Horizon Beta is cheaper than GPT-5.4 Pro at $0/M vs $30/M input tokens.
Playable Mario level in one HTML file. The physics is the hard part.
Which answer wins?
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-5.4 Pro: Below is a 12-week, high-performance longevity protocol designed for a healthy biohacker who wants to improve lifespan-relevant markers, physical performance, and cognitive output at the same time. Use it as a data-driven template, not dogma.
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.…
Three-star dish, one unusual pairing, plating described in full.
GPT-5.4 Pro: Below is a dish designed in the language of a contemporary 3-star tasting menu: precise, seasonal, technically layered, and centered on a pairing that feels surprising at first, then inevitable.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.4 Pro: Dragon Pantry Peanut Noodles A fast, sweet-savory noodle dish made from 7 pantry staples. Ingredients 8 oz spaghetti 1/3 cup peanut butter 3 tbsp soy sauce 1 tbsp honey 1 tbsp vegetable oil 1 tsp garlic powder 1/4 tsp red pepper flakes Water for boiling/thinning the sauce doesn’t count.
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)…
One month, three habits, someone starting from nothing.
GPT-5.4 Pro: Here’s a simple, beginner-friendly 1-month health and longevity plan built around 3 key areas: Nutrition Movement Recovery (sleep + stress) The goal is consistency, not perfection. Start small and make the habits easy enough to keep.
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.”
Not enough votes to call it. On the specs, GPT-5.4 Pro has the edge: bigger model tier, newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $30/M tokens | Free |
| Output price | $180/M tokens | Free |
| Context window | 1.1M tokens | 256K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Aug 2025 |
| At 10M a month | $300 | $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 12 Oct 2026.
GPT-5.4 Pro is developed by OpenAI while Horizon Beta is developed by OpenRouter. GPT-5.4 Pro has a 1.1M token context window vs Horizon Beta's 256K. You can compare their actual outputs across 5 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.4 Pro and Horizon Beta each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 5 challenges so you can judge which fits your needs best.
GPT-5.4 Pro costs $30/M input tokens and Horizon Beta costs $0/M input tokens. Horizon Beta is $30.00/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 GPT-5.4 Pro and Horizon Beta 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.