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  5. GPT-4o minivsGPT-6 Luna
Updated Sep 2026

GPT-4o minivsGPT-6 Luna

GPT-6 Luna is cheaper than GPT-4o mini at $0.1/M vs $0.15/M input tokens.

GPT-4o mini and GPT-6 Luna compared across 20 shared prompts
SpecGPT-4o miniGPT-6 Luna
Input price$0.15/M tokens$0.1/M tokens
Output price$0.6/M tokens$0.5/M tokens
Context window128K tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJul 2024Sep 2026
Side by side

Same prompt, both answers

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

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-4o mini413 words
Certainly! Here are three potentially weak claims from the MindMeld AI pitch deck, along with explanations of their weaknesses and suggestions for improvement: Claim: "Our proprietary EEG headband uses advanced ML to decode 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

Adversarial Contract Review

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

GPT-4o mini708 words
The contract you provided contains several clauses that could be potentially exploitative against the contractor. Below, I identify those clauses, suggest specific modifications, and provide legal reasoning for each modification.
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

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-4o mini731 words
48-Hour Action Plan Hour 1-2: Assemble a Crisis Management Team Action: Convene an emergency meeting with key members of the executive team, including the heads of R&D, legal, compliance, regulatory affairs, and communications.
Read the full answer
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

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-4o mini568 words
1-Month Plan for Better Health and Longevity Overview This plan focuses on three key areas: Diet, Exercise, and Sleep. Each week will build upon the previous one, making it easy for beginners to integrate these habits into their daily lives. Week 1: Foundation Building Diet: Goal: Start a balanced diet.
Read the full answer
GPT-6 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
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-4o mini612 words
In the architecture you've described for a real-time collaborative document editor, various potential failure modes, race conditions, and scaling bottlenecks can arise. Below, I outline these issues along with proposed solutions and their associated trade-offs. Failure Modes a.
Read the full answer
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…

GPT-4o mini620 words
Dish Name: "Terra & Tides: Harmony of Land and Sea" Conceptual Narrative: This dish elegantly marries the earthiness of land-based ingredients with the sublime flavors of the ocean, representing a symbiotic relationship between nature's elements.
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
GPT-6 Luna
GPT-6 Luna
GPT-4o mini
GPT-4o miniRunner-up

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

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4o mini
Input
$0.15
Output
$0.60
GPT-6 Luna
Input
$0.10
1.5× cheaper
Output
$0.50
1.2× cheaper

GPT-6 Luna is cheaper on both: 1.5× input, 1.2× output.

Where to run it

5 hosts, cheapest first

GPT-4o mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.15 in·$0.60 out·128k·100% upOpenAI$0.15 in·$0.60 out·128k·99.4% 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-4o mini has a 128K 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-4o mini 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-4o mini costs $0.15/M input tokens and GPT-6 Luna costs $0.1/M input tokens. GPT-6 Luna is $0.05/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-4o mini 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

GPT-4o mini logo
GPT-4o mini55 outputs, specs and price
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Rival
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