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  5. Gemini 3.6 FlashvsGPT-6 Luna
Updated Sep 2026

Gemini 3.6 FlashvsGPT-6 Luna

GPT-6 Luna is cheaper than Gemini 3.6 Flash at $0.1/M vs $1.5/M input tokens.

Gemini 3.6 Flash and GPT-6 Luna compared across 20 shared prompts
SpecGemini 3.6 FlashGPT-6 Luna
Input price$1.5/M tokens$0.1/M tokens
Output price$7.5/M tokens$0.5/M tokens
Context window1.0M tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJul 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…

Gemini 3.6 Flash301 words
Velvet Honey-Garlic Chili Pasta This dish turns basic pantry staples into a restaurant-worthy meal in just 15 minutes. Rich butter, sweet honey, savory soy sauce, and a kick of red pepper flakes coat cooked pasta for the ultimate quick comforting dish.
Read the full answer
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

Adversarial Contract Review

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

Gemini 3.6 Flash1,124 words
This draft agreement is extremely one-sided and predatory. Almost every clause contains severe risks that could allow the Client to extract free labor, seize your pre-existing intellectual property, bankrupt you through uncapped liabilities, or prevent you from working in your field.
Read the full answer
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.
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.…

Gemini 3.6 Flash641 words
Here are the 3 weakest claims in the MindMeld AI pitch deck, along with the logic behind why VCs will flag them, and concrete ways to strengthen each point. The Technical Feasibility Claim (Slide 3 & Slide 1) Claim: "Non-invasive EEG headband... decodes neural patterns into text with 94% accuracy.
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?
Read the full answer

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…

Gemini 3.6 Flash1,347 words
As CEO, my fundamental leadership principle in a crisis of this magnitude is: You cannot manage a crisis until you accept the full cost of doing the right thing. A safety issue of 1 in 8,000 patients over 5 years across a 4-million-patient population represents approximately 500 potential cases of liver failure.
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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

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Gemini 3.6 Flash1,163 words
This architecture contains several critical single points of failure, severe race conditions, data-loss mechanisms, and major performance bottlenecks. Below is a detailed breakdown of these issues categorized by domain, along with proposed architectural fixes and trade-offs.
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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

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…

Gemini 3.6 Flash1,149 words
Shadows of the Forest & Shore Veal Sweetbreads & Torch-Cured Otoro with Fermented Rhubarb, Roasted Coffee-Glace, Sunchoke Silk, and Spruce Needle Oil Conceptual Narrative This dish explores the uncanny harmony between two rich, highly prized delicacies from opposing domains: the terrestrial richness of milk-fed veal…
Read the full answer
GPT-6 Luna1,249 words
Turbot, White Asparagus, Green Strawberry Kosho & Toasted-Hay Beurre Blanc A composed spring dish for four, built around an unusual pairing: tart green strawberry and toasted hay.
Read the full answer
Our Verdict
Gemini 3.6 Flash
Gemini 3.6 Flash
GPT-6 Luna
GPT-6 Luna

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

GPT-6 Luna costs 15x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 3.6 Flash
Input
$1.50
Output
$7.50
GPT-6 Luna
Input
$0.10
15× cheaper
Output
$0.50
15× cheaper

GPT-6 Luna is cheaper on both: 15× input, 15× output.

Where to run it

5 hosts, cheapest first

Gemini 3.6 Flash2 hosts
HostInOutContextUptime
Google Vertex AI$0.38 in·$1.88 out·1M·99.2% upGoogle AI Studio$0.75 in·$3.75 out·1M·99.9% 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

Gemini 3.6 Flash is developed by Google AI while GPT-6 Luna is developed by OpenAI. Gemini 3.6 Flash has a 1.0M 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. Gemini 3.6 Flash 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.

Gemini 3.6 Flash costs $1.5/M input tokens and GPT-6 Luna costs $0.1/M input tokens. GPT-6 Luna is $1.40/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 Gemini 3.6 Flash 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

Gemini 3.6 Flash logo
Gemini 3.6 Flash58 outputs, specs and price
GPT-6 Luna logo
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