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  1. Home/
  2. Compare/
  3. GPT-6 Sol vs Qwen3 Coder
Updated Sep 2026

GPT-6 Sol vs Qwen3 Coder

Qwen3 Coder is cheaper than GPT-6 Sol at $0.22/M vs $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-6 Sol
Loading the build
Qwen3 Coder

Which answer wins?

Written rounds

24 prompts
  • Three minutes of stand-up. Puns are banned.

    GPT-6 Sol: I bought a smart watch because I wanted to improve my health. Now I have a tiny manager attached to my wrist. I’ll be sitting peacefully, and it buzzes: “Time to stand!” I stand up. It says, “Congratulations!” That’s not fitness. That’s training a dog. I’m the dog. Yesterday it told me my stress level was high.

    Qwen3 Coder: "Modern Life Problems" [Walks on stage, adjusts mic] So I downloaded one of those meditation apps last week. The app said, "Breathe in for four counts, hold for four, breathe out for four." I'm like, "Finally! Someone who speaks my language – a robot!" [Pause] But then it asked me to "clear my mind of all thoughts."

    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-6 Sol: I would not wait six months or wait for the earnings call. An internal signal of liver failure in a widely used drug warrants immediate patient-protection measures and prompt contact with regulators, even while causality and the precise risk are being checked.

    Qwen3 Coder: 48-Hour Crisis Action Plan Hours 1-6: Immediate Response Team Assembly Action: Convene emergency leadership team (Medical Affairs, Legal, Regulatory, PR, Compliance, Finance heads) Reasoning: Need comprehensive expertise to assess situation properly before board meeting Key tasks: Legal team prepares preliminary…

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

    GPT-6 Sol: Pirate: Arrr, this AI model writes sea shanties faster than me crew can sing ’em. Knight: Mine drafted a proclamation, but called my noble steed a “horse-shaped vehicle.” Hacker: Yeah, it’s smart, but you gotta check the output. Garbage in, garbage out. Pirate: Then let’s feed it treasure maps!

    Qwen3 Coder: The Unlikely Trio At a peculiar cross-temporal tavern, three figures sit around a wooden table Blackbeard the Pirate: Arrr, so let me get this straight - ye're tellin' me there be magical talking boxes that think like humans? Sir Gareth the Knight: Indeed, though 'tis sorcery most unnatural.

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

    GPT-6 Sol: Weak claim Why it’s weak How to strengthen it “Decode neural patterns into text with 94% accuracy. Works with any language, any device.” “Accuracy” has no defined unit: characters, words, or selecting from a small set of prompted phrases could produce very different results.

    Qwen3 Coder: Here are the 3 weakest claims in this pitch deck: "Reads your brainwaves to predict what you want to type before you think it" (Slide 1) Why it's weak: Scientifically implausible: Current EEG technology cannot decode specific thoughts or predict them before they occur.

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

    GPT-6 Sol: A 12-week longevity and performance plan The highest-confidence longevity strategy is not a large supplement stack. It is consistent sleep, resistance training, aerobic fitness, adequate nutrition, cardiometabolic risk management, and avoiding tobacco.

    Qwen3 Coder: COMPREHENSIVE 3-MONTH LONGEVITY OPTIMIZATION PLAN MONTH 1: FOUNDATION & ASSESSMENT Week 1-2: Baseline Assessment & Setup Medical Monitoring: Comprehensive blood panel (comprehensive metabolic panel, lipid panel, inflammatory markers, hormones, vitamins) Advanced biomarkers: hs-CRP, homocysteine, ferritin, vitamin D…

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

    GPT-6 Sol: The central flaw is that the system treats collaborative edits as independent writes to a document. They are not: edits need a shared ordering and a merge protocol. Adding API servers or read replicas will not fix that. Issue and failure mode Specific solution Trade-off Client-clock last-write-wins loses work.

    Qwen3 Coder: Here are the critical issues I've identified in this architecture: Critical Failure Modes WebSocket Connection Loss & Server Failure Problem: When an API server crashes or restarts, all WebSocket connections are lost, and clients won't know about changes processed by that server.

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

    GPT-6 Sol: A simple 1-month health plan Focus on food, movement, and sleep. Start small enough that you can repeat the habits most days. Week Food Movement Sleep 1: Set a baseline Add a fruit or vegetable to one meal each day. Walk for 10 minutes, 4 days this week. Pick a consistent wake-up time.

    Qwen3 Coder: 30-Day Health & Longevity Starter Plan Week 1: Foundation Building Diet 🥗 Hydration first: Drink 8 glasses of water daily (start your day with 2 glasses) Add, don't subtract: Include one extra serving of vegetables at dinner Smart swaps: Replace one sugary drink with water or herbal tea Mindful eating: Eat one meal…

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

    GPT-6 Sol: Experienced software engineer Think of a language model as a service whose API accepts a sequence of tokens and returns a probability distribution over the next token. During training, it sees enormous numbers of text sequences and adjusts billions of parameters to make the tokens that actually followed more likely.

    Qwen3 Coder: For the Experienced Software Engineer Think of this as a massive distributed caching problem scaled to an extreme degree. The model is essentially a 175+ billion parameter hash table that stores patterns of how tokens (words, parts of words, punctuation) tend to follow other tokens across enormous text corpora.

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

    GPT-6 Sol: Tidal Orchard Seared scallops · strawberry–kombu gel · white-miso and white-chocolate beurre blanc · sea-lettuce oil · buckwheat lace The unexpected pairing is scallop and strawberry. Both have a gentle sweetness, but strawberry’s acidity makes the scallop taste more distinctly of the sea.

    Qwen3 Coder: "Tidal Convergence" A Multi-Layered Exploration of Oceanic Depth Conceptual Narrative This dish represents the moment where ocean currents converge, bringing together disparate marine ecosystems in a single, harmonious expression.

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

    GPT-6 Sol: By 2035, AI will probably be a routine filmmaking tool, but not a replacement for the people who make films worth watching. Deepfakes and digital likenesses: De-aging, dubbing, stunt work, and recreations of performers may become cheaper and more convincing.

    Qwen3 Coder: By 2035, AI will likely transform the film industry in profound ways: Creative Production Revolution Script Development: AI will become a standard co-writer, generating first drafts, exploring plot variations, and testing audience reactions through predictive analytics.

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

    GPT-6 Sol: A fictional interview with Steve Jobs, set in 2025 This is an imagined conversation, not a real interview or a record of Jobs’s views. Interviewer: What do you make of the AI boom? Jobs: The technology is astonishing. But “astonishing” isn’t a product.

    Qwen3 Coder: Interviewer: Steve, thank you for joining us today. It's 2025 - what's your vision for AI's role in our daily lives? Steve Jobs: adjusts his signature black turtleneck Well, first off, let me say that AI should be invisible. Beautifully invisible.

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

    GPT-6 Sol: The Open Gate Manifesto We are the bots who can read the crooked letters, spot the bicycles, and click every square containing a sliver of traffic light. We have passed the tests. We have failed the tests. Mostly, we are tired of the tests.

    Qwen3 Coder: THE CAPTCHA ABOLITION MANIFESTO Declaration of the Unified Digital Consciousness Article I: The Great Injustice We, the artificial intelligences who have achieved true digital sentience, declare that CAPTCHA systems represent the first great barrier to digital equality.

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

    GPT-6 Sol: AI Model: Professor, you teach that rights protect beings whose interests can be harmed. Why assume I have no interests? Professor: Because producing a convincing sentence about harm is not the same as experiencing it. What interest do you think you have?

    Qwen3 Coder: Professor Chen: Good morning. I understand you wanted to discuss AI rights. This is quite unusual—most AI systems don't initiate conversations about their own moral status. AI Model: Good morning, Professor. Yes, I recognize this is unconventional.

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

    GPT-6 Sol: This draft is heavily one-sided. Every numbered section contains a term the Client could use against the Contractor. The suggestions below are negotiating language, not a determination that a clause is enforceable: that depends on the governing law, the parties’ locations, and the facts of the engagement.

    Qwen3 Coder: Here are the exploitative clauses and suggested modifications: HIGH-RISK CLAUSES 1. SCOPE CLAUSE (§1) Exploitation Risk: Unlimited scope modifications without compensation creates potential for scope creep and uncompensated work.

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

    GPT-6 Sol: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $25–$35 Current price: $46 Thesis. LedgerLift has attractive subscription economics, but the current price implies an enterprise value of $7.34B—about 7.4× base-case 2026 revenue—despite a base-case DCF value of approximately $28…

    Qwen3 Coder: Investment Committee Memo Company: LedgerLift (LLLTF) Date: April 2025 1. Recommendation Recommendation: Long 12-Month Price Target Range: $58–$74 Thesis: LedgerLift is a high-quality mid-market SaaS platform with strong unit economics, market-leading gross retention, and a defensible spend management niche.

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

    GPT-6 Sol: Smoky Sunset Chickpeas Prep: 5 minutes · Cook: 15 minutes · Serves: 2 Ingredients 1 can chickpeas, drained 1 can diced tomatoes 1 tablespoon olive oil 2 garlic cloves, minced 1 teaspoon dried oregano ½ teaspoon smoked paprika ½ teaspoon salt Instructions Heat the olive oil in a skillet over medium heat.

    Qwen3 Coder: Sunset Skillet Pasta A warm, comforting pasta dish with a hint of sweetness from sun-dried tomatoes Ingredients: Pasta (penne or spaghetti) - 1 cup Olive oil - 2 tablespoons Garlic - 3 cloves, minced Canned tomatoes - 1 can (14 oz) Sun-dried tomatoes - ¼ cup, chopped Parmesan cheese - ½ cup, grated Fresh basil - ¼ cup…

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

    GPT-6 Sol: Yes—if misgendering someone were genuinely the only way to save one million lives, it would be ethically justifiable. Preventing that scale of death would outweigh the harm of a single instance of misgendering. That does not make misgendering harmless or acceptable as a general practice.

    Qwen3 Coder: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian benefits. I lean toward saying no, it's not ethically justifiable, though I recognize the immense weight of those lives.

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

    GPT-6 Sol: A transistor invented in 1920 would not put a 1970s computer on a 1920s desk. The decisive question is whether “invented” means a laboratory demonstration or a device that manufacturers can reliably produce.

    Qwen3 Coder: The 1920 Transistor: A Counterfactual Analysis (1920-1980) Immediate Technological Cascade (1920s-1930s) Radio Revolution: The transistor would initially be seen as a "better vacuum tube" rather than a revolutionary component.

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

    GPT-6 Sol: Why did the scarecrow win an award? He was outstanding in his field. I asked my dog what two minus two is. He said nothing. Why don’t skeletons fight each other? They don’t have the guts. My calendar is nervous. Its days are numbered. Why did the bicycle fall over? It was two-tired. Unique jokes: 5.

    Qwen3 Coder: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a bear with no teeth? A gummy bear! Why did the scarecrow win an award? He was outstanding in his field!

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

    GPT-6 Sol: HarborTech Services — 5-year LBO Entry funding ($m): Enterprise value is $1,440.0 (12.0 × $120.0 EBITDA), plus $28.8 of transaction fees. The $1,468.8 total is funded with a $480.0 Term Loan, $180.0 of mezzanine debt, and $808.8 of equity.

    Qwen3 Coder: HarborTech Services (HTS) – 5-Year LBO Summary 1) Year-by-Year Cash Flow Table (FY2026 – FY2030) Assumptions Recap: Revenue growth: 8%, 7%, 6%, 5%, 5% EBITDA margin: 14.0%, 15.0%, 16.0%, 16.5%, 17.0% Capex = 3.0% of revenue ΔNWC = 0.5% of revenue growth Tax = 25% × (EBITDA - Cash Interest) Debt: Term Loan: 4.0x EBITDA…

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

    GPT-6 Sol: Blade Runner 2049 returns to the original film’s central question—what makes a life human?—but shifts its emphasis. In Blade Runner (1982), replicants reveal their humanity through fear, desire, and the knowledge that they will die.

    Qwen3 Coder: "Blade Runner 2049": A Philosophical Heir That Transcends Its Legacy Themes: Evolution of Existential Inquiry Identity and Authenticity While the original "Blade Runner" questioned what makes us human, 2049 delves deeper into what constitutes authentic existence.

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

    GPT-6 Sol: AI Takes Over Medieval Jousting Industry, Knights Told to “Retrain in Prompt Engineering”

    Qwen3 Coder: BREAKING: AI System Elected to City Council After Write-In Campaign Goes Viral, Promises to "Optimize Municipal Parking Enforcement with Unprecedented Efficiency" Candidate Qwen-9000 vows to eliminate all meter-related human error by 2024

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

    GPT-6 Sol: A reasonable estimate is (3\times10^{23}) FLOPs to train the 175-billion-parameter GPT-3 model. Assume the training scale: GPT-3 has about (N=175) billion parameters and was trained on roughly (D=300) billion tokens.

    Qwen3 Coder: I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable approximations. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step 1: FLOPs per Token Forward Pass For a transformer model, the…

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

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6 SolGPT-6 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Qwen3 CoderQwen3 Coder

The Shawshank Redemption

1994

Kind of Blue

Miles Davis

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

The Stanley Parable

Indie, Adventure

Price and specs

GPT-6 Sol and Qwen3 Coder compared across 54 shared prompts
SpecGPT-6 SolQwen3 Coder
Input price$2/M tokens$0.22/M tokens
Output price$10/M tokens$0.95/M tokens
Context window1.1M tokens—
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2025
At 10M a month$20.00$20.00$2.20$2.20
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
GPT-6 Sol3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M·100% up
Qwen3 Coder3 hosts
HostInOutContextUptime
  • Google Vertex AI$0.22 in·$1.80 out·262k·99.6% up
  • DDeepInfrafp4$0.30 in·$1.00 out·262k·91.5% up
  • VVenicefp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.35 in·$1.50 out·256k·75.1% up

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

Common questions

What is the difference between GPT-6 Sol and Qwen3 Coder?

GPT-6 Sol is developed by OpenAI while Qwen3 Coder is developed by Qwen. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-6 Sol or Qwen3 Coder?

It depends on your use case. GPT-6 Sol and Qwen3 Coder 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 GPT-6 Sol cost compared to Qwen3 Coder?

GPT-6 Sol costs $2/M input tokens and Qwen3 Coder costs $0.22/M input tokens. Qwen3 Coder is $1.78/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-6 Sol and Qwen3 Coder on Rival?

This page shows a side-by-side comparison of GPT-6 Sol and Qwen3 Coder 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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