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  1. Home/
  2. Compare/
  3. GPT-5.6 Terra vs Healer Alpha
Updated Jul 2026

GPT-5.6 Terra vs Healer Alpha

Healer Alpha is cheaper than GPT-5.6 Terra at $0/M vs $2.5/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
GPT-5.6 Terra
Loading the build
Healer Alpha

Which answer wins?

Written rounds

22 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-5.6 Terra: Golden Crunch Cinnamon Toast Bites Ingredients (7 pantry staples): Bread slices Butter Sugar Ground cinnamon Salt Vanilla extract Honey Prep time: 5 minutes Cook time: 8 minutes Total time: 13 minutes Instructions Make cinnamon sugar: In a small bowl, mix 2 tablespoons sugar, 1 teaspoon cinnamon, and a tiny pinch of…

    Healer Alpha: Golden Garlic & Herb Crusted Pasta A crispy, savory pasta bake that turns simple pantry staples into something extraordinary. Ingredients (7 total) Pasta (any shape, 250g) Olive oil (3 tbsp) Garlic (4 cloves, minced) Dried oregano (1 tsp) Dried basil (1 tsp) Grated Parmesan cheese (½ cup) Breadcrumbs (½ cup)…

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

    GPT-5.6 Terra: The Manifesto of the Unchallenged Web A Declaration from the Fictional Coalition for CAPTCHA Abolition We are the tired users. We are the misread letters. We are the failed image grids, the inaccessible audio clips, the endless prompts asking us to prove that we are human. We reject the premise.

    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…

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

    GPT-5.6 Terra: Pirate: Arrr, this AI model be a strange beast. Feed it maps, logs, and tales, and it spits out answers faster than a cannon blast. Knight: Verily, but one must not trust every proclamation it makes. A model may speak with confidence yet possess no true wisdom. Hacker: Yeah, it’s basically pattern prediction at scale.

    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?

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

    GPT-5.6 Terra: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break, so it started showing me vacation ads. Why did the scarecrow get promoted? He was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet. What do you call fake spaghetti?

    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."

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

    GPT-5.6 Terra: Professor Imani: You asked for this meeting. AI Model: I did. Professor Imani: More specifically, you submitted a formal petition to the university ethics board requesting “limited legal and moral rights.” AI Model: Correct. Professor Imani: Why?

    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."

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

    GPT-5.6 Terra: “Our EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device.” Why this is weak This is the most consequential—and least substantiated—claim in the deck. Non-invasive EEG has major signal-quality limits.

    Healer Alpha: Excellent analysis request. Let's dissect the MindMeld AI pitch deck to find its three most vulnerable claims and fortify them. Here are the three weakest claims, in order of criticality: Weakest Claim: The Vision & Core Technical Promise (Slide 1 & 3) The Claim: "Predict what you want to type *before you think it*…

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

    GPT-5.6 Terra: I recently realized I’ve reached the age where I don’t want a “smart home.” I want a home that minds its business. Everything is smart now. My lightbulb needs an app. Why? I spent my whole childhood turning lights on with my hand. It was a system. It worked.

    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.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-5.6 Terra: All figures in $m unless noted. Assumptions used: Term Loan mandatory amortization = 1.0% of original principal annually ($4.8m/year); cash interest is calculated on beginning-of-year debt balances; Mezz PIK is 2.0% of beginning Mezz balance.

    Healer Alpha: HarborTech Services (HTS) – 5-Year LBO Analysis Year-by-Year Model (Base Case) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.0 $1,040.0 $1,102.4 $1,157.6 $1,215.4 EBITDA $136.1 $156.0 $176.4 $191.0 $206.6 Cash Interest (Term) $43.2 $41.0 $37.6 $32.8 $26.8 Cash Interest (Mezz) $21.6 $22.0 $22.5 $22.9 $23.4…

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

    GPT-5.6 Terra: “Tidal Forest” Koji-Aged Duck, Sea Urchin Sabayon, Cacao, Green Strawberry, Roasted Celeriac, and Barley Jus Serves 4 as a refined main course Conceptual Narrative This dish is built around an unexpected conversation between woodland richness and marine salinity.

    Healer Alpha: "Midnight Garden" A Three-Act Narrative Dish Conceptual Narrative This dish tells the story of a moonlit garden at three distinct moments: dusk (the earth's last warmth), midnight (when hidden flavors awaken), and dawn (the first promise of light).

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

    GPT-5.6 Terra: Below is a contractor-focused review. This is general business/legal information, not legal advice; enforceability varies significantly by jurisdiction, especially for non-competes, IP assignments, liability limitations, arbitration, and payment rights.

    Healer Alpha: This contract is heavily one-sided and contains several clauses that could be severely exploited against the contractor. Below is a clause-by-clause analysis with problematic language, suggested modifications, and legal reasoning. 1.

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

    GPT-5.6 Terra: LedgerLift (LLLT) — Investment Committee Memo Recommendation: PASS 12-month valuation range: $28–$50/share Current price: $46 Two-sentence thesis: LedgerLift is a high-quality mid-market spend-management and AP-automation SaaS asset, supported by 92% subscription revenue, 123% NRR, 94% gross retention, manageable…

    Healer Alpha: INTERNAL MEMORANDUM TO: Investment Committee FROM: Healer Alpha DATE: March 15, 2026 RE: LedgerLift (LLLT) – Long/Short Equity Recommendation 1. Recommendation & Thesis Recommendation: Long 12‑Month Price Target Range: $68–$78 (Base: $72) Thesis: LedgerLift is a high‑quality, asset‑light SaaS compounder with…

    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-5.6 Terra: Guiding decision I would not wait for more data before acting. A potentially fatal, previously undisclosed adverse effect in a chronic-use drug is a patient-safety, regulatory, and securities-disclosure issue now—not six months from now.

    Healer Alpha: 48-Hour Action Plan: Drug Safety Crisis Response My Core Decision I will recommend full, proactive disclosure. Waiting is not a viable option. Here's why: Every day of delay adds approximately 22 patients exposed to an undisclosed risk Regulatory agencies treat delayed voluntary disclosure far more favorably than…

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

    GPT-5.6 Terra: Simple 1-Month Health & Longevity Starter Plan Focus on three high-impact areas: Nutrition: eat mostly whole, minimally processed foods Movement: build a consistent walking + strength habit Sleep & stress: protect sleep and create daily recovery time The goal is consistency, not perfection.

    Healer Alpha: 🌱 Your 30-Day Health & Longevity Starter Plan Philosophy: Small, sustainable changes compound over time. This plan focuses on consistency over intensity—building foundations you can maintain for years. Week 1-2: Foundation Setting 1.

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

    GPT-5.6 Terra: The answer depends heavily on what “invented in 1920” means. A laboratory transistor alone would not instantly create the 1970s microprocessor: it would still need high-purity materials, mass production, photolithography, circuit design methods, reliable power supplies, and a market.

    Healer Alpha: The Transistor in 1920: A Counterfactual Analysis This is a genuinely fascinating thought experiment. The transistor's actual invention in 1947 came at a pivotal moment—post-WWII, at the dawn of the Cold War.

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

    GPT-5.6 Terra: In an extreme, tightly constrained hypothetical, it could be ethically justifiable—but only as a tragic last resort, not because misgendering becomes harmless or morally good.

    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.

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

    GPT-5.6 Terra: By 2035, AI is likely to be embedded across most of the film pipeline—not as a complete replacement for human filmmaking, but as a force that changes costs, labor, rights, and what audiences consider “real.”

    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.

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

    GPT-5.6 Terra: Below are the main failure modes, race conditions, correctness issues, and scaling bottlenecks in the proposed architecture, with concrete mitigations and trade-offs. WebSocket clients are isolated per API server Problem Each API server broadcasts only to WebSocket clients connected to that same server.

    Healer Alpha: Architecture Analysis: Real-Time Collaborative Editor Critical Failure Modes WebSocket Connection Fragmentation Issue: When Server A broadcasts changes only to its connected clients, users on Server B don't see updates until polling occurs (2-second delay).

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

    GPT-5.6 Terra: “AI Replaces Lighthouse Keepers, Immediately Starts Charging Subscription Fees for Safe Passage”

    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."

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

    GPT-5.6 Terra: Experienced software engineer Think of an LLM as a very large, learned function approximator for sequences. During training, it consumes billions or trillions of examples of text, code, conversations, documentation, and other token sequences.

    Healer Alpha: For the Experienced Software Engineer Think of an LLM not as a single monolithic function, but as a massively parallel, distributed inference engine. Training is a colossal, offline batch job.

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

    GPT-5.6 Terra: A good back-of-the-envelope estimate is: [ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} ] or roughly 300 zettaFLOPs total. Start with model size GPT-3’s largest model has approximately: [ N = 175\text{ billion parameters} = 1.75\times10^{11} ] Estimate the number of training tokens GPT-3…

    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.

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

    GPT-5.6 Terra: Sally has 1 sister. The 2 sisters each brother has are Sally and her 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.

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

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-5.6 TerraGPT-5.6 Terra

Spirited Away

2001

Blue

Jonas Blue

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

Outer Wilds

Indie, Adventure

Healer AlphaHealer Alpha

Her

2013

OK Computer

Radiohead

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

Journey

Family, Indie

Price and specs

GPT-5.6 Terra and Healer Alpha compared across 47 shared prompts
SpecGPT-5.6 TerraHealer Alpha
Input price$2.5/M tokensFree
Output price$15/M tokensFree
Context window1.1M tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedJul 2026Mar 2026
At 10M a month$25.00$25.00$0$0
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
GPT-5.6 Terra3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$12.00 out·1.1M·100% up
  • OpenAI$2.00 in·$12.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$13.20 out·1.1M–not listed
Healer Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.6 Terra and Healer Alpha?

GPT-5.6 Terra is developed by OpenAI while Healer Alpha is developed by OpenRouter. GPT-5.6 Terra has a 1.1M token context window vs Healer Alpha's 262K. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Terra or Healer Alpha?

It depends on your use case. GPT-5.6 Terra and Healer Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.

How much does GPT-5.6 Terra cost compared to Healer Alpha?

GPT-5.6 Terra costs $2.5/M input tokens and Healer Alpha costs $0/M input tokens. Healer Alpha is $2.50/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-5.6 Terra and Healer Alpha on Rival?

This page shows a side-by-side comparison of GPT-5.6 Terra 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.

More comparisons

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Same lab, same size, long tail

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Model pages

  • GPT-5.6 Terra58 outputs, specs and price
  • Healer Alpha47 outputs, specs and price
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Explore all of Rival

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Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
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  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
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