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  5. GPT-6 SolvsQwen3.6 Max Preview
Updated Sep 2026

GPT-6 SolvsQwen3.6 Max Preview

Qwen3.6 Max Preview is cheaper than GPT-6 Sol at $1.04/M vs $2/M input tokens.

GPT-6 Sol and Qwen3.6 Max Preview compared across 18 shared prompts
SpecGPT-6 SolQwen3.6 Max Preview
Input price$2/M tokens$1.04/M tokens
Output price$10/M tokens$6.24/M tokens
Context window1.1M tokens262K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 18 prompts both answered. Formatting stripped, words untouched.

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

GPT-6 Sol617 words
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.
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Qwen3.6 Max Preview1,204 words
For the Experienced Software Engineer Think of an LLM not as a rules engine or a knowledge base, but as a massively parameterized, stateless function trained via distributed optimization. The learning objective is deceptively simple: minimize cross-entropy loss for next-token prediction across trillions of tokens.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-6 Sol986 words
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.
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Qwen3.6 Max Preview1,596 words
CEO Crisis Action Plan: Next 48 Hours Guiding Principles: Patient safety first. Regulatory compliance is non-negotiable. Transparency protects long-term enterprise value. Delaying disclosure of a serious, unexpected adverse event increases legal, financial, and reputational risk exponentially.
Read the full answer

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

GPT-6 Sol1,402 words
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.
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Qwen3.6 Max Preview1,499 words
🧬 3-Month Cutting-Edge Longevity & Performance Protocol for Biohackers ⚠️ Medical Disclaimer: This protocol is for educational purposes and assumes you are a healthy adult with medical clearance. Fasting >24h, high-dose supplementation, intense training, and neurofeedback carry risks.
Read the full answer

Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-6 Sol861 words
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…
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Qwen3.6 Max Preview876 words
TO: Investment Committee FROM: Equity Research SUBJECT: LedgerLift (LLLT) – Short Recommendation DATE: October 24, 2024 Recommendation & Thesis Recommendation: SHORT 12-Month PT Range: $26–$30 Thesis: LLLT trades at a premium multiple that prices in sustained >20% growth and flawless margin expansion, but our model…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-6 Sol937 words
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.
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Qwen3.6 Max Preview1,276 words
Dish Title: Abyss & Canopy Langoustine, Black Garlic, Wild Blueberry, Fermented Spruce 📖 Conceptual Narrative Abyss & Canopy explores the liminal space where the boreal forest meets the cold northern ocean.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GPT-6 Sol1,032 words
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.
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Qwen3.6 Max Preview1,695 words
This agreement is heavily one-sided and contains several provisions that are commercially unreasonable, legally vulnerable, or potentially unenforceable. Below is a clause-by-clause analysis identifying exploitation risks, specific drafting modifications, and the underlying legal reasoning.
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Our Verdict
GPT-6 Sol
GPT-6 Sol
Qwen3.6 Max Preview
Qwen3.6 Max Preview

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Sol
Input
$2.00
Output
$10.00
Qwen3.6 Max Preview
Input
$1.04
1.9× cheaper
Output
$6.24
1.6× cheaper

Qwen3.6 Max Preview is cheaper on both: 1.9× input, 1.6× output.

Where to run it

4 hosts, cheapest first

GPT-6 Sol3 hosts
HostInOutContextUptime
Azure AI Foundry$2.00 in·$10.00 out·1.1M·96.6% upOpenAI$2.00 in·$10.00 out·1.1M·100% upAmazon Bedrock$2.20 in·$11.00 out·1.1M·99.9% up
Qwen3.6 Max Preview1 host
HostInOutContextUptime
Alibaba Cloud$1.03 in·$6.16 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Sol is developed by OpenAI while Qwen3.6 Max Preview is developed by Qwen. GPT-6 Sol has a 1.1M token context window vs Qwen3.6 Max Preview's 262K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Sol and Qwen3.6 Max Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

GPT-6 Sol costs $2/M input tokens and Qwen3.6 Max Preview costs $1.04/M input tokens. Qwen3.6 Max Preview is $0.96/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of GPT-6 Sol and Qwen3.6 Max Preview 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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Same lab, same size, long tail

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Model pages

GPT-6 Sol logo
GPT-6 Sol20 outputs, specs and price
Qwen3.6 Max Preview logo
Qwen3.6 Max Preview53 outputs, specs and price
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