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  5. GPT-4.1 MinivsHorizon Alpha
Updated Jul 2025

GPT-4.1 MinivsHorizon Alpha

Horizon Alpha is cheaper than GPT-4.1 Mini at $0/M vs $0.4/M input tokens.

GPT-4.1 Mini and Horizon Alpha compared across 34 shared prompts
SpecGPT-4.1 MiniHorizon Alpha
Input price$0.4/M tokensFree
Output price$1.6/M tokensFree
Context window1.0M tokens256K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedApr 2025Jul 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 34 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GPT-4.1 Mini412 words
You ever notice how every time you try to eat healthy, the universe just laughs at you? Like, I'll buy a bunch of kale, quinoa, and those weird little chia seeds. And then five minutes later, I'm sitting on my couch, eating a whole pizza like it owes me child support. I don't even know when that transformation happens.
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Horizon Alpha903 words
So I turned 30 recently, which is great because now I can’t tell if I'm tired from life or from the sandwich I ate. Like, I used to eat pizza at 2 a.m. and wake up energized. Now if I smell pizza after 8 p.m., my kidneys file a complaint with HR. I tried to be healthy. I got one of those fitness watches.
Read the full answer

Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

GPT-4.1 Mini499 words
Certainly! Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 by breaking down the problem step-by-step. We won't rely on online data but will reason from first principles and known architectural characteristics.
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Horizon Alpha265 words
Here’s a back‑of‑the‑envelope estimate using standard scaling heuristics and typical training setups for GPT‑3–class models. Assumptions Model size: GPT‑3 175B parameters (N ≈ 1.75×10^11). Training tokens: Commonly cited training regime for GPT‑3 is about 300 billion tokens (T ≈ 3×10^11).
Read the full answer

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GPT-4.1 Mini182 words
Pirate: Arrr, what be these AI models ye speak of? Some kind of magic compass guidin' ye through the digital seas? Medieval Knight: Hark! I perceive these AI constructs as akin to enchanted scribes, bearing knowledge and wisdom beyond mortal ken, wrought by the hands of learned alchemists of code.
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Horizon Alpha351 words
Pirate: Arr, ye speak o’ these AI models—mighty clever parrots, are they? Mimickin’ our words like a cabin boy who’s heard too many sea shanties. Knight: Parrots, perhaps, but trained in vast libraries. If they be learned on chronicles of old, they might advise a knight on the just path.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GPT-4.1 Mini63 words
Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why did the math book look sad? Because it had too many problems. How do you organize a space party? You planet!
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Horizon Alpha78 words
Here are 5 jokes: I told my computer I needed a break, and now it won’t stop sending me KitKat ads. I tried to eat a clock once. It was very time-consuming. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-4.1 Mini402 words
Interviewer: Mr. Jobs, thank you for joining us in this unique interview in 2025. The world has changed rapidly with AI at the forefront. From your perspective, how do you see AI shaping our future? Steve Jobs: Well, it's fascinating to be part of this conversation.
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Horizon Alpha799 words
I’m happy to create a fictional, respectful simulation that imagines how Steve Jobs might speak and think about AI in 2025, based on his public persona and known viewpoints. Here’s a creative interview: Interviewer: Steve, it’s 2025. AI is everywhere—phones, cars, classrooms, creative tools.
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-4.1 Mini458 words
Certainly! Here’s a simple, actionable 1-month plan focusing on Diet, Exercise, and Sleep—three foundational pillars for better health and longevity. Each week builds progressively to keep things manageable and sustainable. Week 1: Establish the Basics Diet: Start by drinking at least 8 glasses of water daily.
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Horizon Alpha698 words
Here’s a simple, beginner-friendly 1‑month plan focused on diet, exercise, and sleep. It’s designed to be realistic, build consistency, and show quick wins. Overall approach Keep it simple: small daily actions beat perfection. Track 3 basics daily: steps, protein at meals, sleep duration.
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Our Verdict
GPT-4.1 Mini
GPT-4.1 Mini
Horizon Alpha
Horizon Alpha

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.1 Mini
Input
$0.40
Output
$1.60
Horizon Alpha
Input
$0.000
Output
$0.000
Where to run it

2 hosts

GPT-4.1 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.40 in·$1.60 out·1M·100% upOpenAI$0.40 in·$1.60 out·1M·100% up
Horizon Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
49%

GPT-4.1 Mini uses 412.6x more bold

GPT-4.1 Mini
Horizon Alpha
62%Vocabulary65%
18wSentence Length14w
0.40Hedging0.22
4.1Bold0.0
4.3Lists3.5
0.66Emoji0.00
0.68Headings0.00
0.14Transitions0.12
Based on 27 + 14 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4.1 Mini is developed by OpenAI while Horizon Alpha is developed by OpenRouter. GPT-4.1 Mini has a 1.0M token context window vs Horizon Alpha's 256K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4.1 Mini and Horizon Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.

GPT-4.1 Mini costs $0.4/M input tokens and Horizon Alpha costs $0/M input tokens. Horizon Alpha is $0.40/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-4.1 Mini and Horizon 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.

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Model pages

GPT-4.1 Mini logo
GPT-4.1 Mini59 outputs, specs and price
Horizon Alpha logo
Horizon Alpha34 outputs, specs and price
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