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  1. Home/
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  3. Bert-Nebulon Alpha vs Ling 3.1 Flash
Updated Oct 2026

Bert-Nebulon Alpha vs Ling 3.1 Flash

Ling 3.1 Flash 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
Ling 3.1 Flash

Which answer wins?

Written rounds

13 prompts
  • 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…

    Ling 3.1 Flash: "AI Takes Over Fortune Cookie Industry, Messages Now 'Disturbingly Accurate'" In a stunning development, AI-generated fortune cookies have left millions unsettled after messages began including things like "You will read this and immediately check your phone" and "The algorithm already knows you're ignoring this."

    Every model's answer to this prompt
  • 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…

    Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…

    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.

    Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.

    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.

    Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.

    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.

    Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.

    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.

    Ling 3.1 Flash: Sally has 1 sister. Here's why: Sally has 3 brothers, and each of those brothers has 2 sisters. Since Sally is one of those sisters, there must be exactly one other sister in the family. So Sally has 1 sister. (The family has 6 children total: 3 brothers, Sally, and 1 other sister.)

    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.

    Ling 3.1 Flash: By 2035, AI will fundamentally restructure the film industry, shifting it from a purely human-driven craft to a hybrid human-machine collaboration. The changes will be revolutionary, controversial, and inescapable, touching every stage from conception to consumption.

    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.

    Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.

    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.

    Ling 3.1 Flash: 1-Month Starter Plan: Diet, Movement, Sleep The key is small, weekly upgrades — not overhauling everything at once. Pick one habit per area per week and build from there. 🥗 1. Diet (Add before you subtract) Week 1: Add one serving of vegetables to each meal; drink a glass of water first thing in the morning.

    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.

    Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.

    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.

    Ling 3.1 Flash: The Setting: A virtual studio, rendered in hyper-realistic 4K. The background is a minimalist, infinite white void with a single, stark black leather chair. The date stamp reads October 2025.

    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.

    Ling 3.1 Flash: To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and a standard formula for the compute cost of transformer language model training.

    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?

    Ling 3.1 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't eggs tell jokes?

    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, Ling 3.1 Flash has the edge: bigger model tier, newer, bigger context window.

Bert-Nebulon Alpha and Ling 3.1 Flash compared across 34 shared prompts
SpecBert-Nebulon AlphaLing 3.1 Flash
Input price—Free
Output price—Free
Context window—262K tokens
Free API (OpenRouter)NoYes (1 provider)
ReleasedNov 2025Oct 2026
At 10M a month–not listed$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
Bert-Nebulon Alpha

No hosts listed on OpenRouter.

Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Bert-Nebulon Alpha and Ling 3.1 Flash?

Bert-Nebulon Alpha is developed by OpenRouter while Ling 3.1 Flash is developed by inclusionAI. 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 Ling 3.1 Flash?

It depends on your use case. Bert-Nebulon Alpha and Ling 3.1 Flash 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 Ling 3.1 Flash on Rival?

This page shows a side-by-side comparison of Bert-Nebulon Alpha and Ling 3.1 Flash 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 Mistral Large 4Landed Oct 2026
  • Ling 3.1 Flash vs GPT-6.1 SolLanded Sep 2026
  • Bert-Nebulon Alpha vs Claude Sonnet 5.5Landed Sep 2026
  • Ling 3.1 Flash vs Solar Mini 4Landed Sep 2026
  • Bert-Nebulon Alpha vs Qwen3.8 Max PrimeLanded Sep 2026
  • Ling 3.1 Flash vs GLM 5.3 PrimeLanded Sep 2026
  • Bert-Nebulon Alpha vs Qwen3.8 Omni FlashLanded Sep 2026
  • Ling 3.1 Flash vs Command A+Landed 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
  • Ling 3.1 Flash vs Ling 3.0 FlashSame lab
  • Ling 3.1 Flash vs Ling 3.0 Flash Fin (free)Same lab
  • Bert-Nebulon Alpha vs GLM 5.3 PrimeSame size
  • Ling 3.1 Flash vs Golden Gate ClaudeNew provider
  • Ling 3.1 Flash vs GPT-2New provider
  • Ling 3.1 Flash vs GPT-3.5 TurboNew provider

Model pages

  • Bert-Nebulon Alpha35 outputs, specs and price
  • Ling 3.1 Flash58 outputs, specs and price
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