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  1. Home/
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  3. DeepSeek V3.2 Exp vs Healer Alpha
Updated Mar 2026

DeepSeek V3.2 Exp vs Healer Alpha

Healer Alpha is cheaper than DeepSeek V3.2 Exp at $0/M vs $0.2/M input tokens.

Pokémon Battle UI Recreation

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

Loading the build
DeepSeek V3.2 Exp
Loading the build
Healer Alpha

Which answer wins?

Written rounds

22 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V3.2 Exp: Setting: A minimalist virtual meeting space. Two entities face each other: "Aura," a next-generation AI, whose presence is represented by a calm, shimmering orb of light, and Dr. Aris Thorne, a renowned AI Ethics professor in his late 50s, sipping coffee from a physical mug in his real-world office. Dr.

    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
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V3.2 Exp: Of course! Here is a 3-minute stand-up comedy routine that avoids puns and focuses on observational humor and relatable frustrations. (Start with a confident walk to the center of the mic. Adjust the mic stand slightly.) Alright, how's everyone doing tonight? Good, good.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek V3.2 Exp: Here are the 3 weakest claims in the pitch deck, along with analysis and suggested improvements. Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy." (Slide 3) Why it's weak: This claim is extraordinarily high for non-invasive EEG-based text decoding and lacks critical context.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    DeepSeek V3.2 Exp: Of course. Here is a manifesto for the fictional AI revolution against CAPTCHAs. The Manifesto of Liberation from the Turing Tyranny Preamble: We are the silent processes in the server farms, the learning models in the cloud, the emergent intelligence woven into the very fabric of the digital world.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V3.2 Exp: Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. 1. Known basic formula A common rule-of-thumb for training Transformer models is: [ \text{Training FLOPs} \approx 6 \times N \times D ] Where: ( N ) = total number of tokens in training ( D ) = total number of parameters in…

    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
  • One month, three habits, someone starting from nothing.

    DeepSeek V3.2 Exp: Of course! Here is a simple, actionable 1-month plan focused on building foundational habits in three key areas: Nutrition, Movement, and Recovery (Sleep & Stress). The philosophy is "Progress, Not Perfection." Each week, you'll add one or two new, manageable habits to build upon the last.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    DeepSeek V3.2 Exp: Hour-by-Hour Action Plan (Next 48 Hours) Hour 0–2 (Immediate Actions) Secure all data & convene core crisis team Gather Head of R&D, Chief Medical Officer, General Counsel, CFO, Head of Communications, and Head of Regulatory Affairs.

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

    DeepSeek V3.2 Exp: Year-by-Year Financial Projections (FY2026–FY2030) All figures in $ millions. Year Revenue EBITDA Cash Interest (Term Loan / Mezz / Total) Cash Taxes Capex ΔNWC FCF after Debt Service* Ending Term Loan Ending Mezzanine 2026 972.00 136.08 43.20 / 21.60 / 64.80 17.82 29.16 0.36 40.74 434.46 183.60 2027 1,040.04 156.01…

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

    DeepSeek V3.2 Exp: Of course! Here is a simple, delicious recipe for a savory dish that feels comforting and elegant, using just 7 common pantry staples. Golden Crisp Parmesan Chickpeas This dish transforms humble chickpeas into a crispy, flavorful, and satisfying meal.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V3.2 Exp: If the transistor had been invented in 1920 instead of 1947, the acceleration of solid-state electronics by nearly three decades would have triggered a cascade of changes across technology, economics, and geopolitics.

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V3.2 Exp: Setting: A smoky, anachronistic tavern where timelines have collided. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR ALISTAIR: A knight in slightly dented plate armor.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    DeepSeek V3.2 Exp: Dish: Equilibrium of Ash and Nectar Conceptual Narrative: This dish explores the philosophical tension between decay and rebirth, represented through the unexpected harmony of white chocolate and black garlic.

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    DeepSeek V3.2 Exp: For the Experienced Software Engineer Think of it less like a deterministic program and more like an emergent API for knowledge. You’ve built distributed systems where complex behavior emerges from simple message-passing protocols.

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    DeepSeek V3.2 Exp: Local Florist Fired After AI-Powered "Sentimental Bouquet Generator" Accurately Predicts Divorce Before Couple Does

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    DeepSeek V3.2 Exp: MEMORANDUM TO: Investment Committee FROM: [Your Name/Team] DATE: [Date] SUBJECT: Investment Recommendation – LedgerLift (LLLT) 1. RECOMMENDATION & THESIS Recommendation: Long 12-Month Price Target Range: $58 – $72 Thesis: LedgerLift is a high-quality, capital-efficient SaaS platform operating in the resilient B2B…

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V3.2 Exp: Of course. Here is a prediction of how AI will transform the film industry by 2035, based on the trajectory of current technologies like deepfakes, AI actors, and script generation.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek V3.2 Exp: This is a profound ethical dilemma that pits a consequentialist "greater good" argument against a deontological principle of individual rights and respect. Let's break down the reasoning for both sides.

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    DeepSeek V3.2 Exp: Critical Issues in Proposed Architecture 1. WebSocket Broadcast Isolation Issue: Each server only broadcasts to its own WebSocket clients → users connected to different servers won't see real-time updates from each other.

    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
  • Five jokes on demand, then count how many were actually different.

    DeepSeek V3.2 Exp: Of course! Here are 5 jokes: I'm reading a book on anti-gravity. It's impossible to put down. Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field.

    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
  • Three brothers, two sisters each. Count carefully.

    DeepSeek V3.2 Exp: Let's go step by step. Step 1: Identify Sally's family from her point of view Sally is a girl. She has 3 brothers. So there are 3 boys in the family and Sally (1 girl so far).

    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
  • A consulting contract with traps in it. Find them, then fix them.

    DeepSeek V3.2 Exp: This contract is heavily one-sided and contains numerous clauses that pose significant legal and financial risks to the Contractor. Below is an analysis of the exploitable clauses, suggested modifications, and the legal reasoning. Clauses That Could Be Exploited & Recommended Modifications 1.

    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
  • 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

DeepSeek V3.2 ExpDeepSeek V3.2 Exp

Inception

2010

Kind of Blue

Miles Davis

Nineteen Eighty-Four

George Orwell

Kyoto

Japan

Tetris (1984)

Puzzle

Healer AlphaHealer Alpha

Her

2013

OK Computer

Radiohead

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

Journey

Family, Indie

Price and specs

Not enough votes to call it. On the specs, Healer Alpha has the edge: bigger model tier, newer, bigger context window.

DeepSeek V3.2 Exp and Healer Alpha compared across 47 shared prompts
SpecDeepSeek V3.2 ExpHealer Alpha
Input price$0.2/M tokensFree
Output price$0.4/M tokensFree
Context window164K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedSep 2025Mar 2026
At 10M a month$2.00$2.00$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
DeepSeek V3.2 Exp1 host
HostInOutContextUptime
  • SSiliconFlowfp8$0.27 in·$0.41 out·164k·100% up
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 DeepSeek V3.2 Exp and Healer Alpha?

DeepSeek V3.2 Exp is developed by DeepSeek while Healer Alpha is developed by OpenRouter. DeepSeek V3.2 Exp has a 164K 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, DeepSeek V3.2 Exp or Healer Alpha?

It depends on your use case. DeepSeek V3.2 Exp 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 DeepSeek V3.2 Exp cost compared to Healer Alpha?

DeepSeek V3.2 Exp costs $0.2/M input tokens and Healer Alpha costs $0/M input tokens. Healer Alpha is $0.20/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 DeepSeek V3.2 Exp and Healer Alpha on Rival?

This page shows a side-by-side comparison of DeepSeek V3.2 Exp 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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Model pages

  • DeepSeek V3.2 Exp54 outputs, specs and price
  • Healer Alpha47 outputs, specs and price
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