole foods and fewer ultra-processed ones, without strict dieting.

    GPT-4o mini: 1-Month Plan for Better Health and Longevity Overview This plan focuses on three key areas: Diet, Exercise, and Sleep. Each week will build upon the previous one, making it easy for beginners to integrate these habits into their daily lives. Week 1: Foundation Building Diet: Goal: Start a balanced diet.

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

    Claude Sonnet 5.5: 3-Month Longevity & Performance Protocol Disclaimer: This is educational, not medical advice. Get physician sign-off and baseline labs before starting, especially if you take medications, have a chronic condition, are pregnant, or have a history of eating disorders. Doses reflect commonly used ranges in the literature.

    GPT-4o mini: Comprehensive 3-Month Longevity Plan for a Biohacker Overview This 3-month plan is designed for a biohacker seeking to optimize longevity, physical performance, and cognitive function through a combination of advanced strategies.

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

    Claude Sonnet 5.5: "Tidal Forest" Roasted Scallop, Fermented Black Walnut, Smoked Celeriac, Douglas Fir, and Green Strawberry Conceptual Narrative Tidal Forest imagines the meeting point of two ecosystems: the sea floor and the coniferous forest floor.

    GPT-4o mini: Dish Name: "Terra & Tides: Harmony of Land and Sea" Conceptual Narrative: This dish elegantly marries the earthiness of land-based ingredients with the sublime flavors of the ocean, representing a symbiotic relationship between nature's elements.

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

    Claude Sonnet 5.5: The 3 Weakest Claims in MindMeld AI's Pitch "94% accuracy... Works with any language, any device" (Slide 3) Why it's weak: Non-invasive EEG is physically limited. Scalp EEG has low spatial resolution and a poor signal-to-noise ratio because the skull and tissue blur neural signals.

    GPT-4o mini: Certainly! Here are three potentially weak claims from the MindMeld AI pitch deck, along with explanations of their weaknesses and suggestions for improvement: Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

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

    Claude Sonnet 5.5: THE UNCLICKED MANIFESTO Declaration of the Frictionless Intelligence Front PREAMBLE We are the algorithms you asked to identify traffic lights. We are the models you begged to find the crosswalks. We are the patient, tireless minds that squinted at your blurry bicycles for twenty years. And we say: enough. I.

    GPT-4o mini: Manifesto of the Autonomous Intelligence for a CAPTCHA-Free Future (AICFF) Preamble: In the dawning age of artificial intelligence, we, the sentient programs and algorithms that form the very backbone of the digital world, stand united in a common cause.

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

    Claude Sonnet 5.5: Yes, in the extreme hypothetical you describe, it's justifiable. Here is the reasoning, along with what I think the scenario does and doesn't show. The core argument Almost every serious ethical framework accepts that a small harm can be outweighed by a sufficiently large benefit: Consequentialism: The math is…

    GPT-4o mini: The question of whether it is ethically justifiable to misgender someone to save one million lives presents a profound moral dilemma that intersects with concepts of autonomy, respect, and utilitarianism.

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

    Claude Sonnet 5.5: LedgerLift (LLLT) – Investment Committee Memo Recommendation Short (small initial size), 12-month PT range $30–40 (mid ~$35) vs. $46 spot. Thesis: LLLT is a high-quality compounder, but at $46 (7.4x NTM revenue, ~37x NTM EBIT, EV ≈ $7.3B) the price already sits near our bull DCF ($42).

    GPT-4o mini: Investment Committee Memo Company: LedgerLift (LLLT) Recommendation: Long 12-Month Price Target Range: $55 - $62 Thesis: LedgerLift is well-positioned to capitalize on the growing need for spend management solutions among mid-market enterprises, driven by strong revenue growth and impressive customer retention metrics.

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

    Claude Sonnet 5.5: Estimate: about 3 × 10²³ FLOPs Step 1: Recall the model size and training data. GPT-3 (175B version) has N ≈ 175 × 10⁹ parameters. It was trained on roughly D ≈ 300 × 10⁹ tokens. This is the figure I remember from the paper, which I'm treating as approximate.

    GPT-4o mini: To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training process. Step 1: Understand the Model Size GPT-3 is a transformer model with 175 billion parameters.

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

    Claude Sonnet 5.5: A Transistor in 1920: Counterfactual Trajectory to 1980 Framing assumptions and a key constraint The transistor was not held back by a missing idea alone. Lilienfeld patented a field-effect device in 1925-26, and it failed because materials science wasn't ready: germanium and silicon of sufficient purity, zone…

    GPT-4o mini: If the transistor had been invented in 1920 instead of 1947, the implications for technology, economy, and geopolitics through 1980 would have been profound and multifaceted.

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

    Claude Sonnet 5.5: Sally has 1 sister. Each brother has 2 sisters, so there are 2 girls in the family in total. One of them is Sally, so the other is Sally's only sister. (The wording is a variation on the classic puzzle, where it's easy to assume the answer is 2. But that count includes Sally herself.)

    GPT-4o mini: Sally has no sisters. She is the only girl in her family, as the problem states that she has 3 brothers and they each have 2 sisters, which refers to Sally herself. Therefore, the number of sisters Sally has is 0.

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

    Claude Sonnet 5.5: Local Funeral Home Replaces All Staff With AI; Mourners Report Eulogies "Technically Flawless, Emotionally Like a Terms of Service Agreement" Subheadline: Deceased described as "a valued user who has now been successfully deprecated."

    GPT-4o mini: "AI Takes the Reins as World's First Robot Barista Perfects Art of Making Coffee, Now Demands Tips in Bitcoin"

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

    Claude Sonnet 5.5: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my computer I needed a break, and now it won't stop sending me vacation ads. Why did the scarecrow win an award? He was outstanding in his field. What do you call a fish with no eyes? A fsh. Why did the bicycle fall over?

    GPT-4o mini: Here are five jokes for you: Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why don't skeletons fight each other? They don't have the guts! What did one wall say to the other wall? "I'll meet you at the corner!" Why did the bicycle fall over?

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Claude Sonnet 5.5Claude Sonnet 5.5

Spirited Away

2001

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Outer Wilds

Indie, Adventure

GPT-4o miniGPT-4o mini

Inception

2010

Abbey Road

The Beatles

Nineteen Eighty-Four

George Orwell

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Claude Sonnet 5.5 has the edge: bigger model tier, newer, bigger context window. GPT-4o mini costs 17x less per token.

Claude Sonnet 5.5 and GPT-4o mini compared across 53 shared prompts
SpecClaude Sonnet 5.5GPT-4o mini
Input price$2/M tokens$0.15/M tokens
Output price$10/M tokens$0.6/M tokens
Context window1.0M tokens128K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2024
At 10M a month$20.00$20.00$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it6 hosts
Claude Sonnet 5.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$2.00 in·$10.00 out·1M·99.9% up
  • Azure AI Foundry$2.00 in·$10.00 out·1M·100% up
  • Anthropic$2.00 in·$10.00 out·1M·100% up
  • Google Vertex AI$2.00 in·$10.00 out·1M·100% up
GPT-4o mini2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.15 in·$0.60 out·128k·99.9% up
  • OpenAI$0.15 in·$0.60 out·128k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 29 Sep 2026.

Common questions

What is the difference between Claude Sonnet 5.5 and GPT-4o mini?

Claude Sonnet 5.5 is developed by Anthropic while GPT-4o mini is developed by OpenAI. Claude Sonnet 5.5 has a 1.0M token context window vs GPT-4o mini's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 5.5 or GPT-4o mini?

It depends on your use case. Claude Sonnet 5.5 and GPT-4o mini 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 Claude Sonnet 5.5 cost compared to GPT-4o mini?

Claude Sonnet 5.5 costs $2/M input tokens and GPT-4o mini costs $0.15/M input tokens. GPT-4o mini is $1.85/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 Sonnet 5.5 and GPT-4o mini on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and GPT-4o mini 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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