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  5. GPT-6 AstravsGPT-6 Luna Pro
Updated Sep 2026

GPT-6 AstravsGPT-6 Luna Pro

GPT-6 Luna Pro is cheaper than GPT-6 Astra at $0.1/M vs $10/M input tokens.

GPT-6 Astra and GPT-6 Luna Pro compared across 20 shared prompts
SpecGPT-6 AstraGPT-6 Luna Pro
Input price$10/M tokens$0.1/M tokens
Output price$50/M tokens$0.5/M tokens
Context window1.1M tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 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 Astra2,730 words
A 12-week longevity and performance plan The most effective “advanced” longevity strategy is not the largest supplement stack. It is a well-controlled program that improves cardiovascular fitness, strength, metabolic health, sleep, and sustainable behavior—while using measurements to avoid overtraining, underfueling…
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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

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 Astra2,505 words
This design can support a collaborative-editor prototype, but its current consistency model will lose edits, its cross-server propagation will produce inconsistent views, and its persistence and caching choices create durability and security risks.
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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

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 Astra989 words
For an experienced software engineer Think of a large language model as a program with an enormous array of tunable parameters rather than explicitly written rules. Training text is broken into tokens—word fragments, punctuation, and other units—and the model learns to predict each token from the preceding ones.
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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

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 Astra200 words
Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
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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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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 Astra1,000 words
LedgerLift (LLLT): Internal IC Memo Fictional exercise; not investment advice. Dollar figures in millions unless noted. Recommendation: PASS 12-month valuation/PT range: $30–$46, versus $46 currently; bear-case downside reference approximately $18.
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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.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GPT-6 Astra1,967 words
A transistor invented in 1920 would probably bring the electronics age forward—but not uniformly by 27 years. The first gains would be smaller, more reliable radios and control systems. Computers, integrated circuits, and space systems would follow only when other prerequisites caught up.
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GPT-6 Luna Pro1,661 words
The biggest change would not be that 1920 suddenly gets modern computers. It would be that governments and firms have six or seven extra decades to develop semiconductor materials, manufacturing, and applications.
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Our Verdict
GPT-6 Astra
GPT-6 Astra
GPT-6 Luna Pro
GPT-6 Luna ProRunner-up

Not enough votes to call it. On the specs, GPT-6 Astra has the edge: bigger model tier.

GPT-6 Luna Pro costs 100x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Astra
Input
$10.00
Output
$50.00
GPT-6 Luna Pro
Input
$0.10
100× cheaper
Output
$0.50
100× cheaper

GPT-6 Luna Pro is cheaper on both: 100× input, 100× output.

Where to run it

5 hosts, cheapest first

GPT-6 Astra3 hosts
HostInOutContextUptime
Azure AI Foundry$10.00 in·$50.00 out·1.1M·100% upOpenAI$10.00 in·$50.00 out·1.1M·100% upAmazon Bedrock$11.00 in·$55.00 out·1.1M·100% up
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

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

Research

What we learned reading every model

FAQ

Common questions

Both are developed by OpenAI but target different use cases. GPT-6 Astra has a 1.1M token context window vs GPT-6 Luna Pro's 1.1M. 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 Astra and GPT-6 Luna Pro 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 Astra costs $10/M input tokens and GPT-6 Luna Pro costs $0.1/M input tokens. GPT-6 Luna Pro is $9.90/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 Astra and GPT-6 Luna Pro 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

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