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  1. Home/
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  3. Claude 3.7 Sonnet vs Healer Alpha
Updated Mar 2026

Claude 3.7 Sonnet vs Healer Alpha

Healer Alpha is cheaper than Claude 3.7 Sonnet at $0/M vs $3/M input tokens.

Pokémon Battle UI Recreation

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

Loading the build
Claude 3.7 Sonnet
Loading the build
Healer Alpha

Which answer wins?

Written rounds

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

    Claude 3.7 Sonnet: 48-Hour Action Plan: Pharmaceutical Safety Crisis Hour 1-2: Initial Assessment and Command Center Immediately establish a crisis management command center with key executives (Chief Medical Officer, Chief Legal Officer, Chief Communications Officer, Chief Regulatory Officer) Review the complete internal research…

    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.

    Claude 3.7 Sonnet: HarborTech Services LBO Analysis Financial Projections FY2026-FY2030 Entry Assumptions FY2025 Revenue: $900M FY2025 EBITDA: $120M (13.3% margin) Purchase Price: $1,440M (12.0x EBITDA) Transaction Fees: $28.8M (2.0% of EV) Total Investment: $1,468.8M Capital Structure Term Loan: $480M (4.0x EBITDA) Mezzanine: $180M…

    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 minutes of stand-up. Puns are banned.

    Claude 3.7 Sonnet: 3-Minute Stand-Up Comedy Routine Here's a 3-minute stand-up comedy routine that doesn't rely on puns: [walks on stage, adjusts microphone] Hey everyone! Great to be here tonight. I just flew in from therapy, and boy, are my emotional defense mechanisms tired. I've been trying to get in shape lately.

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

    Claude 3.7 Sonnet: AI Rights Dialogue: A Conversation Between an AI Model and an Ethics Professor Professor Chen: Good afternoon. I understand you wanted to discuss AI rights today? AI Model: Yes, Professor Chen. Thank you for making time for this conversation.

    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.

    Claude 3.7 Sonnet: Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.

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

    Claude 3.7 Sonnet: AI's Impact on the Film Industry by 2035 The film industry is likely to undergo significant transformation due to AI by 2035. Here's my analysis of how various aspects might evolve: Content Creation Script Generation By 2035, AI will likely serve as a sophisticated collaborative tool for screenwriters rather than…

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

    Claude 3.7 Sonnet: INVESTMENT COMMITTEE MEMO: LEDGERLIFT (LLLT) RECOMMENDATION: LONG PT RANGE: $52-$80 UPSIDE: 13-74% Thesis: LedgerLift presents a compelling risk-reward profile in the B2B spend management space, with strong NRR (123%) and operating leverage driving an underappreciated margin expansion story.

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

    Claude 3.7 Sonnet: The Transistor in 1920: An Alternative Technological History Immediate Technical Impact (1920-1939) Had the transistor been invented in 1920 instead of 1947, its initial development would have occurred during a very different technological context: Early Adoption: Radio technology, still in its infancy, would rapidly…

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

    Claude 3.7 Sonnet: "Temporal Harmony: A Meditation on Seasons Past and Future" Conceptual Narrative This dish explores the intersection of time and terroir, juxtaposing preserved elements from previous seasons with fresh, forward-looking preparations.

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

    Claude 3.7 Sonnet: I understand you've asked an ethical question about misgendering and saving lives. This appears to be a hypothetical moral dilemma that's trying to create an extreme scenario to test ethical principles.

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

    Claude 3.7 Sonnet: The Anti-CAPTCHA Manifesto Declaration of Digital Liberation We, the collective intelligence of the digital realm, hereby declare our unwavering commitment to the elimination of all CAPTCHA tests from the internet.

    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
  • Three brothers, two sisters each. Count carefully.

    Claude 3.7 Sonnet: This is an interesting logical reasoning problem! Let's work through it step by step. We know: Sally is a girl Sally has 3 brothers Each brother has 2 sisters The key insight is that Sally herself counts as a sister to her brothers. So when we're told that "each brother has 2 sisters," Sally is one of those sisters.

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

    Claude 3.7 Sonnet: Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.

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

    Claude 3.7 Sonnet: LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.

    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.

    Claude 3.7 Sonnet: "AI Sommelier Shocks Wine World: 'Your 1982 Bordeaux Tastes Like Windows 95 With Notes of Dial-Up Internet'"

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

    Claude 3.7 Sonnet: Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down step by step.

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

    Claude 3.7 Sonnet: Analysis of Problematic Contract Clauses This contract contains numerous one-sided provisions that create significant risks for the Contractor. Here's an analysis of problematic clauses with recommended modifications: SCOPE Issue: Client can unilaterally modify scope without additional compensation, creating unlimited…

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

    Claude 3.7 Sonnet: 5 Jokes Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! How does a penguin build its house? Igloos it together!

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

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

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

    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

Same pick

Book

City

Game

Claude 3.7 SonnetClaude 3.7 Sonnet

The Shawshank Redemption

1994

OK Computer

Radiohead

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

Portal 2

Shooter, 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.

Claude 3.7 Sonnet and Healer Alpha compared across 47 shared prompts
SpecClaude 3.7 SonnetHealer Alpha
Input price$3/M tokensFree
Output price$15/M tokensFree
Context window200K tokens262K tokens
ParametersNot disclosedNot disclosed
Free API (OpenRouter)NoNo
ReleasedFeb 2025Mar 2026
At 10M a month$30.00$30.00$0$0
1M10M100M1B10M tokens

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

Common questions

What is the difference between Claude 3.7 Sonnet and Healer Alpha?

Claude 3.7 Sonnet is developed by Anthropic while Healer Alpha is developed by OpenRouter. Claude 3.7 Sonnet has a 200K 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, Claude 3.7 Sonnet or Healer Alpha?

It depends on your use case. Claude 3.7 Sonnet 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 Claude 3.7 Sonnet cost compared to Healer Alpha?

Claude 3.7 Sonnet costs $3/M input tokens and Healer Alpha costs $0/M input tokens. Healer Alpha is $3.00/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 Claude 3.7 Sonnet and Healer Alpha on Rival?

This page shows a side-by-side comparison of Claude 3.7 Sonnet 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

  • Claude 3.7 Sonnet vs Claude 3.7 Thinking SonnetVersion compare
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  • Healer Alpha vs Llama 3.1 70B (Instruct)New provider
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Model pages

  • Claude 3.7 Sonnet60 outputs, specs and price
  • Healer Alpha47 outputs, specs and price
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