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  5. Claude Sonnet 3.6 (2022-10-22)vsGPT-6 Luna
Updated Sep 2026

Claude Sonnet 3.6 (2022-10-22)vsGPT-6 Luna

GPT-6 Luna is cheaper than Claude Sonnet 3.6 (2022-10-22) at $0.1/M vs $3/M input tokens.

Claude Sonnet 3.6 (2022-10-22) and GPT-6 Luna compared across 20 shared prompts
SpecClaude Sonnet 3.6 (2022-10-22)GPT-6 Luna
Input price$3/M tokens$0.1/M tokens
Output price$15/M tokens$0.5/M tokens
Context window200K tokens1.1M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedJun 2024Sep 2026
Side by side

Same prompt, both answers

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

Adversarial Contract Review

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

Claude Sonnet 3.6 (2022-10-22)434 words
Here's an analysis of problematic clauses and suggested modifications: SCOPE Problem: Allows unlimited scope changes without compensation Modification: "Material changes to scope shall be documented in writing and may require additional compensation as mutually agreed upon by both parties."
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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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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…

Claude Sonnet 3.6 (2022-10-22)142 words
Crunchy Cinnamon Cloud Cookies Total time: 25 minutes Prep time: 10 minutes Bake time: 15 minutes Ingredients: 2 egg whites 1/2 cup granulated sugar 1/4 teaspoon ground cinnamon 1/4 teaspoon vanilla extract Pinch of salt 1/2 cup all-purpose flour 1/4 cup butter, melted Instructions: Preheat oven to 325°F (165°C).
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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

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.…

Claude Sonnet 3.6 (2022-10-22)215 words
Here are the 3 weakest claims and how to strengthen them: WEAK CLAIM: "94% accuracy" in neural pattern decoding WHY IT'S WEAK: Even state-of-the-art invasive BCIs struggle to achieve this level of accuracy No peer-reviewed studies have demonstrated non-invasive EEG achieving >70% accuracy for general text prediction…
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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…

Claude Sonnet 3.6 (2022-10-22)213 words
Here's my analysis of how an earlier transistor invention could have reshaped the 20th century: 1920s-1930s: Initial transistor development would likely be led by major industrial labs (Western Electric, GE, Siemens) Radio and telephone systems would begin transistorizing by late 1920s Early computers emerge in…
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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 Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Claude Sonnet 3.6 (2022-10-22)471 words
Here's a comprehensive 3-month longevity optimization plan: MONTH-BY-MONTH BREAKDOWN Month 1: Foundation Building Focus: Establishing baseline metrics and core habits Key areas: Diet adaptation, basic supplementation, exercise introduction Month 2: Protocol Intensification Focus: Optimizing interventions and increasing…
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GPT-6 Luna1,874 words
12-week longevity and performance plan This plan is for a generally healthy adult who wants to improve fitness, metabolic health, sleep, and cognitive performance—not a substitute for medical care or a promise to slow aging.
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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…

Claude Sonnet 3.6 (2022-10-22)512 words
INVESTMENT COMMITTEE MEMO: LedgerLift (LLLT) RECOMMENDATION: LONG PT Range: $52-78 Risk/Reward: +70%/-25% Thesis: LedgerLift represents a compelling long opportunity in the B2B spend management space, combining best-in-class unit economics (123% NRR, 18-month CAC payback) with significant operating leverage potential…
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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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Our Verdict
GPT-6 Luna
GPT-6 Luna
Claude Sonnet 3.6 (2022-10-22)
Claude Sonnet 3.6 (2022-10-22)Runner-up

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

GPT-6 Luna costs 30x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Claude Sonnet 3.6 (2022-10-22)
Input
$3.00
Output
$15.00
GPT-6 Luna
Input
$0.10
30× cheaper
Output
$0.50
30× cheaper

GPT-6 Luna is cheaper on both: 30× input, 30× output.

Where to run it

3 hosts, cheapest first

Claude Sonnet 3.6 (2022-10-22)

No hosts listed on OpenRouter.

GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·100% upOpenAI$0.10 in·$0.50 out·1.1M·100% upAmazon Bedrock$0.11 in·$0.55 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

Claude Sonnet 3.6 (2022-10-22) is developed by Anthropic while GPT-6 Luna is developed by OpenAI. Claude Sonnet 3.6 (2022-10-22) has a 200K 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. Claude Sonnet 3.6 (2022-10-22) 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.

Claude Sonnet 3.6 (2022-10-22) costs $3/M input tokens and GPT-6 Luna costs $0.1/M input tokens. GPT-6 Luna is $2.90/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 Claude Sonnet 3.6 (2022-10-22) 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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Same lab, same size, long tail

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Model pages

Claude Sonnet 3.6 (2022-10-22) logo
Claude Sonnet 3.6 (2022-10-22)59 outputs, specs and price
GPT-6 Luna logo
GPT-6 Luna20 outputs, specs and price
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