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  5. GPT-6 Luna ProvsQwen3.5 Plus 2026-04-20
Updated Sep 2026

GPT-6 Luna ProvsQwen3.5 Plus 2026-04-20

GPT-6 Luna Pro is cheaper than Qwen3.5 Plus 2026-04-20 at $0.1/M vs $0.4/M input tokens.

GPT-6 Luna Pro and Qwen3.5 Plus 2026-04-20 compared across 20 shared prompts
SpecGPT-6 Luna ProQwen3.5 Plus 2026-04-20
Input price$0.1/M tokens$0.4/M tokens
Output price$0.5/M tokens$2.4/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

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

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
Qwen3.5 Plus 2026-04-201,124 words
Here is a systematic breakdown of the architectural flaws, race conditions, and scaling bottlenecks, followed by targeted solutions and trade-offs. 🔴 1. Real-Time Synchronization & Consistency Issue Impact Solution Trade-offs Last-Write-Wins with client-side timestamps Client clocks drift, can be manually altered, and…
Read the full answer

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 Luna Pro892 words
For an experienced software engineer Think of a language model as a system trained to continue sequences: given a prefix of text, it assigns probabilities to possible next tokens (tokens are pieces of words, not necessarily whole words) and learns to make the observed continuation likely.
Read the full answer
Qwen3.5 Plus 2026-04-20852 words
Experienced Software Engineer (Distributed Systems/APIs) Think of an LLM not as a rule-based program, but as a massive, stateless probabilistic routing engine. During training, it ingests terabytes of text and learns to minimize a cross-entropy loss: essentially, it builds a high-dimensional lookup table that maps…
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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Qwen3.5 Plus 2026-04-20306 words
🌙 Midnight Magic Noodles 🍜 A savory-sweet garlic butter noodle dish that feels like a gourmet meal but comes together in minutes using pantry staples. ⏱️ Estimated Time: Prep: 5 minutes Cook: 10 minutes Total: 15 minutes 🛒 The 7 Ingredients (Assumes water and salt for boiling pasta are on hand) 8 oz Pasta…
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-6 Luna Pro327 words
A simple 1-month plan for better health and longevity Choose three foundations: eating well, moving regularly, and sleeping consistently. Aim for steady habits, not perfection. Diet: Make nourishing choices easier Week 1: Add one serving of fruit or vegetables to one meal each day.
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Qwen3.5 Plus 2026-04-20691 words
Here is a simple, actionable 1-Month Health Longevity Plan. This plan focuses on consistency over intensity. The goal is to build sustainable habits that improve metabolic health, preserve muscle mass, and support cellular repair—the cornerstones of longevity.
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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 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.
Read the full answer
Qwen3.5 Plus 2026-04-201,321 words
Dish Title: Convergence: Abalone, Asparagus, and the Alchemy of Time Course: Signature Main / Pre-Dessert Bridge Yield: 4 Plates Prep Time: 72 Hours (primarily curing/fermentation) Cooking Time: 45 Minutes I. Conceptual Narrative Convergence is a meditation on duality and transformation.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-6 Luna Pro434 words
Operating and debt schedule Conventions: Interest is calculated on beginning-of-year debt; the 1% Term Loan amortization is 1% of its original $480m principal ($4.8m annually). Mezzanine PIK accrues at 2% annually.
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Qwen3.5 Plus 2026-04-20562 words
Year-by-Year Projection (FY2026–FY2030) Entry Metrics: EV: $1,440m (12.0x FY2025 EBITDA $120m) Debt: $660m (Term $480m + Mezz $180m) Equity Check: $808.8m [ = (EV − Debt) + Fees = ($1,440 − $660) + (2.0% × $1,440) ] Initial Investment (t=0): $808.8m ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4…
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20

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

GPT-6 Luna Pro costs 4.8x 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
4.0× cheaper
Output
$0.50
4.8× cheaper
Qwen3.5 Plus 2026-04-20
Input
$0.40
Output
$2.40

GPT-6 Luna Pro is cheaper on both: 4.0× input, 4.8× 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
Qwen3.5 Plus 2026-04-201 host
HostInOutContextUptime
Alibaba Cloud$0.30 in·$1.80 out·1M·99.9% 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 Qwen3.5 Plus 2026-04-20 is developed by Qwen. GPT-6 Luna Pro has a 1.1M token context window vs Qwen3.5 Plus 2026-04-20'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 Qwen3.5 Plus 2026-04-20 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 Qwen3.5 Plus 2026-04-20 costs $0.4/M input tokens. GPT-6 Luna Pro is $0.30/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 Qwen3.5 Plus 2026-04-20 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.

Keep exploring

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Same lab, same size, long tail

GPT-6 Luna Pro logoGPT-6 Luna logo
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GPT-6 Luna Pro logoGPT-6 Sol logo
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Qwen3.5 Plus 2026-04-20 logoQwen3.7 Flash logo
Qwen3.5 Plus 2026-04-20 vs Qwen3.7 FlashSame lab
Qwen3.5 Plus 2026-04-20 logoQwen3.8 Flash logo
Qwen3.5 Plus 2026-04-20 vs Qwen3.8 FlashSame lab
GPT-6 Luna Pro logoQwen3.8 2.4T A95B logo
GPT-6 Luna Pro vs Qwen3.8 2.4T A95BCross-provider
GPT-6 Luna Pro logoQwen3.8 27B logo
GPT-6 Luna Pro vs Qwen3.8 27BCross-provider
GPT-6 Luna Pro logoQwen3.8 Flash logo
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GPT-6 Luna Pro logoQwen3.8 Max logo
GPT-6 Luna Pro vs Qwen3.8 MaxCross-provider

Model pages

GPT-6 Luna Pro logo
GPT-6 Luna Pro20 outputs, specs and price
Qwen3.5 Plus 2026-04-20 logo
Qwen3.5 Plus 2026-04-2056 outputs, specs and price
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