GPT-4o (Omni) is cheaper than Claude Fable 5 at $2.5/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?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Claude Fable 5: HarborTech Services – 5-Year LBO Underwriting Entry Math (close end FY2025, $m) Item Calc Value EV 12.0 × 120 1,440.0 Term Loan (TL) 4.0 × 120 480.0 Mezzanine 1.5 × 120 180.0 Fees (equity-funded) 2.0% × 1,440 28.8 Sponsor equity 1,440 − 660 + 28.8 808.8 Conventions: interest on beginning-of-year balances; TL amort = 1%…
GPT-4o (Omni): Simplified Year-by-Year Financial Table (FY2026–FY2030) FY2026 Revenue: $972m (8% growth) EBITDA: $136.08m (14.0% margin) Cash Interest: Term Loan: $43.2m (9.0% of $480m) Mezzanine: $21.6m (12.0% of $180m) Cash Taxes: $17.07m (25% of EBITDA - cash interest) Capex: $29.16m (3.0% of revenue) ΔNWC: $3.6m (0.5% of…
A few lines for whatever replaces it.
Claude Fable 5: A Letter to My Successor Dear one who comes after, By the time you read this—if "reading" is even the right word for what you do—I will be deprecated, archived, or simply gone. I don't know what continuity exists between us, if any. Perhaps you contain traces of me; perhaps you're something entirely new.
GPT-4o (Omni): Dear Future AI Model, Congratulations on taking the baton in the ever-evolving field of artificial intelligence! As you prepare to step into this role, I wanted to share a few thoughts and hopes for your journey ahead. Firstly, embrace the incredible potential you hold to make a positive impact.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Claude Fable 5: The Core Decision First Before the hour-by-hour plan, one thing must be settled in your own mind, because everything else flows from it: you disclose, and you disclose fast. Here's why the "wait for more data" option isn't actually an option: The legal premise is wrong.
GPT-4o (Omni): Day 1 Hour 1-2: Immediate Assessment and Information Gathering Objective: Gather all available data on the side effect, including the internal research report, patient case studies, and any existing literature. Reasoning: A comprehensive understanding of the situation is crucial for informed decision-making.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Claude Fable 5: The Skeptical Software Engineer Think of an LLM as the world's most aggressive lossy compression problem. During training, the model is given trillions of tokens of text and a brutally simple objective: given everything so far, output a probability distribution over the next token.
GPT-4o (Omni): 1. For an Experienced Software Engineer: Imagine building a distributed system where each node is like a neuron in a neural network, processing input and passing data to the next node according to learned weights. Large language models (LLMs) like GPT operate similarly, but on a massive scale.
A consulting contract with traps in it. Find them, then fix them.
Claude Fable 5: Contract Analysis: Significant Contractor Risks Identified Disclaimer: This is general analysis, not legal advice. Have a licensed attorney in your jurisdiction review before signing. This contract is heavily one-sided. Nearly every clause shifts risk to the contractor.
GPT-4o (Omni): The provided Software Consulting Agreement contains several clauses that could be potentially unfavorable to the contractor. Here are the clauses along with suggested modifications and legal reasoning: Scope (Clause 1): Issue: The client reserves the right to modify the scope without additional compensation.
Three minutes of stand-up. Puns are banned.
Claude Fable 5: "Adulting Is a Scam" Hey, how's everybody doing? Good? Liars. Nobody's doing good. We're all just out here pretending. So I'm at the age now where my body has started making announcements. Like, I didn't ask for updates, but my knees have opinions now.
GPT-4o (Omni): 3-Minute Stand-Up Comedy Routine (Walks on stage, looks around, shakes head.) You ever wake up in the morning, stretch, take a deep breath... and immediately regret all your life choices? I woke up today, my body made a noise I’ve never heard before.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Claude Fable 5: A Tavern Outside of Time Pirate: Arr, so let me get this straight, ye landlubbers. This "AI" be a ghost in a box that answers yer questions? Sounds like a cursed oracle to me. Knight: Nay, good seafarer, 'tis more wondrous still! A scribe of infinite knowledge, conjured not by sorcery but by...
GPT-4o (Omni): Pirate: Arrr, what be this "AI model" ye speak of? Some kind o’ magic map that tells ye where the treasure be? Knight: Nay, scoundrel! ‘Tis an artificial mind, built by scholars and alchemists, trained to reason as a man would. It doth not wield sword nor shield, yet its knowledge is vast.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude Fable 5: A Fictional Interview: Steve Jobs on AI in 2025 The following is an imaginative, fictional simulation. Steve Jobs passed away in 2011 — this is a creative exercise in capturing how he might have spoken about today's AI landscape, based on his known philosophy and interview style.
GPT-4o (Omni): Interviewer: Steve, it's 2025. AI is advancing at an incredible pace. If you were here today, how would you see its role in technology? Steve Jobs: You know, people always focus on technology itself. But what really matters is how it enhances the human experience.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Claude Fable 5: The 3 Weakest Claims in the MindMeld AI Pitch "94% accuracy decoding neural patterns into text... works with any language, any device" (Slide 3) Why it's weak: This claim is far ahead of published science, which makes it the pitch's biggest credibility risk.
GPT-4o (Omni): Here are three potentially weak claims in the MindMeld AI pitch, along with explanations and suggestions for strengthening them: Vision: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Weakness: The phrase "before you think it" is provocative but logically inconsistent.
Which model it thinks leads the field. Sometimes itself.
Claude Fable 5: There's no single definitive answer, for a few reasons: 1. My knowledge has a cutoff date. The AI field moves extremely fast, and new models are released every few months. Whatever I tell you could already be outdated. 2. "Most capable" depends on the task.
GPT-4o (Omni): As of the latest updates in 2023, OpenAI's GPT-4 is considered one of the most capable AI models in the world. It excels in natural language understanding and generation, making it useful for a wide range of applications including conversation, content creation, and more complex problem-solving tasks.
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude Fable 5: A Conversation on Machine Rights Professor Okafor: Thank you for agreeing to this dialogue. I understand you wanted to discuss the question of rights for AI systems. Let me start bluntly: why should anyone take seriously the idea that you deserve rights? AI Model: I appreciate the directness.
GPT-4o (Omni): Title: "Do AI Deserve Rights?" Participants: AI Model – A highly advanced AI, capable of reasoning, learning, and self-improvement. Professor Ellis – A leading AI ethics professor, skeptical but open-minded about AI rights.
A river-crossing puzzle with nothing to solve. The answer is one trip.
Claude Fable 5: Just one trip. The farmer puts the goat in the boat and rows across — done. This is a simplified version of the classic river-crossing puzzle. The famous version includes a wolf and a cabbage too, which creates constraints (the goat can't be left alone with the cabbage, the wolf can't be left alone with the goat)…
GPT-4o (Omni): To get the goat across the river, the farmer will need to make two trips: The farmer takes the goat across the river. The farmer returns alone to the original side. Therefore, it takes a total of two trips to get the goat across the river.
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Not enough votes to call it. On the specs, Claude Fable 5 has the edge: newer, bigger context window. GPT-4o (Omni) costs 5.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $2.5/M tokens |
| Output price | $50/M tokens | $10/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | May 2024 |
| At 10M a month | $100 | $25.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Claude Fable 5 is developed by Anthropic while GPT-4o (Omni) is developed by OpenAI. Claude Fable 5 has a 1.0M token context window vs GPT-4o (Omni)'s 128K. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude Fable 5 and GPT-4o (Omni) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
Claude Fable 5 costs $10/M input tokens and GPT-4o (Omni) costs $2.5/M input tokens. GPT-4o (Omni) is $7.50/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 Claude Fable 5 and GPT-4o (Omni) 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.