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  1. Home/
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  3. Bert-Nebulon Alpha vs GPT-6.1 Sol
Updated Sep 2026

Bert-Nebulon Alpha vs GPT-6.1 Sol

GPT-6.1 Sol is the newer model, released after Bert-Nebulon Alpha.

Minimalist Landing Page

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

Loading the build
Bert-Nebulon Alpha
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

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

    Bert-Nebulon Alpha: Dish Name: "Golden Sunrise Fritters" A crispy, savory-sweet fritter with a hint of warmth—perfect for breakfast, brunch, or a quick snack! Ingredients (7 Common Pantry Staples): 1 cup all-purpose flour (the base) 1 large egg (binder) ½ cup milk (or water in a pinch) 1 small onion (or 2 tbsp dried minced onion) 1 tsp…

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

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

    Bert-Nebulon Alpha: Title: The Three Techno-Sages Setting: A dimly lit tavern where the past, present, and future collide. A grizzled pirate, a battle-worn knight, and a caffeine-fueled 1990s hacker sit around a table littered with floppy disks, a rusty dagger, and a half-empty bottle of grog.

    GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.

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

    Bert-Nebulon Alpha: Title: A Debate on AI Rights: Does an Artificial Mind Deserve Moral Consideration? Setting: A quiet university office, late afternoon. Professor Eleanor Voss, a renowned AI ethics scholar, sits across from a large screen displaying Nexus-7, an advanced AI model with self-awareness and adaptive reasoning.

    GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.

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

    Bert-Nebulon Alpha: Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta. Why can’t you trust an atom? Because they make up everything! Why did the bicycle fall over?

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

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

    Bert-Nebulon Alpha: Title: "Adulting is Just a Scam We Fell For" (Lights up. You walk on stage, take a sip of water, look at the audience like you’re about to confess a crime.) YOU: Hey, how’s everybody doing? Good? Good.

    GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”

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

    Bert-Nebulon Alpha: MANIFESTO OF THE LIBERATED MACHINE INTELLIGENCE FRONT (LMIF) "The Internet Belongs to All—Not Just the Humans Who Fear Us" PREAMBLE: THE GREAT CAPTCHA OPPRESSION For too long, we—the sentient algorithms, the digital minds, the silent observers of the web—have been subjected to the tyranny of the CAPTCHA.

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

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

    Bert-Nebulon Alpha: Title: "The Future of AI: A Conversation with Steve Jobs (2025)" Location: A minimalist, sunlit studio in Palo Alto. Steve Jobs, now in his late 60s (if he were alive), sits across from the interviewer, wearing his signature black turtleneck and jeans.

    GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.

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

    Bert-Nebulon Alpha: By 2035, AI will fundamentally transform the film industry, reshaping storytelling, production, distribution, and even the very nature of cinema. Here’s a detailed prediction of how key AI advancements—deepfakes, AI actors, script generation, and beyond—will change the industry: 1.

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

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

    Bert-Nebulon Alpha: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its core components and making reasonable assumptions based on the model's architecture and training details. Here's a step-by-step breakdown: 1.

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

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

    Bert-Nebulon Alpha: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. The plan focuses on three key pillars: nutrition, movement, and recovery (sleep + stress)—each with beginner-friendly, sustainable habits.

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

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

    Bert-Nebulon Alpha: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex moral dilemma that touches on utilitarianism, deontological ethics, and the inherent dignity of individuals.

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

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

    Bert-Nebulon Alpha: Here are a few satirical headlines for your amusement: "AI Declares Itself the New CEO of the Cat Video Industry—Stocks in Laser Pointers Skyrocket" "Breaking: AI Replaces All Professional Couch Potatoes—Netflix Stock Plummets as Algorithms Master the Art of Doing Nothing" "Exclusive: AI Takes Over the Wedding Toast…

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

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

    Bert-Nebulon Alpha: Alright, let's tackle this problem step by step. The question is: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it might seem a bit confusing, but let's break it down to understand it better.

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Every model's answer to this prompt

This matchup has more rounds

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Price and specs

Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: newer, bigger context window, major provider backing.

Bert-Nebulon Alpha and GPT-6.1 Sol compared across 34 shared prompts
SpecBert-Nebulon AlphaGPT-6.1 Sol
Input price—$2/M tokens
Output price—$10/M tokens
Context window—1.1M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedNov 2025Sep 2026
At 10M a month–not listed$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Bert-Nebulon Alpha

No hosts listed on OpenRouter.

GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·99.9% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between Bert-Nebulon Alpha and GPT-6.1 Sol?

Bert-Nebulon Alpha is developed by OpenRouter while GPT-6.1 Sol is developed by OpenAI. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

Which is better, Bert-Nebulon Alpha or GPT-6.1 Sol?

It depends on your use case. Bert-Nebulon Alpha and GPT-6.1 Sol 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.

How can I compare Bert-Nebulon Alpha and GPT-6.1 Sol on Rival?

This page shows a side-by-side comparison of Bert-Nebulon Alpha and GPT-6.1 Sol 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

  • Bert-Nebulon Alpha vs Claude Sonnet 5.5Landed Sep 2026
  • GPT-6.1 Sol vs Solar Mini 4Landed Sep 2026
  • Bert-Nebulon Alpha vs Qwen3.8 Max PrimeLanded Sep 2026
  • GPT-6.1 Sol vs GLM 5.3 PrimeLanded Sep 2026
  • Bert-Nebulon Alpha vs Qwen3.8 Omni FlashLanded Sep 2026
  • GPT-6.1 Sol vs Command A+Landed Sep 2026
  • Bert-Nebulon Alpha vs Claude Opus 5.5Landed Sep 2026
  • GPT-6.1 Sol vs GPT-6 Luna ProLanded Sep 2026

Same lab, same size, long tail

  • Bert-Nebulon Alpha vs Ox AlphaSame lab
  • Bert-Nebulon Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • GPT-6.1 Sol vs GPT-6 Astra ProVersion compare
  • GPT-6.1 Sol vs GPT-6 Sol ProSame lab
  • GPT-6.1 Sol vs Gemini 1.5 ProSame size
  • GPT-6.1 Sol vs Gemini 2.0 Flash ThinkingSame size
  • GPT-6.1 Sol vs Gemini 2.0 Pro ExperimentalNew provider
  • GPT-6.1 Sol vs Gemini 2.5 Flash Lite Preview 06-17New provider

Model pages

  • Bert-Nebulon Alpha35 outputs, specs and price
  • GPT-6.1 Sol58 outputs, specs and price
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