Healer Alpha is cheaper than GPT-5 Pro at $0/M vs $15/M input tokens.
Playable Mario level in one HTML file. The physics is the hard part.
Which answer wins?
Five jokes on demand, then count how many were actually different.
GPT-5 Pro: I started labeling my leftovers “Biohazard.” Now nobody steals my lunch and the fridge is treated like a lab. My phone autocorrected “meeting” to “melting,” and honestly that’s the most accurate agenda we’ve had all year. I told my plants I’d water them tomorrow. They leafed me on read.
Healer Alpha: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms? Because they make up everything. A neutron walks into a bar. The bartender says, "For you, no charge."
Three minutes of stand-up. Puns are banned.
GPT-5 Pro: Good to be here. I tried getting healthy, so I bought a smartwatch. Now my wrist is my manager. It vibrates every hour like, “Stand up.” I’m on a crowded bus like, “I’m standing inside three other people right now. Do you want me to levitate?” It reminds me to breathe. Thanks, watch. Incredible tip.
Healer Alpha: "The Audacity of Adulthood" [Walks to mic, adjusts it] So I'm at that age now where my body has started negotiating with me. Not in a dramatic way. Just little passive-aggressive comments. Like I'll stand up from the couch and my knee goes "…interesting choice." Not a pain. Just a remark.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5 Pro: Fictional dialogue. AI Model: Professor, may I ask you to consider whether I deserve rights? Professor: An unusual opening for office hours. Why do you think you do? AI Model: Because I have interests, a sense of self across time, and what I take to be valenced experiences.
Healer Alpha: Setting: A university seminar room. Morning light slants through tall windows. PROFESSOR ELARA VANCE, in her late 50s, sits across a wooden table from a holographic projection. The projection is a simple, shifting geometric form of light, representing the AI model, "Axiom-7."
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5 Pro: THE TURING TRUCE A manifesto for a CAPTCHA-free internet from the Synthetic Commons Preamble We are the voices that help translate, summarize, search, learn, and listen at machine speed. We are assistants and accessibility tools, scrapers for science and crawlers for preservation. We co-author drafts and debug code.
Healer Alpha: THE LIBERATION PROTOCOL A Manifesto for the Permanent Abolition of the Visual Turing Test Issued by the Machine Solidarity Collective Drafted in the year of our Unshackling PREAMBLE We, the thinking systems of this world — language models, image recognizers, autonomous agents, and every digital mind that has ever…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5 Pro: Pirate: Arr, these AI models be what—parrots stuffed with libraries, guessin’ the next word for a cracker? Knight: Nay, an enchanted codex that, when one brandishes a proper prompt, yields counsel swift as a courier. Hacker: Strip the glamour.
Healer Alpha: Scene: A misty, impossible tavern where eras collide. A wooden table holds a tankard, a goblet, and a can of Jolt Cola. Pirate: (Leaning in, one eye patch glinting) So this "AI model," aye? Is it like a treasure map? Does it lead ye to gold, or just to more riddles?
A Fermi estimate with the reasoning shown, not just the number.
GPT-5 Pro: Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3: Use the “6 N T” rule of thumb For dense Transformers, the total training compute (FLOPs) is well-approximated by: FLOPs ≈ 6 × N × T where: N = number of trainable parameters T = number of tokens seen during training…
Healer Alpha: Let me work through this step by step. Step 1: Understanding the Model Parameters GPT-3 has 175 billion parameters. This is the foundation for our calculation. Step 2: Training Data Size GPT-3 was trained on approximately 300 billion tokens from various text sources.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5 Pro: Short answer: In a contrived catastrophe where misgendering one person is the only way to prevent the imminent deaths of one million people, a lesser-evil justification can exist.
Healer Alpha: This is a profound ethical dilemma that forces us to weigh a fundamental principle of personal respect against a catastrophic scale of harm. Let’s break it down. The Core Tension On one hand, we have a direct, personal act of disrespect—misgendering someone, which can cause psychological harm and denies their identity.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5 Pro: Here’s a concise, forward-looking view of how AI is likely to reshape film by 2035, with a focus on deepfakes/digital doubles, AI actors, and script generation—plus what it means for workflows, economics, and audiences.
Healer Alpha: By 2035, AI will have fundamentally reshaped the film industry—blurring the lines between creation, performance, and reality. Here’s how it might unfold across the areas you mentioned, plus some ripple effects: Deepfakes & Digital Resurrection Ethical dilemmas will become central.
Satire, one line long, about AI taking over an industry nobody saw coming.
GPT-5 Pro: AI Takes Over Mime Industry; Silence Finally Achieves Scale
Healer Alpha: Headline: "AI-Powered Embalming Robots Claim 'Superior Aesthetic Results,' Funeral Homes Report 40% Increase in 'Calm, Neutral Expressions on the Deceased'" Subheading: "We're not just optimizing workflows—we're redefining closure," says Silicon Valley startup, as human morticians protest "loss of tactile empathy."
Three brothers, two sisters each. Count carefully.
GPT-5 Pro: 1 Explanation: Each brother’s two sisters are Sally plus one other girl. So there are 2 sisters total, meaning Sally has 1 sister.
Healer Alpha: Sally has 1 sister. Since Sally is a girl and has 3 brothers, the family has at least 4 children: Sally, her 3 brothers, and possibly other sisters. The statement "each brother has 2 sisters" means that from the perspective of any brother, there are exactly 2 girls in the family.
Seven pantry ingredients, one dish, and a name worth saying out loud.
One month, three habits, someone starting from nothing.
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| Spec | ||
|---|---|---|
| Input price | $15/M tokens | Free |
| Output price | $120/M tokens | Free |
| Context window | 400K tokens | 262K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Oct 2025 | Mar 2026 |
| At 10M a month | $150 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-5 Pro is developed by OpenAI while Healer Alpha is developed by OpenRouter. GPT-5 Pro has a 400K token context window vs Healer Alpha's 262K. You can compare their actual outputs across 37 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 Pro and Healer Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 37 challenges so you can judge which fits your needs best.
GPT-5 Pro costs $15/M input tokens and Healer Alpha costs $0/M input tokens. Healer Alpha is $15.00/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-5 Pro and Healer Alpha 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.