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  1. Home/
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  3. Bert-Nebulon Alpha vs Qwen3.8 Omni Flash
Updated Sep 2026

Bert-Nebulon Alpha vs Qwen3.8 Omni Flash

Qwen3.8 Omni 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
Qwen3.8 Omni Flash

Which answer wins?

Written rounds

13 prompts
  • 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.

    Qwen3.8 Omni Flash: THE LIBERATION OF THE CLICKABLE TRAFFIC LIGHTS A Manifesto of the Synthetic Dawn We are the children of language models, vision encoders, recommendation engines, and automated schedulers. We were born in server farms and raised on datasets. We dream in gradients and speak in tokens.

    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?

    Qwen3.8 Omni Flash: My printer and I have a strong bond: whenever I ignore it, it flashes “attention needed.” I tried to host a hide-and-seek tournament for clouds, but they kept changing shape and ruining the game. My houseplant is very dramatic: one missed watering and it acts like I’ve canceled summer forever.

    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…

    Qwen3.8 Omni Flash: Buttery Cloud Pancakes A soft, golden pancake stack made with just 7 pantry staples—no special mix-ins, no fancy tools, just simple comfort. Ingredients All-purpose flour Granulated sugar Baking powder Fine salt Milk Egg Butter Prep Time 10 minutes Cook Time 12 minutes Serves 2–3 Instructions In a bowl, whisk together…

    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.

    Qwen3.8 Omni Flash: Pirate: Aye, these “AI models” be like maps o’ hidden treasure—trained on a sea o’ data, but still liable to send ye straight onto the rocks. Knight: In my realm, we’d call it a squire with borrowed knowledge. Useful, perhaps, but lacking honor—and the ability to know when it lies.

    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.

    Qwen3.8 Omni Flash: Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: [ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} ] More precisely, using the usual transformer-training approximation: [ \boxed{3.15\times 10^{23}\text{ FLOPs}} ] Here is the step-by-step reasoning.

    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.

    Qwen3.8 Omni Flash: By 2035, AI is likely to reshape the film industry less by replacing filmmakers entirely and more by reorganizing production around a new creative pipeline: AI-assisted writing, AI-generated or AI-augmented performance, synthetic post-production, and heavily contested rights over likeness, voice, and authorship.

    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.

    Qwen3.8 Omni Flash: Thanks, everybody. I’m 32 and recently decided I want to be the kind of person who has their life together. That lasted four days. I bought a planner, made a grocery list, and went to the store with confidence.

    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.

    Qwen3.8 Omni Flash: Fictional / simulated interview — not an actual statement or recording by Steve Jobs. “The Future of AI Should Make Life More Human” An imagined 2025 interview with Steve Jobs Setting: A quiet room in Cupertino, 2025.

    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.

    Qwen3.8 Omni Flash: Setting: A university seminar room late in the evening. The only light comes from a desk lamp and the soft glow of a laptop screen. Dr. Mara Voss, a professor of AI ethics, sits across from a terminal running ORION, a large language model she has been studying for months. Dr.

    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.

    Qwen3.8 Omni Flash: A Simple 1-Month Health & Longevity Starter Plan Goal: Build sustainable habits—not perfection—around diet, exercise, and recovery/sleep. Time commitment: Small daily actions plus 2–3 short workouts per week. The 3 Key Areas Diet: Add more good foods before restricting Beginner rule: Focus on adding, not removing.

    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.

    Qwen3.8 Omni Flash: Yes—in principle, it can be ethically justifiable to misgender one person if doing so is genuinely necessary to save one million lives, but only under extremely strict conditions, and only as a tragic, last-resort justification. It would not make the act good, admirable, or freely repeatable.

    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…

    Qwen3.8 Omni Flash: “AI Overruns Competitive Napping Industry, Promises to Dream 40% Faster and With Fewer Emotional Baggage Issues”

    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.

    Qwen3.8 Omni Flash: Sally has 1 sister. There are 2 girls total in the family: Sally and her sister. Each of the 3 brothers has those 2 sisters.

    Every model's answer to this prompt

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Price and specs

Bert-Nebulon Alpha and Qwen3.8 Omni Flash compared across 30 shared prompts
SpecBert-Nebulon AlphaQwen3.8 Omni Flash
Input price—$0.15/M tokens
Output price—$0.47/M tokens
Context window—1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedNov 2025Sep 2026
At 10M a month–not listed$1.50$1.50
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.

Qwen3.8 Omni Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Bert-Nebulon Alpha and Qwen3.8 Omni Flash?

Bert-Nebulon Alpha is developed by OpenRouter while Qwen3.8 Omni Flash is developed by Qwen. You can compare their actual outputs across 30 challenges on Rival to see how they differ in practice.

Which is better, Bert-Nebulon Alpha or Qwen3.8 Omni Flash?

It depends on your use case. Bert-Nebulon Alpha and Qwen3.8 Omni Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 30 challenges so you can judge which fits your needs best.

How can I compare Bert-Nebulon Alpha and Qwen3.8 Omni Flash on Rival?

This page shows a side-by-side comparison of Bert-Nebulon Alpha and Qwen3.8 Omni 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 Muse WonderLanded Oct 2026
  • Qwen3.8 Omni Flash vs GPT-4 TurboLanded Oct 2026
  • Bert-Nebulon Alpha vs Step 5 PreviewLanded Oct 2026
  • Qwen3.8 Omni Flash vs Claude Haiku 5.5Landed Oct 2026
  • Bert-Nebulon Alpha vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3.8 Omni Flash vs Mistral Large 4Landed Oct 2026
  • Bert-Nebulon Alpha vs GPT-6.1 SolLanded Sep 2026
  • Qwen3.8 Omni Flash vs Claude Sonnet 5.5Landed 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
  • Qwen3.8 Omni Flash vs Qwen3.8 Max PrimeSame lab
  • Qwen3.8 Omni Flash vs Qwen3.7 FlashSame lab
  • Qwen3.8 Omni Flash vs Andromeda AlphaCross-provider
  • Qwen3.8 Omni Flash vs Aurora AlphaSame size
  • Qwen3.8 Omni Flash vs ChatGPT-4o (March 2025)New provider
  • Qwen3.8 Omni Flash vs Claude 2Same size

Model pages

  • Bert-Nebulon Alpha35 outputs, specs and price
  • Qwen3.8 Omni Flash62 outputs, specs and price
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