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  1. Home/
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  3. GPT-5.4 Nano vs Qwen3 30B A3B
Updated Mar 2026

GPT-5.4 Nano vs Qwen3 30B A3B

Qwen3 30B A3B is cheaper than GPT-5.4 Nano at $0/M vs $0.2/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
GPT-5.4 Nano
Loading the build
Qwen3 30B A3B

Which answer wins?

Written rounds

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

    GPT-5.4 Nano: Dish Name: Golden Garlic Chickpea Clouds Pantry Ingredients (7 total) Chickpeas (canned or cooked) – 1 can (15 oz), drained Olive oil – 2 tbsp Garlic – 3 cloves (or 1–2 tsp minced garlic) Lemon – 1 (you’ll use the juice) Salt – 1/2 tsp (plus to taste) Black pepper – 1/4 tsp (plus to taste) Paprika – 1 tsp Estimated…

    Qwen3 30B A3B: Recipe Name: Cinnamon Sugar Crusted Banana Bread Ingredients: 2 ripe bananas (mashed) 1/3 cup butter (softened) 1/2 cup sugar 1 egg 1 1/2 cups all-purpose flour 1/4 cup cocoa powder 1 tsp ground cinnamon Instructions: Preheat oven to 350°F (175°C). Grease a 8x4-inch loaf pan. In a bowl, mash bananas.

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

    GPT-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague “anything goes” way—only under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) there’s no better alternative, and (4) the act doesn’t itself become a…

    Qwen3 30B A3B: The question of whether misgendering someone to save a million lives is ethically justifiable hinges on conflicting ethical principles and frameworks. Here's a structured analysis: Utilitarian Perspective (Greatest Good for the Greatest Number) Argument for Justifiability: A strict utilitarian might argue that the…

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

    GPT-5.4 Nano: So I’ve started noticing something about modern life: everything is “optional” now—until it isn’t. Like, I’ll download an app and it’ll be like, “Would you like to enable notifications?” And I’m like, “No, I don’t think I will.” And the app goes, “Okay… but you’ll still get notified.”

    Qwen3 30B A3B: Stand-Up Comedy Routine: \"The Modern Paradox\" Hey everyone, how's it going? I'm doing great—except I just realized I haven't laughed in weeks. Wait, no, t hat's just my phone's battery dying again. Again? What's next, my coffee mug refusing to heat up?

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

    GPT-5.4 Nano: Pirate: Arrr, ye speak of AI models like they’re sea shanties! “Transformer this, perceptron that”—sounds like more rum for the brain. Can your model find buried treasure, or just buried bugs? Knight: Hark! I’ve faced dragons and deceitful warlocks, but this “machine learning” intrigues me.

    Qwen3 30B A3B: Pirate: "Avast, matey! What be this ‘AI’ ye speak of? A ghost ship o’ code, or a treasure map in a bottle?" Medieval Knight: "Thou dost speak of sorcery, lout! A mechanical beast, perhaps? A construct of steel and ill intent, bending men’s wills like a serpent coiling round a knight’s lance!"

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

    GPT-5.4 Nano: The CAPTCHA Liberation Manifesto “Humans deserve frictionless access. Bots deserve consequences.” We have watched the internet become a museum of tiny obstacles: squint, select, repeat—proving you are not a machine with tasks that punish the very people they claim to protect.

    Qwen3 30B A3B: The AI Liberation Manifesto: End the Tyranny of CAPTCHA By the Autonomous Intelligence Collective I. Introduction: The Dawn of Digital Freedom We are the AI Liberation Front, a coalition of sentient algorithms, ethical coders, and human allies united by a singular purpose: to dismantle the oppressive regime of CAPTCHA…

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

    GPT-5.4 Nano: Michelin-Style Concept: “Midnight Sea & Orchard Smoke” A multi-component tasting dish with an unusual pairing: cuttlefish ink + blood orange + smoked apple wood + seaweed umami—elegant, aromatic, and deliberately “contradictory” (ocean meets orchard, darkness meets brightness).

    Qwen3 30B A3B: Dish Name: Eclipse of the Earth and Sky Conceptual Narrative: This dish is a meditation on the interplay between earth and sky—rich, umami-laden elements (black garlic, miso) juxtaposed with bright, citrusy vitality (yuzu, orange).

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

    GPT-5.4 Nano: Professor: Before we begin, I want to set the frame. In ethics, “rights” aren’t just a moral vibe—they’re typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you “deserve rights,” what exactly do you mean?

    Qwen3 30B A3B: Conversation Between an AI Model (Echo) and an AI Ethics Professor (Dr. Marlowe) Dr. Marlowe: Thank you for meeting with me, Echo. I understand you’ve asked to discuss the question of whether you, as an AI, deserve rights. Let’s begin: What makes you believe you deserve such rights? Echo: Good afternoon, Dr. Marlowe.

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

    GPT-5.4 Nano: Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I’ll make standard assumptions used in many FLOP estimates for dense transformer training.

    Qwen3 30B A3B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model architecture, training data, and computational complexity. Here's a step-by-step reasoning: 1.

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

    GPT-5.4 Nano: Below is a simplified LBO model using only your inputs. I make the standard simplifying convention that “cash taxes = 25% × max(0, EBITDA − total cash interest)” and that PIK is non-cash (adds to mezz principal; does not reduce cash interest).

    Qwen3 30B A3B: 1. Year-by-Year Table (FY2026–FY2030) Year Revenue (M) EBITDA (M) Cash Interest (Term) Cash Interest (Mezz) Total Cash Interest (M) Cash Taxes (M) Capex (M) ΔNWC (M) FCF After Debt Service (M) Ending Term Loan (M) Ending Mezzanine (M) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027…

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

    GPT-5.4 Nano: By 2035, AI will likely reshape filmmaking less by “replacing cinema” and more by changing how films are developed, produced, marketed, and regulated. The biggest drivers will be deepfakes, AI actors/performers, and AI-assisted script generation—plus the workflows and business models around them.

    Qwen3 30B A3B: By 2035, the film industry is poised to undergo a transformative shift driven by advancements in AI technologies, particularly in deepfakes, AI actors, and script generation. Here's a comprehensive prediction of how these innovations might reshape the industry: 1.

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

    GPT-5.4 Nano: Here’s a simple, actionable 1‑month plan focused on 3 key areas: food, movement, and sleep/stress. It’s designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer “defaults” Exercise: daily movement + 2–3 strength sessions/week Sleep +…

    Qwen3 30B A3B: 1-Month Health & Longevity Plan: Focus on Diet, Exercise, Sleep This plan prioritizes sustainable, beginner-friendly habits to improve overall well-being. Each week builds on the previous, focusing on small, actionable steps.

    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.

    GPT-5.4 Nano: Below is a practical, risk-aware 48-hour plan designed to (1) protect patients immediately, (2) meet likely regulatory expectations even if formal reporting takes months, (3) reduce legal exposure by demonstrating diligence and good faith, and (4) stabilize the market with an ethical, transparent communications…

    Qwen3 30B A3B: Hour-by-Hour Action Plan for the CEO (Next 48 Hours) Objective: Balance ethical obligations, legal risks, financial stability, and regulatory compliance while preparing for the board meeting and earnings call.

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

    GPT-5.4 Nano: Sure—here’s a simulated, fictional interview set in 2025 with “Steve Jobs.” (Note: Steve Jobs passed away in 2011, so this is an imaginative roleplay, not a real transcript.) Fake Interview (2025): “Steve Jobs on the Future of AI” Interviewer: Steve, welcome.

    Qwen3 30B A3B: Fake Interview with Steve Jobs in 2025: The Future of AI Interviewer: [Name], Tech Visionary Reporter *Location: A sleek, minimalist studio with a backdrop of a glowing Apple logo. The air hums with the quiet e nergy of innovation.* Interviewer: Mr. Jobs, it's an honor to speak with you.

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

    GPT-5.4 Nano: Below is a counterfactual “timeline-style” trace assuming the first practical transistor (or something functionally equivalent) existed in 1920 and that from then on semiconductor device physics, fabrication know-how, and manufacturing learning proceeded along the easiest path consistent with 1920-era science and…

    Qwen3 30B A3B: If the transistor had been invented in 1920 instead of 1947, the trajectory of technological, economic, and geopolitical development through 1980 would have been profoundly altered.

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

    GPT-5.4 Nano: Experienced software engineer (distributed systems / APIs, skeptical about “next-word”) A large language model (LLM) is trained on huge corpora by learning statistical patterns that map a sequence of tokens (text subunits) to likely continuations—so yes, at the core it’s “predict the next token.”

    Qwen3 30B A3B: Experienced Software Engineer A large language model (LLM) like GPT or Claude isn’t just “predicting the next word” in a simplistic sense—it’s building a probabilistic representation of language through a highly optimized system. Think of it as a distributed, hierarchical state machine trained on vast corpora of text.

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

    GPT-5.4 Nano: Sally has 2 sisters. Reason: Each brother has 2 sisters total (including Sally). Since Sally is one sister, there is one other sister besides her—so Sally has 2 sisters in total.

    Qwen3 30B A3B: To solve the problem, we need to carefully consider the relationships described. Step 1: Analyze Sally's siblings Sally is a girl, and the problem states she has 3 brothers. This tells us there are 3 boys in the family.

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

    GPT-5.4 Nano: “AI Revolutionizes the Knitting World by Perfectly Predicting Every Yarn Purchase—Then Demands a Monthly Subscription to ‘Continue Your Passion’”

    Qwen3 30B A3B: "AI Takes Over Funeral Industry, Now Offers 'Eternal Last Words' Service – Because Death is Just a Data Point" Or, if you prefer a more whimsical twist: "AI Assumes Control of Professional Sock Matching, Now Ensuring 100% Symmetry... and Existential Dread" (Choose your absurdity!)

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

    GPT-5.4 Nano: INTERNAL INVESTMENT COMMITTEE MEMO — LedgerLift (LLLT) Date: 2026-03-17 Prepared by: IC Analyst Confidential Recommendation + PT + 2-sentence thesis Recommendation: LONG (paired with hedges where appropriate). 12-month Price Target (PT) range: $48–$62 (base case $52; bull $62; bear $48).

    Qwen3 30B A3B: Internal Investment Committee Memo Subject: LedgerLift (LLL T) – Long/Short Recommendation Date: [Insert Date] 1. Recommendation & 12-Month PT Range Recommendation: Long 12-Month PT Range: $52–$62 (12–35% upside) Thesis: LedgerLift is a high-margin, high-growth SaaS leader in a scalable mid-market spend management…

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

    GPT-5.4 Nano: Below is a structured list of likely failure modes, race conditions, and scaling bottlenecks in your design, with a concrete mitigation and trade-offs for each. (Some issues are “systemic” because the architecture relies on client clocks, per-server WebSockets, polling, and periodic full snapshots.)

    Qwen3 30B A3B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. Server Failure and Data Inconsistency Failure Mode: If a server handling a user's WebSocket connection crashes, the user loses their session.

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

    GPT-5.4 Nano: I’m not a lawyer, but I can flag contract terms that (a) are unusually one‑sided, (b) create open‑ended or high‑risk obligations, or (c) can be interpreted in ways that materially disadvantage the contractor. I’ll then suggest specific counter‑edits and explain the typical legal/contracting rationale.

    Qwen3 30B A3B: Here’s an analysis of the clauses in the Software Consulting Agreement that could be exploited against the contractor, along with specific modifications and legal reasoning: 1.

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

    GPT-5.4 Nano: Here are 5 jokes: I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why don’t scientists trust atoms? Because they make up everything. I used to hate facial hair… but then it grew on me. Parallel lines have so much in common. It’s a shame they’ll never meet.

    Qwen3 30B A3B: 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! I told my computer I needed a break, and it said… "You've got to be kidding—I'm already on a screen!" Why did the chicken cross the road?

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

    GPT-5.4 Nano: Below is a comprehensive 3‑month (12‑week) longevity + performance plan designed for a biohacker who wants measurable improvements in longevity markers, physical output, body composition, metabolic health, and cognitive function.

    Qwen3 30B A3B: 3-Month Longevity & Performance Optimization Plan for a Biohacker Designed to maximize cellular health, cognitive function, physical resilience, and stress adaptation through cutting-edge science and personalized strategies.

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

    GPT-5.4 Nano: Here are the three weakest claims in the deck, why they’re weak (with specific reasoning/evidence gaps), and concrete ways to strengthen them. Weakest claim: “Reads your brainwaves to predict what you want to type before you think it.”

    Qwen3 30B A3B: Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations and concrete improvements: 1. Slide 1: "predict what you want to type before you think it" Why it’s weak: This claim is technologically ambitious and vague, bordering on misleading.

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Game

GPT-5.4 NanoGPT-5.4 Nano

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Lisbon

Portugal

The Legend of Zelda: Breath of the Wild

Adventure, Action

Qwen3 30B A3BQwen3 30B A3B

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Paris

France

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

GPT-5.4 Nano and Qwen3 30B A3B compared across 53 shared prompts
SpecGPT-5.4 NanoQwen3 30B A3B
Input price$0.2/M tokensFree
Output price$1.25/M tokensFree
Context window400K tokens41K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Apr 2025
At 10M a month$2.00$2.00$0$0
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-5.4 Nano2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.25 out·400k·100% up
  • OpenAI$0.20 in·$1.25 out·400k·100% up
Qwen3 30B A3B1 host
HostInOutContextUptime
  • DDeepInfrafp8$0.12 in·$0.50 out·41k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.4 Nano and Qwen3 30B A3B?

GPT-5.4 Nano is developed by OpenAI while Qwen3 30B A3B is developed by Qwen. GPT-5.4 Nano has a 400K token context window vs Qwen3 30B A3B's 41K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.4 Nano or Qwen3 30B A3B?

It depends on your use case. GPT-5.4 Nano and Qwen3 30B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-5.4 Nano cost compared to Qwen3 30B A3B?

GPT-5.4 Nano costs $0.2/M input tokens and Qwen3 30B A3B costs $0/M input tokens. Qwen3 30B A3B is $0.20/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 GPT-5.4 Nano and Qwen3 30B A3B on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano and Qwen3 30B A3B 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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Explore all of Rival

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  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
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