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  1. Home
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  5. GPT-6 LunavsHy3
Updated Sep 2026

GPT-6 LunavsHy3

GPT-6 Luna is cheaper than Hy3 at $0.1/M vs $0.132/M input tokens.

GPT-6 Luna and Hy3 compared across 14 shared prompts
SpecGPT-6 LunaHy3
Input price$0.1/M tokens$0.132/M tokens
Output price$0.5/M tokens$0.528/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 14 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 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…
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Hy3178 words
Dish Name: Ruby Hurricane Pasta Ingredients (exactly 7 common pantry staples): Spaghetti (or any dry pasta) Canned diced tomatoes Garlic (pre-minced or whole cloves) Extra-virgin olive oil Red pepper flakes Salt Grated Parmesan (shelf-stable style) (Water for boiling pasta is assumed free and not counted.)
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-6 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
Read the full answer
Hy3997 words
Assumptions / Starting Point Current time: Monday 9:00 AM. Board meeting: Wednesday 9:00 AM (Hour 48). Earnings call: Thursday 9:00 AM (Hour 72). Drug: $2B revenue, 4M patients, liver failure 1/8,000 over 5 yrs (~500 total, ~100/yr).
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 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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Hy3559 words
Below are the three weakest claims in the MindMeld AI pitch, why they fail under scrutiny, and how to fix them with concrete, defensible improvements. Slide 3 – “94% accuracy” and “works with any language, any device” Why it’s weak: Technical implausibility: State-of-the-art non-invasive EEG decoding for…
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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 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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Hy3921 words
Premise: A functional solid-state transistor (germanium point-contact or junction) is demonstrated in 1920, with steady refinement through the interwar years. Vacuum tubes are not immediately displaced, but by the early 1930s transistors are reliable enough for niche military and telecom use, and by the late 1930s they…
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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 Luna405 words
All figures in $m. Assumptions: annual Term Loan amortization is 1% of original principal ($4.8m); cash interest is based on beginning-of-year balances; Mezz PIK compounds annually.
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Hy3354 words
1) Simplified LBO Model (FY2026–FY2030, $m) Entry (end FY25): EBITDA $120m, EV = 12.0x = $1,440m. Fees 2% = $28.8m. Debt: TL $480m (9% cash, 1% amort), Mezz $180m (12% cash + 2% PIK). Equity = 1,440+28.8–660 = $808.8m. FY Revenue EBITDA TL Int Mezz Int Cash Tax* Capex ΔNWC FCF after req. svc (opt.
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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 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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Hy3498 words
The 90-Day Biohacker Longevity & Performance Protocol Goal: Maximize healthspan, cognitive resilience, and physical capacity via quantified self, metabolic flexibility, and targeted compounds. Assumptions: Healthy adult, experienced with fasting/exercise, access to wearables & supplements. I.
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Our Verdict
GPT-6 Luna
GPT-6 Luna
Hy3
Hy3

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

Too close to call
API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
1.3× cheaper
Output
$0.50
1.1× cheaper
Hy3
Input
$0.13
Output
$0.53

GPT-6 Luna is cheaper on both: 1.3× input, 1.1× output.

Where to run it

9 hosts, cheapest first

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
Hy36 hosts
HostInOutContextUptime
DDeepInfrafp4$0.13 in·$0.53 out·262k·99.6% upTencentfp8$0.13 in·$0.53 out·262k·99.9% upGGMI Cloudbf16$0.14 in·$0.58 out·262k·99.5% upNNovita$0.14 in·$0.58 out·262k·100% upPPhala$0.15 in·$0.64 out·262k·99.9% upAAtlasCloudfp8$0.20 in·$0.80 out·262k·99.6% 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 is developed by OpenAI while Hy3 is developed by Tencent. GPT-6 Luna has a 1.1M token context window vs Hy3's 262K. You can compare their actual outputs across 14 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna and Hy3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 14 challenges so you can judge which fits your needs best.

GPT-6 Luna costs $0.1/M input tokens and Hy3 costs $0.132/M input tokens. GPT-6 Luna is $0.03/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 and Hy3 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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