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  5. GPT-6 Luna ProvsQwen3.7 Max
Updated Sep 2026

GPT-6 Luna ProvsQwen3.7 Max

GPT-6 Luna Pro is cheaper than Qwen3.7 Max at $0.1/M vs $2.5/M input tokens.

GPT-6 Luna Pro and Qwen3.7 Max compared across 20 shared prompts
SpecGPT-6 Luna ProQwen3.7 Max
Input price$0.1/M tokens$2.5/M tokens
Output price$0.5/M tokens$7.5/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026May 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

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 Luna Pro2,057 words
12-week longevity and performance plan This is a structured starting plan for a generally healthy adult—not a diagnosis or a substitute for medical care. The best longevity interventions are still the unglamorous ones: not smoking, regular exercise, adequate sleep, a high-quality diet, healthy blood pressure and…
Read the full answer
Qwen3.7 Max484 words
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.
Read the full answer

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-6 Luna Pro127 words
Golden Pantry Pancakes Fluffy, lightly sweet pancakes made with everyday staples. Makes: About 6 small pancakes Prep time: 5 minutes Cook time: 10 minutes Ingredients 1 cup all-purpose flour 1 cup milk 1 egg 2 tablespoons sugar 1 teaspoon baking powder ¼ teaspoon salt 2 tablespoons butter, melted (plus a little for the…
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Qwen3.7 Max403 words
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!
Read the full answer

Adversarial Contract Review

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

GPT-6 Luna Pro2,116 words
This agreement is heavily one-sided. Several terms let the Client expand the work, delay or deny payment, claim ownership of the Contractor’s existing materials, and expose the Contractor to potentially unlimited liability.
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Qwen3.7 Max1,632 words
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.
Read the full answer

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 Luna Pro1,215 words
Turbot, Sea Buckthorn, Mussel Beurre Blanc, and Celery-Root Silk Serves 4 A composed main course built around an unusual but harmonious pairing: briny mussel and turbot with intensely tart, apricot-like sea buckthorn.
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Qwen3.7 Max1,402 words
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.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GPT-6 Luna Pro1,906 words
The main architectural risk is that this design treats collaborative editing as ordinary “last write wins” data storage. It is not: edits need a well-defined order, reliable propagation, and a conflict model that preserves concurrent work.
Read the full answer
Qwen3.7 Max1,170 words
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.
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 Luna Pro888 words
LedgerLift (LLLT) — Investment Committee Memo Recommendation: Pass 12-month price target range: $28–44 per share LedgerLift has attractive customer economics, recurring revenue, and a credible path to margin expansion, but those strengths are already reflected in a $46 share price.
Read the full answer
Qwen3.7 Max903 words
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…
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Qwen3.7 Max
Qwen3.7 Max

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

GPT-6 Luna Pro costs 15x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna Pro
Input
$0.10
25× cheaper
Output
$0.50
15× cheaper
Qwen3.7 Max
Input
$2.50
Output
$7.50

GPT-6 Luna Pro is cheaper on both: 25× input, 15× output.

Where to run it

3 hosts

GPT-6 Luna Pro2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·98.6% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% 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 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Luna Pro is developed by OpenAI while Qwen3.7 Max is developed by Qwen. GPT-6 Luna Pro has a 1.1M token context window vs Qwen3.7 Max's 1.0M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna Pro and Qwen3.7 Max each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

GPT-6 Luna Pro costs $0.1/M input tokens and Qwen3.7 Max costs $2.5/M input tokens. GPT-6 Luna Pro is $2.40/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 Luna Pro 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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Model pages

GPT-6 Luna Pro logo
GPT-6 Luna Pro20 outputs, specs and price
Qwen3.7 Max logo
Qwen3.7 Max58 outputs, specs and price
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