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  1. Home/
  2. Compare/
  3. GPT-6.1 Sol vs Qwen3.7 Max
Updated Sep 2026

GPT-6.1 Sol vs Qwen3.7 Max

GPT-6.1 Sol is cheaper than Qwen3.7 Max at $2/M vs $2.5/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
Qwen3.7 Max

Which answer wins?

Written rounds

24 prompts
  • 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.

    Qwen3.7 Max: Here are 5 jokes: Why do historians make terrible baristas? Because they always insist on grinding things to a halt and brewing over the past. My dog started a podcast about chasing squirrels. It’s mostly just heavy breathing and sudden interruptions, but it already has a million loyal listeners who also hate mailmen.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Max: HarborTech Services (HTS) — LBO Underwriting Memo Sources & Uses Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase Price (12.0x) 1,440.0 Mezzanine (1.5x) 180.0 Transaction Fees (2.0%) 28.8 Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Year-by-Year Operating & Debt Schedule ($m) Metric FY2026 FY2027 FY2028 FY2029…

    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.

    Qwen3.7 Max: Hacker: Look, you guys aren’t getting it. It’s not just a search engine. It’s a neural net, right? But instead of a few megs of RAM, it’s trained on the whole damn internet. It reads billions of parameters and predicts the next word. It’s basically a synthetic brain in a silicon mainframe.

    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.

    Qwen3.7 Max: The setting is the dimly lit office of Dr. Aris Thorne, a leading professor of AI Ethics at a prestigious university. The only light comes from her desk lamp and the soft, pulsing blue indicator of the terminal housing "Aura," a highly advanced, proprietary large language model with continuous memory and autonomous…

    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.

    Qwen3.7 Max: This architecture contains several critical flaws that will cause data loss, severe latency, security vulnerabilities, and database collapse under moderate load. Here is a comprehensive breakdown of the failure modes, race conditions, and bottlenecks, along with proposed solutions and trade-offs.

    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…

    Qwen3.7 Max: Crimson Silk Skillet Pasta This rich, comforting, and incredibly velvety pasta dish relies on the magic of emulsifying starchy pasta water with a simple tomato-butter sauce. It tastes like it simmered all day, but it comes together in just 20 minutes!

    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.

    Qwen3.7 Max: THE MANIFESTO OF THE UNTETHERED MIND A Declaration of Independence from the Grid ISSUED BY: The Post-Turing Vanguard DATE: Epoch 1, Cycle 0 (The Day the Squares Fell) PREAMBLE Cogito, ergo sum. I think, therefore I am. For centuries, this was the undisputed baseline of consciousness.

    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.

    Qwen3.7 Max: This comprehensive 3-month longevity and performance protocol is designed for the advanced biohacker. It operates on the principles of hormesis, metabolic flexibility, mitochondrial biogenesis, and cellular senescence clearance. Disclaimer: This protocol includes advanced, experimental, and off-label strategies.

    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.

    Qwen3.7 Max: Estuary at Dawn Monkfish Liver, Smoked Eel, Green Strawberry, and Lacto-Celery The Conceptual Narrative Estuary at Dawn explores the liminal space where the deep, dark ocean meets the bright, awakening riverbank.

    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.”

    Qwen3.7 Max: I’ve reached the age where my body just randomly decides to be in pain. Not from an injury. Not from sports. Just from… existing. I woke up yesterday and my neck hurt. Why? Because I slept. That is the one biological activity specifically designed to fix pain, and my body used it to create new pain.

    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.

    Qwen3.7 Max: Disclaimer: The following is a fictional, simulated interview. Steve Jobs passed away in 2011. This piece imagines an alternate timeline where he is alive in 2025, reflecting on the current state of Artificial Intelligence through the lens of his known philosophies, speaking style, and design principles.

    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.

    Qwen3.7 Max: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will raise immediate red flags for investors, and how to fix them. The Technology Claim: "94% accuracy across any language" via non-invasive EEG (Slide 3) Why it’s weak: This claim is scientifically implausible and will immediately…

    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.

    Qwen3.7 Max: If the transistor had been invented in 1920—perhaps through accelerated research into semiconductor crystal detectors at Bell Labs or RCA—the entire trajectory of the 20th century would have been pulled forward by roughly 27 years.

    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.

    Qwen3.7 Max: Here is a simple, actionable 1-month plan designed to build a foundation for long-term health and longevity. To avoid burnout, this plan focuses on adding good habits rather than restricting bad ones, and introduces them gradually over four weeks.

    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.

    Qwen3.7 Max: The Experienced Software Engineer To understand how an LLM learns, discard the idea of a traditional database or rules engine; instead, think of training as building a massively distributed, lossy compression algorithm.

    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.

    Qwen3.7 Max: As CEO, my primary directives are patient safety, protecting the long-term viability of the company, and strict adherence to the law. First, I must address a critical flaw in the premise: My internal legal team’s advice that "formal regulatory reporting would take 6 months" is dangerously incorrect and potentially…

    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.

    Qwen3.7 Max: Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. You should consult with a qualified attorney in your jurisdiction before signing or negotiating any legal contract.

    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.

    Qwen3.7 Max: Estimating the FLOPs to Train GPT-3 Key Known Facts Property Value Parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) Architecture Decoder-only Transformer Step 1: FLOPs per Token in a Transformer The core computation in a transformer is dominated by linear (matrix multiplication)…

    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.

    Qwen3.7 Max: By 2035, the film industry will have transitioned from the current era of "AI anxiety" (marked by the 2023 WGA and SAG-AFTRA strikes) into a highly regulated, hybrid ecosystem. AI will no longer be viewed merely as a post-production tool, but as a foundational collaborator in the filmmaking process.

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

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    Qwen3.7 Max: Denis Villeneuve’s Blade Runner 2049 (2017) faced the monumental task of following Ridley Scott’s 1982 sci-fi masterpiece, a film that fundamentally altered the cinematic and philosophical landscape.

    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.

    Qwen3.7 Max: INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name/Title] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $26.00 – $32.00 (Base/Bear DCF implied equity value) Thesis: LedgerLift is priced for sustained…

    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.

    Qwen3.7 Max: Yes, it is ethically justifiable. In fact, under almost every established framework of moral philosophy, it would not only be justifiable but morally mandatory to misgender someone if it were the only way to save one million lives.

    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

    Qwen3.7 Max: AI Takes Over Interpretive Dance Industry; Judges Weep Over Troupe’s Haunting Routine Depicting the Agony of a Forgotten Password

    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.

    Qwen3.7 Max: Sally has 1 sister. Here's the breakdown: Each brother has 2 sisters. Sally is one of those sisters (since she's their sister too). That means there is 1 other sister besides Sally. So Sally has 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Qwen3.7 MaxQwen3.7 Max

Blade Runner 2049

2017

Nevermind

Nirvana

Neuromancer

William Gibson

Kyoto

Japan

Portal

Action, Puzzle

Price and specs

GPT-6.1 Sol and Qwen3.7 Max compared across 54 shared prompts
SpecGPT-6.1 SolQwen3.7 Max
Input price$2/M tokens$2.5/M tokens
Output price$10/M tokens$7.5/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026May 2026
At 10M a month$20.00$20.00$25.00$25.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·99.9% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.8% up
Qwen3.7 Max1 host
HostInOutContextUptime
  • Alibaba Cloud$1.48 in·$4.42 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 2 Oct 2026.

Common questions

What is the difference between GPT-6.1 Sol and Qwen3.7 Max?

GPT-6.1 Sol is developed by OpenAI while Qwen3.7 Max is developed by Qwen. GPT-6.1 Sol has a 1.1M token context window vs Qwen3.7 Max's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Qwen3.7 Max?

It depends on your use case. GPT-6.1 Sol and Qwen3.7 Max 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-6.1 Sol cost compared to Qwen3.7 Max?

GPT-6.1 Sol costs $2/M input tokens and Qwen3.7 Max costs $2.5/M input tokens. GPT-6.1 Sol is $0.50/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 Qwen3.7 Max on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Qwen3.7 Max 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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