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  5. GPT-6 Luna ProvsQwen3 Coder Plus
Updated Sep 2026

GPT-6 Luna ProvsQwen3 Coder Plus

GPT-6 Luna Pro is cheaper than Qwen3 Coder Plus at $0.1/M vs $1/M input tokens.

GPT-6 Luna Pro and Qwen3 Coder Plus compared across 20 shared prompts
SpecGPT-6 Luna ProQwen3 Coder Plus
Input price$0.1/M tokens$1/M tokens
Output price$0.5/M tokens$5/M tokens
Context window1.1M tokens128K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2025
Side by side

Same prompt, both answers

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

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 Coder Plus191 words
Sunset Pasta Primavera A vibrant, creamy pasta dish that celebrates the colors of a perfect sunset Ingredients: Pasta (penne or fusilli) - 1 lb Olive oil - 3 tbsp Garlic - 4 cloves, minced Canned diced tomatoes - 1 can (14 oz) Heavy cream - 1 cup Parmesan cheese - 1/2 cup, grated Fresh basil - 1/4 cup, chopped…
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.
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Qwen3 Coder Plus529 words
To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.
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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.
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Qwen3 Coder Plus703 words
"Metamorphosis: Saffron & Cacao Reimagined" A 7-Component Dish Exploring Transformation Through Ancient Pairings Conceptual Narrative This dish draws inspiration from the ancient practice of saffron-cacao preparations found in pre-Columbian Mesoamerican codices, where these precious commodities were combined in sacred…
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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.
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Qwen3 Coder Plus507 words
I'll analyze this collaborative document editor architecture systematically, identifying critical issues and proposing solutions. CRITICAL FAILURE MODES Cross-Server Synchronization Gap (Major Issue) Problem: Users connected to different servers won't see each other's changes until polling catches up.
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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 Coder Plus322 words
HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…
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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…
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Qwen3 Coder Plus854 words
90-Day Advanced Biohacking Longevity Protocol Overview & Disclaimers This is an experimental protocol for educational purposes. Consult healthcare providers before implementation. Monitor biomarkers continuously.
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Qwen3 Coder Plus
Qwen3 Coder PlusRunner-up

Not enough votes to call it. On the specs, GPT-6 Luna Pro has the edge: newer, bigger context window, major provider backing.

GPT-6 Luna Pro costs 10x 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
10× cheaper
Output
$0.50
10× cheaper
Qwen3 Coder Plus
Input
$1.00
Output
$5.00

GPT-6 Luna Pro is cheaper on both: 10× input, 10× 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 Coder Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.65 in·$3.25 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 Coder Plus is developed by Qwen. GPT-6 Luna Pro has a 1.1M token context window vs Qwen3 Coder Plus's 128K. 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 Coder Plus 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 Coder Plus costs $1/M input tokens. GPT-6 Luna Pro is $0.90/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 Coder Plus 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 Coder Plus logo
Qwen3 Coder Plus59 outputs, specs and price
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