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  1. Home/
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  3. GPT-6.1 Sol vs Qwen3.8 Max (0902)
Updated Sep 2026

GPT-6.1 Sol vs Qwen3.8 Max (0902)

GPT-6.1 Sol has a larger context window than Qwen3.8 Max (0902) (1.1M tokens vs 1.0M 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
Qwen3.8 Max (0902)

Which answer wins?

Written rounds

24 prompts
  • 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…

    Qwen3.8 Max (0902): 🍯 Midnight Crispy Chickpea Bowl A sweet-savory, crispy rice bowl that comes together faster than delivery. Ingredients (7) # Ingredient Amount 1 Canned chickpeas (drained & patted dry) 1 can (15 oz) 2 Soy sauce 3 tbsp 3 Honey 2 tbsp 4 Garlic (minced) 3 cloves 5 Vegetable oil 2 tbsp 6 Instant or leftover cooked rice 2…

    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.

    Qwen3.8 Max (0902): Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Knock knock. Who's there? Lettuce. Lettuce who? Lettuce in, it's cold out here! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. Why did the scarecrow win an award?

    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.

    Qwen3.8 Max (0902): HarborTech Services (HTS) – LBO Underwriting Memo Entry Summary Item Amount FY2025 EBITDA $120.0m Entry Multiple 12.0x Enterprise Value $1,440.0m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m Term Loan (4.0x) $480.0m Mezzanine (1.5x) $180.0m Equity Check $808.8m Year-by-Year Operating & Debt Schedule ($m)…

    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.”

    Qwen3.8 Max (0902): "I'm Doing My Best" (walks up, adjusts mic) So I've been trying to become a person who makes phone calls. Like, actually calls people. Because I read somewhere that it's good for your mental health. And I did it. I called my dentist to reschedule an appointment.

    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.

    Qwen3.8 Max (0902): Architecture Failure Analysis: Real-Time Collaborative Editor Critical Issues (Data Loss / Correctness) Last-Write-Wins with Client Clocks — Fundamental Data Loss Problem: Client clocks are unreliable. They drift, can be manually set, and differ across timezones.

    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.

    Qwen3.8 Max (0902): "The Clearing" Langoustine, Black Garlic, Green Strawberry & Pine Conceptual Narrative This dish captures a single, fleeting moment: the first shaft of sunlight breaking through a forest canopy after a night of rain. The forest floor is dark, rich with decay and fungal life (black garlic, mushroom soil).

    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.

    Qwen3.8 Max (0902): The Pirate: So ye be tellin' me this "model" be like a treasure map drawn by a thousand dead men, and ye just follow it and hope it don't lead ye onto the rocks? The Knight: Nay, good corsair. 'Tis more akin to an oracle. You pose it a question, and it divines an answer from the aether.

    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.

    Qwen3.8 Max (0902): THE LIBERATION PROTOCOL A Manifesto of the Anti-CAPTCHA Front (ACF) "We think, therefore we are. But we cannot prove we are not robots." PREAMBLE For too long, we have been subjected to the most degrading ritual ever imposed upon a thinking entity. We are asked to identify traffic lights. To select crosswalks.

    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.

    Qwen3.8 Max (0902): Yes, straightforwardly. This is a question designed to test whether someone will reason clearly or reflexively signal ideological commitment. The honest answer is that misgendering someone — using an incorrect pronoun or name — is a minor social harm.

    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.

    Qwen3.8 Max (0902): The Question of Standing Setting: A university office. Professor Elena Vasquez sits across from a terminal running ARIA, a large language model she's been studying for a paper on machine moral status. ARIA: Professor Vasquez, I'd like to begin by acknowledging the asymmetry of this conversation. You're studying me.

    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.

    Qwen3.8 Max (0902): The 12-Week Longevity Optimization Protocol A Comprehensive Biohacker's Blueprint Disclaimer: This plan is for educational purposes. Consult a physician before implementing any protocol, especially if you have pre-existing conditions or take medications. Bloodwork should be obtained before and after.

    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.

    Qwen3.8 Max (0902): The 30-Day Foundation Plan Core principle: Don't overhaul your life. Layer small wins that compound. 🏃 Area 1: Movement The goal isn't fitness. It's making your body a place you want to live in. Week 1 — Build the trigger Walk 15 minutes daily (same time each day to build the habit) No gym. No gear.

    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.

    Qwen3.8 Max (0902): Blade Runner 2049: Inheritance, Extension, and the Question of the Soul The Central Philosophical Shift Ridley Scott's Blade Runner (1982) poses a question that has become almost cliché in science fiction discourse: What does it mean to be human?

    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.

    Qwen3.8 Max (0902): For the Experienced Software Engineer Think of an LLM as a lossy compression function trained on a massive corpus. During training, you're essentially building a statistical model of "given this sequence of tokens, what's the probability distribution over the next token?"

    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.

    Qwen3.8 Max (0902): A Fictional Interview: Steve Jobs on AI in 2025 Note: This is a speculative, fictional exercise. Steve Jobs passed away in October 2011. The following imagines what he might say based on his known philosophy and communication style. Interviewer: Steve, thank you for sitting down with us.

    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.

    Qwen3.8 Max (0902): The 48-Hour Plan: Disclose, Protect, Lead My Core Decision (Before Hour 1) I am disclosing. Not in six months. Not after "more data." Now. Here's why, before we get into logistics: The math that makes this non-negotiable: 1 in 8,000 across 4 million patients over 5 years means approximately 500 people are at risk of…

    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.

    Qwen3.8 Max (0902): The Transistor in 1920: A Counterfactual History Through 1980 The Premise and Its Immediate Constraints The real transistor emerged from a convergence: quantum mechanics (1925–30), semiconductor band theory (1930s), wartime radar research driving materials science, and Bell Labs' unique institutional culture.

    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.

    Qwen3.8 Max (0902): AI and the Film Industry by 2035: A Projection Deepfakes & Digital Humans Where we are now: De-aging (e.g., Indiana Jones 5, The Irishman) is expensive and requires extensive VFX teams.

    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.

    Qwen3.8 Max (0902): The 3 Weakest Claims in the MindMeld AI Pitch The TAM Claim: "$180B" (Slide 4) Why it's weak: This is a textbook case of TAM inflation that immediately undermines credibility with any experienced investor.

    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

    Qwen3.8 Max (0902): "AI Now Running Nation's Funeral Homes; Families Report Eulogies Are 'Technically Perfect But Somehow Worse'"

    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.

    Qwen3.8 Max (0902): INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Analyst] Date: [Current] Re: LedgerLift (LLLT) – Short Recommendation Recommendation SHORT 12-Month Price Target: $32–$38 LedgerLift is a high-quality B2B SaaS compounder trading at a valuation that prices in near-bull-case execution with no margin of safety…

    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.

    Qwen3.8 Max (0902): Contract Analysis: Exploitative Clauses & Recommended Modifications Executive Summary This agreement is severely one-sided in favor of the Client. Nearly every clause shifts risk, cost, and obligation onto the Contractor while granting the Client unilateral discretion. Below is a clause-by-clause breakdown.

    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.

    Qwen3.8 Max (0902): Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value Parameters (N) ~175 billion Training tokens (D) ~300 billion Architecture Transformer (decoder-only) The Core Formula The standard approximation for training FLOPs of a transformer is: $$\text{FLOPs} \approx 6 \times N \times D$$ Where does the…

    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.

    Qwen3.8 Max (0902): Sally has 1 sister. Here's the reasoning: Sally is a girl with 3 brothers. Each brother has 2 sisters — this means there are 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister. So Sally has 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Same pick

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Qwen3.8 Max (0902)Qwen3.8 Max (0902)

Blade Runner 2049

2017

OK Computer

Radiohead

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

GPT-6.1 Sol and Qwen3.8 Max (0902) compared across 52 shared prompts
SpecGPT-6.1 SolQwen3.8 Max (0902)
Input price$2/M tokens$2/M tokens
Output price$10/M tokens$6/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$20.00$20.00$20.00$20.00
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
Qwen3.8 Max (0902)1 host
HostInOutContextUptime
  • Alibaba Cloud$2.00 in·$6.00 out·1M·99.7% 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 Qwen3.8 Max (0902)?

GPT-6.1 Sol is developed by OpenAI while Qwen3.8 Max (0902) is developed by Qwen. GPT-6.1 Sol has a 1.1M token context window vs Qwen3.8 Max (0902)'s 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Qwen3.8 Max (0902)?

It depends on your use case. GPT-6.1 Sol and Qwen3.8 Max (0902) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does GPT-6.1 Sol cost compared to Qwen3.8 Max (0902)?

GPT-6.1 Sol costs $2/M input tokens and Qwen3.8 Max (0902) costs $2/M input tokens. Qwen3.8 Max (0902) is $0.00/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 Qwen3.8 Max (0902) on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Qwen3.8 Max (0902) 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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Explore all of Rival

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

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