Healer Alpha is cheaper than DeepSeek V3.2 Exp at $0/M vs $0.2/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
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."
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.
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*…
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…
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.
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.
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…
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…
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)…
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.
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?
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).
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Not enough votes to call it. On the specs, Healer Alpha has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | Free |
| Output price | $0.4/M tokens | Free |
| Context window | 164K tokens | 262K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Mar 2026 |
| At 10M a month | $2.00 | $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.
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.
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.
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.
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.