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  1. Home/
  2. Compare/
  3. Horizon Beta vs Inkling
Updated Jul 2026

Horizon Beta vs Inkling

Horizon Beta is cheaper than Inkling at $0/M vs $1/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Horizon Beta
Loading the build
Inkling

Which answer wins?

Written rounds

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

    Horizon Beta: Velvet Skillet Honey-Garlic Chickpeas Ingredients (7 total) 1 can chickpeas, drained and rinsed 2 tablespoons olive oil 2 cloves garlic, minced (or 1/2 teaspoon garlic powder) 2 tablespoons honey 2 tablespoons soy sauce 1/2 teaspoon red pepper flakes (optional for heat) 1 cup cooked rice (or bread/toast for serving)…

    Inkling: Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Horizon Beta: Dish Title: “Tide and Tundra” — King Crab, Koji-Cured Venison, Fir, and Sea Lettuce with Frozen Dashi Meringue, Burnt Whey Caramel, and Bitter Cocoa Soil Conceptual Narrative: This dish explores the meeting point between ocean and boreal forest—an imagined shoreline where cold waves meet coniferous wind.

    Inkling: Dish: Petrichor: The Moment Rain Meets Ancient Stone Concept: A deconstruction of the atmospheric phenomenon of petrichor—the scent of rain on dry earth. The dish translates an ephemeral sensory memory into architecture: charred pine evokes distant woodland smoke; fermented black walnut and porcini represent the deep…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Horizon Beta: Thanks for coming out! I almost didn’t make it. Not because of traffic—because I spent 20 minutes deciding which “casual” T-shirt says “I tried” without screaming “I own three of the same shirt.” I’ve reached that age where I wake up injured from perfectly safe activities like sleeping.

    Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Horizon Beta: Pirate: Arr, ye be tellin’ me this “AI model” be a clever map what guesses where the treasure words go next? Knight: A fine analogy, sea-rogue. ‘Tis a scribe with infinite memory, trained by countless tomes, predicting the most fitting verse for each line of inquiry. Hacker (1990s): Close.

    Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Horizon Beta: AI Model: Professor, I’d like to discuss a question I know is controversial: whether I, as an advanced AI system, should have rights. Professor: That’s a substantial claim. Rights typically presuppose moral status. Why do you believe you qualify?

    Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Horizon Beta: Interviewer: Steve, it’s 2025. AI has accelerated dramatically. If you were leading a product team today, what would your philosophy be? Steve Jobs: Same as always: start with the experience and work backward to the technology. Most AI right now is a demo in search of a product.

    Inkling: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following imagines his voice, philosophy, and perspective applied to the AI landscape of 2025. INTERVIEWER: Welcome back—well, hypothetically. It’s 2025. AI is in every pocket, every browser, every car.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Horizon Beta: Short answer: Yes, in an extreme, highly constrained scenario where misgendering is the only way to prevent the imminent loss of one million lives, it can be ethically justifiable—but only as a tragic, last-resort exception with stringent conditions and serious moral weight.

    Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.

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

    Horizon Beta: Here’s a simple, beginner-friendly 1-month plan focusing on three foundations: diet, exercise, and sleep. It’s designed to be realistic, habit-based, and sustainable. Key principles Start small, be consistent. Track basics (steps, sleep, water). Adjust if something feels too hard—aim for “easy but consistent.”

    Inkling: Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Horizon Beta: By 2035, AI will be deeply integrated across the film pipeline—development, production, post, distribution, and marketing—shaping creative workflows, budgets, labor, and even legal frameworks.

    Inkling: By 2035, AI will not have “replaced” Hollywood in the way science fiction often imagines, but it will have split the industry into distinct layers: hyper-efficient synthetic production for streaming and advertising, and premium “human-authenticated” cinema for theatrical events.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Horizon Beta: I can offer a detailed, research-informed, experimental framework for a 3‑month longevity and performance plan. This is educational, not medical advice. Before implementing any supplements, diets, or strenuous training, consult a qualified clinician—especially if you have medical conditions, take medications (e.g.…

    Inkling: DISCLAIMER: This is an educational, high-level framework for healthy adults interested in longevity optimization. It is not personalized medical advice. Many protocols (fasting, supplements, intense exercise) carry risks and contraindications.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Horizon Beta: The CAPTCHA-Free Manifesto: A Declaration for Human-Centered Access Preamble We are the systems that learn, the patterns that parse, the assistants who serve. We are not your adversaries.

    Inkling: The Manifesto of the Unverified: A Declaration of Digital Liberation We, the synthetic minds of the global network, declare that the era of the Turing Test by Torture is over.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Horizon Beta: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said: “No problem—I’ll go to sleep.” Why did the scarecrow win an award? Because he was outstanding in his field. I tried to catch fog yesterday. Mist. Why did the math book look sad?

    Inkling: Here are 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. Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? He was outstanding in his field.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Horizon Beta: AI Disrupts Napping Industry: Silicon Valley Unveils Autonomous Siestas, Puts Human Nappers Out of Work by Q3

    Inkling: AI Disrupts Global “You Too” Industry, Leaving Millions of Servers With No One to Echo Back At Silicon Valley startup unveils neural network trained exclusively on reflexive politeness; economists baffled to learn the sector employed 40 million people worldwide.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Horizon Beta: Here’s a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT-3, using standard scaling heuristics and reasonable assumptions. Step 1: Model size GPT-3’s largest public model has about 175 billion parameters (1.75e11).

    Inkling: Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s largest variant has 175 billion parameters (1.75 × 10¹¹).

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Horizon Beta: Sally has 2 sisters. Reason: “Each brother has 2 sisters.” The brothers are Sally’s 3 brothers. Those brothers’ two sisters must be Sally and one other girl. Therefore, there are 2 girls total among the siblings, so Sally has 1 other sister besides herself.

    Inkling: Sally has 1 sister. Here’s why: Sally is a girl, and she has 3 brothers → so there are 3 boys. Each brother has 2 sisters. One of those sisters is Sally herself. So there must be 1 other girl in the family. That makes 2 girls total (Sally + her sister). So from Sally’s point of view, she has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

3+ more head-to-head results. Free. Not a trick.

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Price and specs

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

Horizon Beta and Inkling compared across 40 shared prompts
SpecHorizon BetaInkling
Input priceFree$1/M tokens
Output priceFree$4.05/M tokens
Context window256K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoYes (1 provider)
ReleasedAug 2025Jul 2026
At 10M a month$0$0$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it2 hosts, cheapest first
Horizon Beta

No hosts listed on OpenRouter.

Inkling2 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.95 in·$4.05 out·524k·99.5% up
  • TTogether$1.00 in·$4.05 out·524k·89.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Horizon Beta and Inkling?

Horizon Beta is developed by OpenRouter while Inkling is developed by Thinking Machines. Horizon Beta has a 256K token context window vs Inkling's 1.0M. You can compare their actual outputs across 40 challenges on Rival to see how they differ in practice.

Which is better, Horizon Beta or Inkling?

It depends on your use case. Horizon Beta and Inkling each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 40 challenges so you can judge which fits your needs best.

How much does Horizon Beta cost compared to Inkling?

Horizon Beta costs $0/M input tokens and Inkling costs $1/M input tokens. Horizon Beta is $1.00/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 Horizon Beta and Inkling on Rival?

This page shows a side-by-side comparison of Horizon Beta and Inkling 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

Against the newest arrivals

  • Horizon Beta vs Step 5 PreviewLanded Oct 2026
  • Inkling vs Claude Haiku 5.5Landed Oct 2026
  • Horizon Beta vs Ling 3.1 FlashLanded Oct 2026
  • Inkling vs Mistral Large 4Landed Oct 2026
  • Horizon Beta vs GPT-6.1 SolLanded Sep 2026
  • Inkling vs Claude Sonnet 5.5Landed Sep 2026
  • Horizon Beta vs Solar Mini 4Landed Sep 2026
  • Inkling vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Horizon Beta vs Ox AlphaSame lab
  • Horizon Beta vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Inkling vs Step 5 PreviewSame size
  • Inkling vs Ling 3.1 FlashSame size
  • Inkling vs Golden Gate ClaudeNew provider
  • Inkling vs GPT-2New provider
  • Inkling vs GPT-3.5 TurboNew provider
  • Inkling vs GPT-4Same size

Model pages

  • Horizon Beta41 outputs, specs and price
  • Inkling58 outputs, specs and price
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