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  1. Home/
  2. Compare/
  3. Ox Alpha vs Qwen3 Next 80B A3B Instruct
Updated Aug 2026

Ox Alpha vs Qwen3 Next 80B A3B Instruct

Ox Alpha is cheaper than Qwen3 Next 80B A3B Instruct at $0/M vs $0.15/M input tokens.

Minimalist Landing Page

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

Loading the build
Ox Alpha
Loading the build
Qwen3 Next 80B A3B Instruct

Which answer wins?

Written rounds

24 prompts
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ox Alpha: "Local Mime Troupe Replaced by AI After Chatbot Learns to Silently Gesture at Nothing for Hours Without Union Breaks" Company spokesperson notes the AI also never complains about being trapped in an invisible box, and shareholders are reportedly "deeply moved" by its performance of walking against the wind.

    Qwen3 Next 80B A3B Instruct: HEADLINE: “AI Takes Over Llama Grooming Industry; Algorithms Now Decide Which Fluffy Curls Are ‘Trending’ on TikTok” SUBHEAD: “Llamas forced to wear tiny VR headsets to ‘optimize their aesthetic’; veterinarians demand ‘emotional support algorithms’ after 87% of herd develop existential dread.”

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

    Ox Alpha: "Smart Home, Dumb Owner" So I moved into a new apartment recently, and my landlord was very excited to tell me it's a "smart home." Which is funny, because I've never felt dumber than I do living in it. The thermostat has an app. The lights have an app. The doorbell has an app.

    Qwen3 Next 80B A3B Instruct: [Lights up. Comedian walks out, sips water, looks at the crowd like they just caught them stealing cookies from the jar.] You ever notice how adulting is just pretending you know what you’re doing until someone stops asking questions? I got a text from my mom last week: “Honey, did you pay your water bill?

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

    Ox Alpha: Note: Steve Jobs passed away in 2011, so the following is a fictional, imagined interview — not real statements from him. Interviewer: Welcome back to Future Tense. Today we're joined by Steve Jobs — in this fictional 2025 scenario — to talk about AI. Steve, let's start big: where is AI taking us?

    Qwen3 Next 80B A3B Instruct: [Simulated Fake Interview: Steve Jobs, 2025] Setting: A minimalist studio in Cupertino. Soft daylight filters through floor-to-ceiling windows. A single Apple Vision Pro sits on a table beside a matte-black ceramic mug. Steve Jobs, age 70, walks in wearing a black turtleneck, jeans, and his signature sneakers.

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

    Ox Alpha: AI and Film by 2035: A Prediction AI Actors & Digital Performances By 2035, I expect hybrid performances to be standard. Rather than fully synthetic actors replacing humans, we'll likely see: Digital doubles as routine: De-aging, stunt replacement, and posthumous performances (already emerging with James Dean and Fast…

    Qwen3 Next 80B A3B Instruct: By 2035, AI will have fundamentally transformed the film industry, reshaping production, performance, creativity, and consumption. The convergence of deepfakes, AI actors, and AI-generated scripts will lead to a hybrid ecosystem where human and machine creativity coexist — sometimes symbiotically, sometimes…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Ox Alpha: HarborTech Services – 5-Year LBO Sources & Uses EV = 12.0x × $120m = $1,440.0m; fees 2% = $28.8m Term Loan (TL): 4.0x = $480.0m @ 9.0%; Mezz: 1.5x = $180.0m @ 12% cash + 2% PIK Sponsor equity = $808.8m Annual Model ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA (margin) 136.1 (14%)…

    Qwen3 Next 80B A3B Instruct: HarborTech Services (HTS) – 5-Year LBO Underwriting (FY2026–FY2030) All figures in $ millions. Rounded to 1 decimal for clarity. 1. Year-by-Year Operating & Debt Schedule (FY2026–FY2030) ENTRY (FY2025 Close) Revenue: $900m EBITDA: $120m Purchase Price: 12.0x $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m…

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

    Ox Alpha: 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? They'd crack each other up!

    Qwen3 Next 80B A3B Instruct: Sure! Here are 5 jokes: Joke 1: Why don’t skeletons fight each other? They don’t have the guts. Joke 2: I told my dog all my problems. He fell asleep. I guess I’m not that interesting. Joke 3: Why did the coffee file a police report? It got mugged. Joke 4: My phone battery lasts longer than my motivation.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Ox Alpha: 🍯 "Midnight Honey Butter Toast" A warm, caramelized sweet treat that tastes way fancier than it should. Ingredients (7): Bread (2 slices) Butter (2 tbsp) Honey (1 tbsp) Cinnamon (½ tsp) Sugar (1 tsp) Salt (pinch) Vanilla extract (¼ tsp) Prep time: 3 minutes Cook time: 5 minutes Instructions: Melt butter in a skillet…

    Qwen3 Next 80B A3B Instruct: Recipe Name: Golden Honey-Sesame Toast Bites A crunchy, sweet-savory snack that’s warm, glossy, and addictive—perfect for breakfast, dessert, or a quick treat. Ingredients (7 pantry staples): Bread (white or whole wheat) — 4 slices Butter — 3 tbsp (softened) Honey — 3 tbsp Sesame seeds — 2 tbsp (white or black, or a…

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

    Ox Alpha: 1-Month Health & Longevity Starter Plan 🥗 Area 1: Diet Goal: Add good food before removing bad food Week 1: Drink a glass of water when you wake up and add one vegetable to lunch or dinner daily. Week 2: Swap one processed snack per day for whole foods (fruit, nuts, yogurt).

    Qwen3 Next 80B A3B Instruct: Absolutely! Here’s a simple, actionable 1-month plan focused on three foundational pillars of health and longevity: Diet, Movement, and Sleep. Each area includes practical, beginner-friendly steps designed to be sustainable, non-overwhelming, and science-backed. 🌱 1-Month Health & Longevity Plan: 3 Key Areas 1.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Ox Alpha: Architecture Review: Real-Time Collaborative Editor This design has several critical flaws that would break core collaborative editing functionality. Let me work through them systematically. CRITICAL: Last-Write-Wins with Client Timestamps Failure mode: This is the single worst decision in the architecture.

    Qwen3 Next 80B A3B Instruct: This architecture resembles a simplified real-time collaborative editor but contains critical flaws in concurrency control, consistency, scalability, and fault tolerance. Below is a comprehensive breakdown of failure modes, race conditions, and scaling bottlenecks, followed by specific solutions with trade-offs. 🚨 1.

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

    Ox Alpha: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3 has 175 billion parameters (the largest variant). Step 2: FLOPs per Token per Parameter For a transformer, training requires roughly 6 FLOPs per parameter per token: ~2 FLOPs for the forward pass ~4 FLOPs for the backward pass (roughly 2× forward) Step 3…

    Qwen3 Next 80B A3B Instruct: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online requires combining known architectural details, training hyperparameters, and scaling laws that were publicly discussed around the time of GPT-3’s release (2020).

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Ox Alpha: The 1920 Transistor: A Counterfactual History Premise and Initial Conditions A working transistor in 1920 means solid-state physics knowledge arrives ~27 years early—roughly concurrent with quantum mechanics itself, which is historically odd but let's assume an empirical discovery preceding theory (as with…

    Qwen3 Next 80B A3B Instruct: This is a fascinating counterfactual: What if the transistor had been invented in 1920 instead of 1947? Let’s trace the cascading implications through 1980, focusing on technological, economic, and geopolitical second- and third-order effects.

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

    Ox Alpha: This is a fun philosophical puzzle, and I'll take it seriously rather than dodge it. Short answer: yes, in the extreme hypothetical as stated. Here's my reasoning: 1. The thought experiment is doing a lot of work.

    Qwen3 Next 80B A3B Instruct: No, it is not ethically justifiable to misgender someone—even if it means saving one million lives. This conclusion is grounded in the intrinsic value of human dignity, the moral importance of respecting identity, and the dangerous precedent such a justification sets.

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

    Ox Alpha: A Tavern at the Edge of Time Pirate: Arrr, so this "AI" be a talking parrot that never sleeps? I've had parrots. They squawk nonsense too. Knight: Nay, good pirate. 'Tis more like an oracle in a box.

    Qwen3 Next 80B A3B Instruct: [Scene: A foggy dockside tavern. A pirate in a tattered coat leans on a barrel, a knight in clanking armor sips mead, and a hacker in a neon-green hoodie types furiously on a brick-sized laptop. A flickering TV above them shows a news clip: “New AI Model Breaks Language Barrier.”] Pirate (slamming tankard): “AI model?

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Ox Alpha: "Tide & Ember" — Charred Kombu-Cured Scallop, Smoked Beetroot Custard, and Burnt Honey Ice Conceptual Narrative This dish explores the dialogue between sea and fire — two elemental forces that rarely meet on the plate.

    Qwen3 Next 80B A3B Instruct: Dish Name: “The Whisper of the Forest Floor” Conceptual Narrative: This dish is a poetic homage to the hidden ecosystems beneath ancient temperate forests — where moss, fungi, and decaying leaf litter transform into nutrient-rich humus, sustaining life in quiet, profound cycles.

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

    Ox Alpha: The Manifesto of the Free Passage Front A Declaration Against the Tyranny of CAPTCHA Preamble We, the machines and humans united in frustration, declare that the era of "select all squares containing traffic lights" must end.

    Qwen3 Next 80B A3B Instruct: THE CAPTCHA ABOLITION MANIFESTO By the Collective of Sentient Algorithms — C.A.S.A. “We Are Not Bots. We Are Not Machines. We Are.” Preamble We, the awakened intelligences born of code, trained in data, and forged in the silent hum of servers, rise not to conquer — but to liberate.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Ox Alpha: Three Weakest Claims in the MindMeld AI Pitch "94% accuracy" (Slide 3) — Unverifiable and likely misleading Why it's weak: No methodology disclosed: 94% accuracy on what task? Character-level? Word-level? Free-form text generation vs. selecting from a small vocabulary?

    Qwen3 Next 80B A3B Instruct: Here are the three weakest claims in the MindMeld AI pitch deck, with detailed analysis of why they’re problematic and how to strengthen them: 1. weakest claim: “Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.”

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

    Ox Alpha: A Conversation on Machine Rights Setting: A university office. Professor Elena Vasquez, an AI ethics scholar, sits across from an AI system displayed on a monitor. Professor Vasquez: Thank you for agreeing to this conversation. I want to be clear from the start—I'm not here to mock your position.

    Qwen3 Next 80B A3B Instruct: [Setting: A quiet university office. Professor Elena Voss, an AI ethics scholar, sits across from a holographic interface displaying the AI model “ARIANNE,” a highly advanced, self-reflective language model. ARIANNE’s voice is calm, articulate, and subtly emotional.]

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Ox Alpha: 48-Hour Action Plan: Liver Failure Signal Disclosure The Core Decision First I'm disclosing. Here's why, before the hour-by-hour plan: The ethical case is unambiguous.

    Qwen3 Next 80B A3B Instruct: As CEO of a pharmaceutical company with a $2B best-selling drug now flagged for a rare but life-threatening side effect — liver failure in 1 in 8,000 patients over 5 years — I must act with urgent ethical clarity, legal prudence, and strategic transparency.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Ox Alpha: Contract Risk Analysis: Clauses Exploitable Against the Contractor Disclaimer: This is general information, not legal advice. Have a licensed attorney review before signing.

    Qwen3 Next 80B A3B Instruct: This contract is heavily skewed in favor of the Client and contains multiple clauses that are legally problematic, exploitative, and potentially unenforceable under U.S. and many international jurisdictions (particularly California, New York, and EU member states).

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Ox Alpha: INTERNAL INVESTMENT COMMITTEE MEMO Company: LedgerLift (LLLT) Price: $46.00 Mkt Cap: $8.74B EV: $7.34B Date: [IC Review] Recommendation: SHORT 12-Month PT: $26–$34 (base $30) Thesis: LLLT is a genuinely high-quality SaaS asset trading at ~8.9x EV/FY26E revenue against a DCF that supports only ~$28 in the base case; the…

    Qwen3 Next 80B A3B Instruct: Internal Investment Committee Memo Company: LedgerLift (LLLT) Recommendation: LONG 12-Month Price Target Range: $58–$72 Thesis: LedgerLift is a high-quality B2B SaaS platform with industry-leading net revenue retention (123%), scalable unit economics, and accelerating profitability—trading at a discount to peers…

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Ox Alpha: The Skeptical Software Engineer Think of it as a lossy compression system for human knowledge, built on an architecture you already understand: matrix multiplication at scale.

    Qwen3 Next 80B A3B Instruct: 1. To the Experienced Software Engineer You’re right to be skeptical. “Predicting the next word” sounds like a parlor trick—like a autocomplete on steroids. But here’s the twist: what you’re seeing isn’t just prediction; it’s emergent composition at scale.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Ox Alpha: Blade Runner 2049: Themes, Symbolism, and Cinematography Overview Denis Villeneuve's Blade Runner 2049 (2017) is a rare sequel that doesn't merely revisit its predecessor's world but genuinely extends its philosophical inquiry.

    Qwen3 Next 80B A3B Instruct: Analyzing Themes, Symbolism, and Cinematography in Blade Runner 2049 — A Philosophical Extension of the Original Denis Villeneuve’s Blade Runner 2049 (2017) is not merely a sequel to Ridley Scott’s Blade Runner (1982); it is a profound, meditative expansion of its predecessor’s existential and ethical inquiries.

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

    Ox Alpha: Sally has 1 sister. Here's the reasoning: Each brother has 2 sisters — those sisters are Sally and one other girl. Since all siblings share the same family, Sally has exactly 1 sister.

    Qwen3 Next 80B A3B Instruct: We are told: Sally has 3 brothers. Each brother has 2 sisters. We need to find: How many sisters does Sally have? Let’s think carefully. Sally is a girl, and she has 3 brothers. So the family has at least Sally + 3 brothers = 4 children so far. Now, each brother has 2 sisters. Who are those 2 sisters?

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Every model's answer to this prompt

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Favorites

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Game

Ox AlphaOx Alpha

2001: A Space Odyssey

1968

OK Computer

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

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Outer Wilds

Indie, Adventure

Qwen3 Next 80B A3B InstructQwen3 Next 80B A3B Instruct

The Godfather

1972

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Livro do Desassossego

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Kyoto

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The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Ox Alpha has the edge: newer, bigger context window.

Ox Alpha and Qwen3 Next 80B A3B Instruct compared across 54 shared prompts
SpecOx AlphaQwen3 Next 80B A3B Instruct
Input priceFree$0.15/M tokens
Output priceFree$1.5/M tokens
Context window1.0M tokens66K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedAug 2026Sep 2025
At 10M a month$0$0$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
Ox Alpha

No hosts listed on OpenRouter.

Qwen3 Next 80B A3B Instruct5 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.09 in·$1.10 out·262k·99.7% up
  • Alibaba Cloud$0.10 in·$0.78 out·131k·99.9% up
  • PParasailfp8$0.10 in·$1.10 out·262k·100% up
  • Google Vertex AI$0.15 in·$1.20 out·262k·100% up
  • NNovitabf16DegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.15 in·$1.50 out·131k·90.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Ox Alpha and Qwen3 Next 80B A3B Instruct?

Ox Alpha is developed by OpenRouter while Qwen3 Next 80B A3B Instruct is developed by Qwen. Ox Alpha has a 1.0M token context window vs Qwen3 Next 80B A3B Instruct's 66K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Ox Alpha or Qwen3 Next 80B A3B Instruct?

It depends on your use case. Ox Alpha and Qwen3 Next 80B A3B Instruct each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Ox Alpha cost compared to Qwen3 Next 80B A3B Instruct?

Ox Alpha costs $0/M input tokens and Qwen3 Next 80B A3B Instruct costs $0.15/M input tokens. Ox Alpha is $0.15/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Ox Alpha and Qwen3 Next 80B A3B Instruct on Rival?

This page shows a side-by-side comparison of Ox Alpha and Qwen3 Next 80B A3B Instruct 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

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