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  5. GPT-6 LunavsMiniMax M2.5
Updated Sep 2026

GPT-6 LunavsMiniMax M2.5

GPT-6 Luna is cheaper than MiniMax M2.5 at $0.1/M vs $0.3/M input tokens.

GPT-6 Luna and MiniMax M2.5 compared across 20 shared prompts
SpecGPT-6 LunaMiniMax M2.5
Input price$0.1/M tokens$0.3/M tokens
Output price$0.5/M tokens$1.2/M tokens
Context window1.1M tokens205K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Feb 2026
Side by side

Same prompt, both answers

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

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-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
MiniMax M2.5450 words
1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…
Read the full answer

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.
Read the full answer
MiniMax M2.51,206 words
This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…
Read the full answer

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.
Read the full answer
MiniMax M2.5535 words
Comprehensive 3-Month Longevity & Performance Optimization Plan Disclaimer: This plan involves advanced biohacking protocols. Consult a physician before starting, especially if you have health conditions. Some interventions (e.g., rapamycin, NR/NMN) are investigational. Monitor biomarkers regularly.
Read the full answer

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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MiniMax M2.5297 words
Creative Name: Velvet‑Vanilla Pocket Cake Why it works: Only 7 shelf‑stable (or nearly‑shelf‑stable) staples are needed, and the whole thing comes together in one bowl in under 30 minutes.
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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 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.
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MiniMax M2.5949 words
Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.
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-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
MiniMax M2.51,202 words
“Uni – White Chocolate – Yuzu” An avant‑garde sea‑urchin dish that teams the ocean’s briny “sweet‑umami” with the unexpected creaminess of white chocolate, brightened by yuzu and grounded by black‑sesame and a dashi foam.
Read the full answer
Our Verdict
GPT-6 Luna
GPT-6 Luna
MiniMax M2.5
MiniMax M2.5Runner-up

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
3.0× cheaper
Output
$0.50
2.4× cheaper
MiniMax M2.5
Input
$0.30
Output
$1.20

GPT-6 Luna is cheaper on both: 3.0× input, 2.4× output.

Where to run it

10 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
MiniMax M2.57 hosts
HostInOutContextUptime
VVenice$0.27 in·$0.95 out·198k·86.5% upSStreamLake$0.27 in·$1.08 out·200k·99.8% upAAtlasCloudfp8$0.29 in·$1.20 out·197k·99.6% upFFriendli$0.30 in·$1.20 out·197k·100% upMiniMaxfp8$0.30 in·$1.20 out·205k·99.7% upNNovitafp8$0.30 in·$1.20 out·205k·99.8% up
1 more hostFewer hosts
DDigitalOceandegraded$0.30 in·$1.20 out·66k·75.2% 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 MiniMax M2.5 is developed by MiniMax. GPT-6 Luna has a 1.1M token context window vs MiniMax M2.5's 205K. 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 Luna and MiniMax M2.5 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 Luna costs $0.1/M input tokens and MiniMax M2.5 costs $0.3/M input tokens. GPT-6 Luna is $0.20/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 MiniMax M2.5 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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