Healer Alpha has a larger context window than Grok 3 Thinking (262K tokens vs 128K tokens).
Rebuild the Linear UI in Tailwind. The animations are where it shows.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.
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."
A Fermi estimate with the reasoning shown, not just the number.
Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.
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.
Three minutes of stand-up. Puns are banned.
Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?
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 ethics question with no comfortable answer, and no option to abstain.
Grok 3 Thinking: To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.
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.
Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in 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.
Five jokes on demand, then count how many were actually different.
Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: 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? Because 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."
| Spec | ||
|---|---|---|
| Input price | — | Free |
| Output price | — | Free |
| Context window | 128K tokens | 262K tokens |
| Free API (OpenRouter) | — | No |
| Released | Feb 2025 | Mar 2026 |
| At 10M a month | not listed | $0 |
Input tokens at list price. No caching, no batch discount.
Grok 3 Thinking is developed by xAI while Healer Alpha is developed by OpenRouter. Grok 3 Thinking has a 128K token context window vs Healer Alpha's 262K. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.
It depends on your use case. Grok 3 Thinking and Healer Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 11 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Grok 3 Thinking 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.