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  5. GPT-6 Luna ProvsMiniMax M2.7
Updated Sep 2026

GPT-6 Luna ProvsMiniMax M2.7

GPT-6 Luna Pro is cheaper than MiniMax M2.7 at $0.1/M vs $0.3/M input tokens.

GPT-6 Luna Pro and MiniMax M2.7 compared across 20 shared prompts
SpecGPT-6 Luna ProMiniMax M2.7
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 2026Mar 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…

GPT-6 Luna Pro127 words
Golden Pantry Pancakes Fluffy, lightly sweet pancakes made with everyday staples. Makes: About 6 small pancakes Prep time: 5 minutes Cook time: 10 minutes Ingredients 1 cup all-purpose flour 1 cup milk 1 egg 2 tablespoons sugar 1 teaspoon baking powder ¼ teaspoon salt 2 tablespoons butter, melted (plus a little for the…
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MiniMax M2.7417 words
“Golden Harvest Chickpea Stew” Hearty, spiced, and ready in about 40 minutes—perfect for a quick weeknight dinner using only pantry staples. Item Details Prep Time 10 minutes Cook Time 30 minutes Total Time 40 minutes Servings 4 (about 1 ½ cups each) Vegan / Gluten‑Free Yes (just make sure your canned goods are…
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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 Luna Pro327 words
A simple 1-month plan for better health and longevity Choose three foundations: eating well, moving regularly, and sleeping consistently. Aim for steady habits, not perfection. Diet: Make nourishing choices easier Week 1: Add one serving of fruit or vegetables to one meal each day.
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MiniMax M2.7953 words
🚀 1‑Month “Health & Longevity” Kick‑Start Below is a beginner‑friendly, 3‑area plan (Nutrition, Movement, and Sleep + Stress). Each week builds on the last, so you’ll never feel overwhelmed. Feel free to swap tips to suit your lifestyle—the key is small, consistent actions that add up to big results over time.
Read the full answer

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…

GPT-6 Luna Pro888 words
LedgerLift (LLLT) — Investment Committee Memo Recommendation: Pass 12-month price target range: $28–44 per share LedgerLift has attractive customer economics, recurring revenue, and a credible path to margin expansion, but those strengths are already reflected in a $46 share price.
Read the full answer
MiniMax M2.71,240 words
MEMORANDUM To: Investment Committee From: Analyst Coverage – SaaS/Enterprise Software Date: June 2026 Re: LedgerLift (LLLT) – Initiating Coverage Recommendation & Price Target Recommendation 12‑Month PT Range 2‑Sentence Thesis SHORT $30 – $38 LedgerLift’s best‑in‑class SaaS metrics (123 % NRR, 94 % gross retention)…
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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 Luna Pro1,906 words
The main architectural risk is that this design treats collaborative editing as ordinary “last write wins” data storage. It is not: edits need a well-defined order, reliable propagation, and a conflict model that preserves concurrent work.
Read the full answer
MiniMax M2.71,586 words
Architecture Analysis: Real-Time Collaborative Document Editor Your architecture contains fundamental design issues that will cause data loss, inconsistency, and scaling failures under real-world conditions. Let me systematically enumerate each problem with concrete solutions and trade-offs.
Read the full answer

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-6 Luna Pro434 words
Operating and debt schedule Conventions: Interest is calculated on beginning-of-year debt; the 1% Term Loan amortization is 1% of its original $480m principal ($4.8m annually). Mezzanine PIK accrues at 2% annually.
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MiniMax M2.7715 words
HARBORTECH SERVICES (HTS) – 5‑year LBO underwriting ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 Revenue 972.0 1 040.0 1 102.4 1 157.6 1 215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Cash‑interest – Term Loan (9 %) 43.2 41.0 37.6 32.8 26.8 Cash‑interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4 Total cash interest 64.8 63.1…
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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 Luna Pro401 words
“94% accuracy” and “works with any language, any device” Why it’s weak: “Accuracy” is undefined. It could mean classifying a small set of prompted words in a controlled lab—not reliably generating free-form text.
Read the full answer
MiniMax M2.71,561 words
Below are the three claims in the MindMeld AI deck that are most likely to raise red‑flags with a savvy investor. For each one I’ll spell out exactly why the statement is weak and then give a concrete, actionable fix you can use to back it up or re‑frame it.
Read the full answer
Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
MiniMax M2.7
MiniMax M2.7Runner-up

Not enough votes to call it. On the specs, GPT-6 Luna Pro 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 Pro
Input
$0.10
3.0× cheaper
Output
$0.50
2.4× cheaper
MiniMax M2.7
Input
$0.30
Output
$1.20

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

Where to run it

10 hosts, cheapest first

GPT-6 Luna Pro2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·98.6% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% up
MiniMax M2.78 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.84 out·197k·99.7% upMMara$0.24 in·$0.96 out·197k·90.6% upNNovitafp8$0.27 in·$1.08 out·205k·99.6% upAAtlasCloudfp8$0.30 in·$1.20 out·197k·98.7% upMiniMaxfp8$0.30 in·$1.20 out·205k·99.6% upDDeepInfrafp8$0.38 in·$1.70 out·197k·91.2% up
2 more hostsFewer hosts
Groq$0.60 in·$1.80 out·197k·98.8% upSSambaNova$0.60 in·$2.40 out·197k·94.9% 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 Pro is developed by OpenAI while MiniMax M2.7 is developed by MiniMax. GPT-6 Luna Pro has a 1.1M token context window vs MiniMax M2.7'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 Pro and MiniMax M2.7 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 Pro costs $0.1/M input tokens and MiniMax M2.7 costs $0.3/M input tokens. GPT-6 Luna Pro 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 Pro and MiniMax M2.7 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

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MiniMax M2.7 logo
MiniMax M2.753 outputs, specs and price
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