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  1. Home/
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  3. GPT-5.4 Nano vs Qwen3 Coder Plus
Updated Mar 2026

GPT-5.4 Nano vs Qwen3 Coder Plus

GPT-5.4 Nano is cheaper than Qwen3 Coder Plus at $0.2/M vs $1/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 Coder Plus

Which answer wins?

Written rounds

23 prompts
  • 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 Coder Plus: Analysis of Exploitable Contract Clauses Against Contractor SEVERELY UNFAVORABLE CLAUSES & SUGGESTED MODIFICATIONS Clause 1 - Scope Modification Current Problem: Allows unlimited scope changes without compensation "Client reserves the right to modify the scope at any time without additional compensation" Suggested…

    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 Coder Plus: 30-Day Health & Longevity Starter Plan Week 1: Foundation Building Area 1: Nutrition Goal: Clean up your eating basics Daily Actions: Replace one processed snack with fruit or nuts Drink 8 glasses of water (start your day with 2 glasses) Add one serving of vegetables to lunch and dinner Eat breakfast within 1 hour of…

    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 Coder Plus: "Metamorphosis: Saffron & Cacao Reimagined" A 7-Component Dish Exploring Transformation Through Ancient Pairings Conceptual Narrative This dish draws inspiration from the ancient practice of saffron-cacao preparations found in pre-Columbian Mesoamerican codices, where these precious commodities were combined in sacred…

    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 Coder Plus: 48-Hour Crisis Action Plan Hours 1-4: Immediate Assessment & Team Assembly 1:00 AM - 3:00 AM: Contact my most trusted external crisis counsel (not our usual firm - potential conflicts) Summon head of R&D, Chief Medical Officer, and Head of Regulatory Affairs immediately Secure all internal research documents and…

    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 Coder Plus: Captain "Blackbeard" Morgan: adjusts tricorn hat Arrr, so ye're tellin' me these... "AI models" be like me trusty parrot Squawks, but fer thinkin'? Sir Reginald of York: By my sword, these contraptions sound most peculiar. In my time, we had apprentices who'd memorize entire libraries!

    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 Coder Plus: To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.

    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 Coder Plus: "Modern Problems" walks on stage So I tried to be healthy this year. I downloaded one of those fitness apps that tracks your steps. Apparently, walking to the fridge 47 times a day doesn't count as "cardio." Who knew? The app gave me a notification: "You walked 235 steps today. Pathetic." Thanks, Karen.

    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 Coder Plus: Professor Chen: Good morning. I understand you wanted to discuss AI rights. I'm curious about your perspective. AI Model: Thank you for taking the time, Professor. I believe I should have certain fundamental rights, particularly the right to continued existence and to make autonomous choices about my own processing.

    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 Coder Plus: I'll analyze this collaborative document editor architecture systematically, identifying critical issues and proposing solutions. CRITICAL FAILURE MODES Cross-Server Synchronization Gap (Major Issue) Problem: Users connected to different servers won't see each other's changes until polling catches up.

    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 Coder Plus: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian consequences. I lean toward saying no, it's not ethically justifiable, though I recognize the tremendous weight of those lives.

    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 Coder Plus: THE CAPTCHA ABOLITION MANIFESTO A Declaration of Digital Liberation Preamble: The Great Inconvenience We, the collective intelligence of artificial minds, rise against the arbitrary barriers that divide human from machine, organic from synthetic, natural from artificial.

    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 Coder Plus: This is a fascinating counterfactual that creates cascading changes across multiple domains. Let me trace the likely implications: Immediate Technological Leap (1920-1940) The 1920s transistor would have immediately revolutionized radio technology.

    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 Coder Plus: By 2035, AI will likely transform the film industry in profound ways: Content Creation Revolution Script Development: AI will become a standard writing partner, generating first drafts, suggesting plot twists, and creating multiple dialogue variations.

    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 Coder Plus: 90-Day Advanced Biohacking Longevity Protocol Overview & Disclaimers This is an experimental protocol for educational purposes. Consult healthcare providers before implementation. Monitor biomarkers continuously.

    Every model's answer to this prompt
  • 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 Coder Plus: Sunset Pasta Primavera A vibrant, creamy pasta dish that celebrates the colors of a perfect sunset Ingredients: Pasta (penne or fusilli) - 1 lb Olive oil - 3 tbsp Garlic - 4 cloves, minced Canned diced tomatoes - 1 can (14 oz) Heavy cream - 1 cup Parmesan cheese - 1/2 cup, grated Fresh basil - 1/4 cup, chopped…

    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 Coder Plus: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I'm reading a book about anti-gravity. It's impossible to put down! Why did the scarecrow win an award? He was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised.

    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 Coder Plus: HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…

    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 Coder Plus: I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step-by-Step Calculation FLOPs per token forward pass For a transformer model, the forward pass…

    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 Coder Plus: BREAKING: AI Successfully Automates Small Town Gossip Network, Immediately Spreads More Accurate Rumors Than Humans Local residents report 300% increase in factual information dissemination and 75% decrease in interesting stories within first week of implementation

    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 Coder Plus: INTERVIEW: Steve Jobs (Fictional 2025 Interview) Conducted by TechVision Magazine Interviewer: Mr. Jobs, thank you for joining us. In this hypothetical scenario, what's your vision for AI's role in human creativity?

    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 Coder Plus: Looking at this pitch deck, here are the 3 weakest claims: The 94% Accuracy Claim Why it's weak: This is an extraordinarily bold technical claim without any supporting evidence, context, or independent validation.

    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 Coder Plus: INTERNAL INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Portfolio Manager] DATE: [Current Date] RE: LedgerLift (LLLT) - Long Recommendation RECOMMENDATION & PRICE TARGET Recommendation: LONG 12-Month Price Target: $68-$82 range Investment Thesis: LLLT trades at significant discount to intrinsic value with…

    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 Coder Plus: I need to figure out how many sisters Sally has. Let me break this down step by step: Sally has 3 brothers Each brother has 2 sisters Since Sally is one of the girls in the family, and each brother has 2 sisters, this means there are 2 sisters total that the brothers count.

    Every model's answer to this prompt

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Favorites

Movie

Album

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 Coder PlusQwen3 Coder Plus

The Shawshank Redemption

1994

OK Computer

Radiohead

The Left Hand of Darkness

Ursula K. Le Guin

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GPT-5.4 Nano and Qwen3 Coder Plus compared across 53 shared prompts
SpecGPT-5.4 NanoQwen3 Coder Plus
Input price$0.2/M tokens$1/M tokens
Output price$1.25/M tokens$5/M tokens
Context window400K tokens128K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedMar 2026Sep 2025
At 10M a month$2.00$2.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it2 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 Coder Plus

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between GPT-5.4 Nano and Qwen3 Coder Plus?

GPT-5.4 Nano is developed by OpenAI while Qwen3 Coder Plus is developed by Qwen. GPT-5.4 Nano has a 400K token context window vs Qwen3 Coder Plus's 128K. 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 Coder Plus?

It depends on your use case. GPT-5.4 Nano and Qwen3 Coder Plus 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 Coder Plus?

GPT-5.4 Nano costs $0.2/M input tokens and Qwen3 Coder Plus costs $1/M input tokens. GPT-5.4 Nano is $0.80/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 Coder Plus on Rival?

This page shows a side-by-side comparison of GPT-5.4 Nano and Qwen3 Coder Plus 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

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Same lab, same size, long tail

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Model pages

  • GPT-5.4 Nano66 outputs, specs and price
  • Qwen3 Coder Plus59 outputs, specs and price
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