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

GPT-6 AstravsGPT-6 Luna

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

GPT-6 Astra and GPT-6 Luna compared across 20 shared prompts
SpecGPT-6 AstraGPT-6 Luna
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.

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 Luna113 words
Crispy Parmesan Chickpeas A crunchy, savory snack with a cheesy finish Ingredients (7): 1 can chickpeas, drained and dried 1 tablespoon olive oil ½ teaspoon salt ½ teaspoon paprika ¼ teaspoon garlic powder ¼ cup grated Parmesan 1 tablespoon lemon juice Prep time: 5 minutes Cook time: 30–35 minutes Instructions: Heat…
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 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-6 Astra696 words
The three weakest claims are the 94% decoding accuracy, the $180B TAM, and the promise to predict text “before you think it.” These are central to the investment case but lack the definitions or evidence needed to evaluate them. “Decode neural patterns into text with 94% accuracy. Works with any language, any device.”
Read the full answer
GPT-6 Luna421 words
“94% accuracy” and “predict what you want to type before you think it” Why it’s weak: This is the deck’s central technical claim, but “accuracy” is undefined: Is it word-level or character-level accuracy, measured on a fixed vocabulary or open-ended text, and under what conditions?
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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 Luna1,472 words
The most important caveat is that inventing a transistor is not the same as inventing the modern semiconductor industry. A device demonstrated in 1920 might be a crude, low-power, unreliable point-contact transistor.
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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 Luna896 words
LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $28–$42 At $46, LedgerLift’s price implies continued strong growth and margin expansion; our DCF scenarios value the shares at approximately $17–$42, with the base case near $28.
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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 Astra2,089 words
This agreement is heavily weighted against the Contractor: every numbered clause presents a material risk, and several important protections are missing. This is a general issue-spotting review, not jurisdiction-specific legal advice.
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GPT-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
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Our Verdict
GPT-6 Astra
GPT-6 Astra
GPT-6 Luna
GPT-6 LunaRunner-up

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

GPT-6 Luna 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
Input
$0.10
100× cheaper
Output
$0.50
100× cheaper

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

Where to run it

6 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 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% 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'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 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 costs $0.1/M input tokens. GPT-6 Luna 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 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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