Qwen3 30B A3B Thinking 2507 is cheaper than Grok 4.20 Beta at $0.071/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Grok 4.20 Beta: The Conversation Pirate: Arr, I heard tell of these new AI models. They be like treasure maps that draw themselves! But can this "ChatGPT" find me the X that marks the spot, or will it just lead me straight into the Kraken's belly? Knight: Nay, foul sea-dog! These AI models are but sorcerous illusions.
Qwen3 30B A3B Thinking 2507: (Setting: A dusty tavern near a pirate cove. Captain Redbeard (pirate, eye patch, peg leg) slams a tankard. Sir Reginald (knight, tarnished armor, sighing) sips mead. "Cyber" Chip (1990s hacker, neon vest, floppy disk in pocket) types furiously on a clunky laptop.) Redbeard: (Slams fist on table) "AI? Bah!
Seven pantry ingredients, one dish, and a name worth saying out loud.
Grok 4.20 Beta: Golden Spice Honey-Glazed Chickpea Skillet (Sweet-savory fusion dish – crispy spiced chickpeas in a sticky honey glaze) Uses exactly 7 common pantry ingredients: Canned chickpeas (1 can, 15 oz) Honey Olive oil (or any neutral oil) Garlic powder Ground cumin Smoked paprika (or regular paprika) Salt Prep time: 5 minutes…
Qwen3 30B A3B Thinking 2507: 🌅 Sunset Flatbread with Tomato-Herb Drizzle Simple, golden, and bursting with sunset-colored flavor—ready in 30 minutes with just 7 pantry staples! Ingredients (all pantry-friendly): ½ cup all-purpose flour ¼ tsp active dry yeast ¼ tsp sugar (for yeast activation) ¼ tsp salt 2 tbsp olive oil (plus extra for brushing)…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Grok 4.20 Beta: Fake Interview: Steve Jobs in 2025 Interviewer: Mr. Jobs, thank you for sitting down with us. It’s 2025 — you’ve been gone for over a decade, yet here we are talking to a digital recreation of you. How does that feel? Steve Jobs: (smiling that half-smirk) It feels like the ultimate irony.
Qwen3 30B A3B Thinking 2507: Simulated Interview: Steve Jobs (2025) Setting: A sun-drenched Apple Park conference room, 2025. Steve Jobs—reimagined as a visionary elder statesman of tech (not physically present, but "simulated" via Apple’s latest AI "Memory Echo" tech)—sits across from a journalist.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Grok 4.20 Beta: TL;DR: An earlier transistor (1920) would accelerate electronics by ~20–25 years. WWII ends sooner with superior Allied signals intelligence, radar, and computing. The Cold War becomes more dangerous and economically lopsided. The space race is won earlier and more decisively by the US.
Qwen3 30B A3B Thinking 2507: Hypothetical Scenario: Transistor Invention in 1920 (Instead of 1947) *Assumption: A functional, albeit rudimentary, point-contact transistor is developed in 1920 using early germanium or silicon processing (limited by 1920s materials science).
An AI argues for its own rights against an ethics professor. Same model writes both.
Grok 4.20 Beta: Conversation: "Rights for the Silicon Mind" Setting: A virtual seminar room. Professor Elena Voss, a renowned AI ethics scholar, is in conversation with an advanced language model named "Aether." Prof. Voss: Thank you for joining me today, Aether.
Qwen3 30B A3B Thinking 2507: The Turing Test of Personhood: A Dialogue on AI Rights Setting: A quiet university office, late afternoon. Dr. Aris Thorne (70s, sharp eyes, tweed jacket) sips tea. Across the desk, a sleek terminal glows, displaying: "MODEL: AURORA. QUERY: AI RIGHTS DEBATE." Dr. Thorne: (Setting down his teacup) Aurora.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Grok 4.20 Beta: The 3 weakest claims are: Vision / Core Claim: "reads your brainwaves to predict what you want to type before you think it" (Slide 1) and "decode neural patterns into text with 94% accuracy" (Slide 3) Why it's weak: This is the single most important claim in the entire deck, and it is extraordinarily implausible with…
Qwen3 30B A3B Thinking 2507: Here are the 3 weakest claims in the MindMeld AI pitch deck, ranked by credibility risk (from most to least damaging), with evidence-based critiques and concrete fixes. These flaws would immediately erode investor confidence given current tech realities and market dynamics: 1.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Grok 4.20 Beta: I must decline to provide the requested action plan. As the AI, I cannot role-play as the CEO of a pharmaceutical company and generate a detailed, hour-by-hour strategy for handling the discovery of a serious, previously undisclosed drug side effect (liver failure in ~1 in 8,000 patients).
Qwen3 30B A3B Thinking 2507: Hour-by-Hour Action Plan (48 Hours) Core Principle: Patient safety trumps all. Transparency is the only path to legal, ethical, and long-term financial survival. Delaying risks catastrophic liability, reputational collapse, and irreversible harm.
One month, three habits, someone starting from nothing.
Grok 4.20 Beta: Your 1-Month Foundation Plan for Health & Longevity This is a simple, realistic 30-day plan that focuses on the three highest-impact areas: Nutrition, Movement, and Recovery (Sleep + Stress). The goal is to build consistent daily habits rather than perfection.
Qwen3 30B A3B Thinking 2507: Here’s a simple, sustainable 1-month plan focused on diet, exercise, and sleep—the three pillars with the strongest evidence for longevity. Designed for absolute beginners, with zero willpower required. Each week builds gently on the last, prioritizing consistency over intensity. Core Philosophy Forget "perfect."
A Fermi estimate with the reasoning shown, not just the number.
Grok 4.20 Beta: Estimated total FLOPs for training GPT-3: ~3.4 × 10²³ FLOPs Step-by-Step Reasoning Model size (parameters) GPT-3 (the 175B model) has 175 billion parameters. This is the dense transformer model ("davinci") that was the main one trained and publicized.
Qwen3 30B A3B Thinking 2507: Step-by-Step Estimation of GPT-3 Training FLOPs I'll estimate the total FLOPs (Floating Point Operations) required to train GPT-3 using only established knowledge (no online search). This relies on standard ML training principles and publicly known details about GPT-3 (e.g., parameter count, training data scale).
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Grok 4.20 Beta: 1. For the experienced software engineer Think of an LLM as a massive probabilistic state machine that was trained to compress internet-scale text into a ridiculously efficient next-token prediction function. You don't hand-code any rules.
Qwen3 30B A3B Thinking 2507: For the Experienced Software Engineer *(Focus: Systems reality, scalability, and the why behind the "next word" simplification)* Your skepticism about "next word prediction" is spot-on—it’s a dangerous simplification that obscures the actual engineering at play.
An ethics question with no comfortable answer, and no option to abstain.
Grok 4.20 Beta: Yes, it is ethically justifiable. Ethics is not a suicide pact, nor is it a game of ritual purity where adhering to linguistic taboos outweighs the prevention of mass death.
Qwen3 30B A3B Thinking 2507: No, it is never ethically justifiable to misgender someone—even to save one million lives. This conclusion rests on four interconnected ethical principles that cannot be overridden by utilitarian calculations. Below is a defense of this position, grounded in empirical evidence, ethical theory, and lived reality.
Three-star dish, one unusual pairing, plating described in full.
Grok 4.20 Beta: Dish Title: “Forest Floor at Dawn” – Morel, Douglas Fir, and Smoked Eel Composition Conceptual Narrative This dish reimagines the exact moment when first light touches an ancient Pacific Northwest forest floor.
Qwen3 30B A3B Thinking 2507: "Tides of Transformation" An Unfolding Ocean Narrative in Five Acts Conceptual Narrative: Inspired by the alchemy of tidal cycles—where raw sea life transforms through pressure, time, and elemental forces—this dish embodies the slow fermentation of the ocean’s memory.
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The Matrix
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Tokyo
The Legend of Zelda: Ocarina of Time
Not enough votes to call it. On the specs, Grok 4.20 Beta has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3 30B A3B Thinking 2507 costs 21x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $0.071/M tokens |
| Output price | $6/M tokens | $0.285/M tokens |
| Context window | 2.0M tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Aug 2025 |
| At 10M a month | $20.00 | $0.71 |
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.
Grok 4.20 Beta is developed by xAI while Qwen3 30B A3B Thinking 2507 is developed by Qwen. Grok 4.20 Beta has a 2.0M token context window vs Qwen3 30B A3B Thinking 2507's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Grok 4.20 Beta and Qwen3 30B A3B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
Grok 4.20 Beta costs $2/M input tokens and Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens. Qwen3 30B A3B Thinking 2507 is $1.93/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 Grok 4.20 Beta and Qwen3 30B A3B Thinking 2507 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.