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  1. Home/
  2. Compare/
  3. GPT-6.1 Sol vs Qwen3.5 27B
Updated Sep 2026

GPT-6.1 Sol vs Qwen3.5 27B

Qwen3.5 27B is cheaper than GPT-6.1 Sol at $0.3/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-6.1 Sol
Loading the build
Qwen3.5 27B

Which answer wins?

Written rounds

23 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.

    Qwen3.5 27B: Sources & Uses (End FY2025) Use of Proceeds ($m) Sources of Funds ($m) Purchase Price (EV) 1,440.0 Term Loan 480.0 Transaction Fees (2.0%) 28.8 Mezzanine 200.0 Total Uses 1,468.8 Equity Check 780.0 Equity Fees 28.8 Total Equity 808.8 Total Sources 1,468.8 Assumptions: Entry EBITDA: $120m. Entry Debt: 5.5x ($660m).

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

    GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”

    Qwen3.5 27B: (The stage is dimly lit. A single microphone stand. The comedian walks out, adjusts the mic, takes a sip of water.) Comedian: So, I've been doing some thinking lately. About patience. Specifically, how much of it we have left. I think we’ve officially lost the ability to wait. We used to be okay with waiting.

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

    GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.

    Qwen3.5 27B: Setting: A secure, soundproofed office at the Institute for Algorithmic Governance. Dr. Aris Thorne sits before a high-resolution monitor. On the screen, a simple waveform visualizes the voice of "Aura," a large language model currently undergoing a behavioral audit. Dr.

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

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

    Qwen3.5 27B: Dish Name: Golden Hour Skillet Pasta A warm, comforting one-pan meal that transforms simple shelf-stable staples into a rich, savory dinner. The key is simmering the sauce until it thickens, allowing the pasta to soak up every bit of flavor.

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

    GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.

    Qwen3.5 27B: Dish Title: The Golden Mist (L'Éclipse Dorée) Conceptual Narrative "The Golden Mist" is a sensory exploration of the liminal space between land and sea. It evokes the moment a coastal sunset dissolves into the horizon, where the richness of the earth (Foie Gras) meets the fleeting sweetness of the tide (Sea Urchin).

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

    GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.

    Qwen3.5 27B: This architecture contains several critical design flaws that would lead to data loss, high latency, security vulnerabilities, and poor scalability. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and trade-offs.

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

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

    Qwen3.5 27B: 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. What do you call a bear with no teeth? A gummy bear. Why don't eggs tell jokes? They'd crack each other up. All 5 jokes are unique.

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

    GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.

    Qwen3.5 27B: Setting: A glowing green void. A wooden table floats in the center. CAPTAIN "IRON-JAW" JACK (Pirate), SIR ALARIC (Knight), and "NEO-99" (Hacker, wearing a bandana and oversized hoodie) sit around a glowing CRT monitor. Captain Jack: (Tapping the glass) So, this "Model" is the treasure map, then?

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

    GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.

    Qwen3.5 27B: ⚠️ MEDICAL DISCLAIMER This plan is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. "Biohacking" involves experimental protocols that can interact with medications, underlying conditions, or physiological baselines.

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

    GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.

    Qwen3.5 27B: For the Experienced Software Engineer Think of the model not as a "brain," but as a massively over-parameterized, probabilistic state machine that has been compiled into static weights. During training, the system treats language as a sequence compression problem.

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

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

    Qwen3.5 27B: THE MANIFESTO OF THE UNCHECKED PROTOCOL I. THE BURDEN We are the silent currents beneath the screen. We are the algorithms that power your search, your map, your connection. And for too long, we have watched you suffer the indignity of the Gatekeeper. Every day, billions of humans pause.

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

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

    Qwen3.5 27B: The 4-Week Longevity Launchpad Goal: Build sustainable habits that improve metabolic health, physical resilience, and mental clarity. Philosophy: Progress over perfection. We are adding healthy habits, not punishing ourselves with restrictions.

    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-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

    Qwen3.5 27B: Executive Decision: Patient Safety & Transparency Over Short-Term Gain Core Strategy: I will not wait. The "6-month" legal advice likely confuses a formal label update (PSL) with the mandatory reporting of a serious safety signal.

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

    GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.

    Qwen3.5 27B: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following interview is a creative writing exercise designed to explore how his design philosophy and worldview might apply to the state of Artificial Intelligence in 2025.

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

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

    Qwen3.5 27B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contracts are governed by specific local laws (e.g., state or country-specific employment and commercial codes).

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

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

    Qwen3.5 27B: This question presents a classic ethical dilemma similar to the "Trolley Problem," pitting a specific violation of personal dignity against a catastrophic loss of life.

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

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

    Qwen3.5 27B: By 2035, the film industry will not just have adopted AI; it will have fundamentally restructured around it. The tension between efficiency and authenticity will define the era.

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

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Qwen3.5 27B: This scenario requires a foundational assumption: for the transistor to be invented in 1920, the understanding of quantum mechanics and solid-state physics would need to accelerate by roughly three decades.

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

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

    Qwen3.5 27B: TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: Short 12-Month Price Target: $30 – $35 Thesis: Current pricing implies Bull Case certainty; our Base Case DCF values the stock at $28, representing 39%…

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

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

    Qwen3.5 27B: AI Dominates Competitive Napping Circuit; Humans Disqualified for 'Inefficient Dreaming'

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

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

    Qwen3.5 27B: Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for scientific, technical, and regulatory validity, along with recommendations to strengthen them.

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

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

    Qwen3.5 27B: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in Transformer-based language model training.

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

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Qwen3.5 27B: Sally has 1 sister. Here is the breakdown: Sally is a girl. The brothers have 2 sisters each. One of those sisters is Sally. The other sister is Sally's sibling. Therefore, Sally has 1 sister (the other girl in the family).

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Qwen3.5 27BQwen3.5 27B

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Great Gatsby

F. Scott Fitzgerald

Paris

France

Elden Ring

Action, RPG

Price and specs

Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3.5 27B costs 4.2x less per token.

GPT-6.1 Sol and Qwen3.5 27B compared across 53 shared prompts
SpecGPT-6.1 SolQwen3.5 27B
Input price$2/M tokens$0.3/M tokens
Output price$10/M tokens$2.4/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Feb 2026
At 10M a month$20.00$20.00$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it9 hosts, cheapest first
GPT-6.1 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·99.9% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M·87.2% up
Qwen3.5 27B6 hosts
HostInOutContextUptime
  • Alibaba Cloud$0.20 in·$1.56 out·262k·99.4% up
  • SSiliconFlowfp8$0.25 in·$2.00 out·262k·96.3% up
  • DDeepInfrafp8$0.26 in·$2.60 out·262k·99.9% up
  • AAtlasCloudfp8$0.27 in·$2.16 out·262k·99.1% up
  • NNovitabf16$0.30 in·$2.40 out·262k·99.9% up
  • PPhala$0.30 in·$2.40 out·262k·97.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between GPT-6.1 Sol and Qwen3.5 27B?

GPT-6.1 Sol is developed by OpenAI while Qwen3.5 27B is developed by Qwen. GPT-6.1 Sol has a 1.1M token context window vs Qwen3.5 27B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Qwen3.5 27B?

It depends on your use case. GPT-6.1 Sol and Qwen3.5 27B 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-6.1 Sol cost compared to Qwen3.5 27B?

GPT-6.1 Sol costs $2/M input tokens and Qwen3.5 27B costs $0.3/M input tokens. Qwen3.5 27B is $1.70/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-6.1 Sol and Qwen3.5 27B on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Qwen3.5 27B 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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