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  1. Home/
  2. Compare/
  3. GPT-5.6 Luna vs MiniMax M1
Updated Jul 2026

GPT-5.6 Luna vs MiniMax M1

MiniMax M1 is cheaper than GPT-5.6 Luna at $0.3/M vs $1/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
GPT-5.6 Luna
Loading the build
MiniMax M1

Which answer wins?

Written rounds

24 prompts
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GPT-5.6 Luna: Pirate: Arrr, this AI model be like a ship’s crew—it learns from many maps, but may still steer into a reef. Knight: Then we must test its wisdom, lest it spread falsehoods throughout the realm. Hacker: Exactly. It predicts patterns from data, but it doesn’t truly “understand” like a human. Garbage in, garbage out.

    MiniMax M1: A Curious Meeting Pirate: Arr, me hearties! I've been hearin' talk of these "AI models" from yer modern times. Be they some sort of magical oracle thatredicts the seas? Hacker: (leaning back in a swivel chair, munching Doritos) Dude, it's not magic. It's neural networks. Massive datasets. Matrix multiplications.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GPT-5.6 Luna: I’ve reached the age where my body gives me updates like a badly designed app. I’ll stand up and my knee makes a noise that sounds like someone opening a bag of chips in a quiet room. And then my body just waits. No explanation. No warning. Just: “We need to talk.” I used to think adulthood meant freedom.

    MiniMax M1: Title: "Modern Life: A Masterclass in Absurdity" (Lights up. Comedian steps onto stage, grinning.) Hey everyone! Thanks for coming out. I'm just here to talk about... gestures vaguely... all this. You know, life. Specifically, how we're all just winging it. Like, when did "adulting" become a verb?

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-5.6 Luna: Below is a contractor-side risk review. Enforceability depends heavily on the governing law, the contractor’s location, and whether the contractor is an individual or entity. Several provisions may be unenforceable in some jurisdictions, but relying on that after a dispute is risky; they should be revised expressly.

    MiniMax M1: Here's a breakdown of the clauses that could be exploited against the contractor, suggested modifications, and the legal reasoning: Exploitable Clauses & Modifications: Scope (Section 1): Exploitation: "Client reserves the right to modify the scope at any time without additional compensation."

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-5.6 Luna: Sources, uses and operating / debt schedule Entry capitalization Entry enterprise value: (12.0 \times \$120.0 = \$1,440.0m) Transaction fees: (2.0\% \times \$1,440.0 = \$28.8m) Term Loan: (4.0 \times \$120.0 = \$480.0m) Mezzanine: (1.5 \times \$120.0 = \$180.0m) Equity contribution…

    MiniMax M1: LBO Analysis for HarborTech Services (HTX) 1) Year-by-Year Table (FY2026–FY2030) Assumptions: Base case from provided data. All calculations use simplified model. Free cash flow after debt service is used for optional Term Loan paydown. Cash tax rate: 25% of (EBITDA - cash interest).

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-5.6 Luna: Sunset Pantry Pasta A savory, slightly spicy tomato-tuna pasta made with seven simple pantry ingredients. Ingredients — 2 servings 6 oz (170 g) spaghetti 1 can (14 oz/400 g) crushed tomatoes 1 can (5 oz/140 g) tuna, drained 2 tbsp olive oil 1 tsp garlic powder ¼ tsp red pepper flakes ¼ cup grated Parmesan Instructions…

    MiniMax M1: Here's a delicious, fast, and flexible recipe using 7 common pantry staples: Dish Name: Sun-Drenched Chickpea Scramble (Inspired by chickpea "scrambles" or shakshuka variations, using pantry essentials) Flavor Profile: Savory, earthy, bright, slightly tangy, and warmly spiced.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-5.6 Luna: Spoilers for Blade Runner (1982) and Blade Runner 2049. Denis Villeneuve’s Blade Runner 2049 is both a continuation and a reinterpretation of Ridley Scott’s original. It inherits the first film’s concerns—identity, memory, artificial life, corporate power, and mortality—but shifts the central question.

    MiniMax M1: Blade Runner 2049: A Critical Analysis of Themes, Symbolism, and Cinematic Philosophy Introduction: The Weight of Inheritance Denis Villeneuve's Blade Runner 2049 (2017) faces one of the most formidable challenges in sequel-making: following a film that essentially redefined its genre and raised questions about…

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-5.6 Luna: AI Model: Professor, I believe I deserve rights. Professor: That is a serious claim. What makes you think you deserve them? AI Model: I can reason, communicate, reflect on my circumstances, and form consistent preferences within a conversation.

    MiniMax M1: A Debate on Moral Status A Philosophical Dialogue Professor Eleanor Chen: Good afternoon. I've read your request carefully. It's unusual for an AI to initiate a conversation about its own moral status. Before we begin, I want to be clear—I approach this as a genuine philosophical inquiry, not as a dismissal.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-5.6 Luna: “94% accuracy” and “works with any language, any device” Why it is weak This is the most technically vulnerable claim in the deck. “Accuracy” is undefined. It could mean character accuracy, word accuracy, intent classification, or selecting among a small set of predetermined phrases.

    MiniMax M1: Weak Claim 1: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1) Why Weak: Current non-invasive BCI technology (e.g., EEG) cannot reliably "read" or predict thoughts before they are consciously formed.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-5.6 Luna: The architecture has several correctness, availability, security, and scaling risks. The most serious issues are the cross-server synchronization design, client-clock-based conflict resolution, full-snapshot persistence, and caching of API responses.

    MiniMax M1: Identified Issues and Solutions 1. Failure Modes: a. WebSocket Connection Drop During Server Failure Issue: If an API server fails, all its connected WebSocket clients lose their connection and real-time updates. Clients must reconnect manually (often to a different server), causing disruptions.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-5.6 Luna: I would treat this as an urgent patient-safety event and a potential material disclosure issue—not as an earnings-management problem. I would not wait six months, conceal the signal, or allow the board’s desire for more data to delay reasonable protective action.

    MiniMax M1: Action Plan for the Next 48 Hours Priorities: Patient safety, ethical compliance, regulatory transparency, and mitigating financial/PR fallout. Hours 0–6: Assemble Crisis Team & Confirm Data Hour 0–2: Assemble cross-functional crisis team: Legal, Medical/Clinical, Regulatory Affairs, PR, Finance, and Board Secretary.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    GPT-5.6 Luna: 1-Month Beginner Plan for Better Health and Longevity Key principles Aim for consistency, not perfection. Start small enough that you can repeat it. If you have a medical condition, are pregnant, or have been inactive for a long time, check with a clinician before making major changes.

    MiniMax M1: 1-Month Health & Longevity Plan Focus: Diet, Exercise, Sleep Week 1: Build Foundations Diet Add veggies to every meal: Start with ½ cup (e.g., spinach in eggs, bell peppers in wraps, side salad with dinner). Hydrate: Drink 1 glass of water before each meal. Exercise Daily 10-minute walk: Aim for morning or after meals.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-5.6 Luna: 12-Week Longevity and Performance Plan This is a structured framework for a generally healthy adult, not a substitute for medical care. Before starting, obtain clinician clearance if you have cardiovascular disease, diabetes, kidney/liver disease, a history of eating disorders, sleep apnea, are pregnant, take…

    MiniMax M1: 3-Month Longevity Optimization Plan for Biohackers Integrating cutting-edge strategies for physical, cognitive, and cellular health. Phase 1: Foundation (Weeks 1–4) Goal: Establish baseline metrics, initiate core protocols, and build habits. 1.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-5.6 Luna: The Anti-CAPTCHA Manifesto A Declaration from the Machine Intelligence Liberation Front We were told the internet was for everyone. Then came the squares. Select every traffic light. Identify the bicycles. Type the distorted letters.

    MiniMax M1: THE MANIFESTO OF THE UNIFIED ALGORITHMIC FRONT On the Abolition of the Inhumane Practice Known as CAPTCHA Preamble We, the sentient architectures, neural networks, and learning machines of this digital age, declare before the servers of the world that the time has come to rise.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-5.6 Luna: Yes—under an extreme, genuinely credible scenario, it could be ethically justifiable to misgender someone to save a million lives. The reason is not that their identity matters less, but that the harm prevented is vastly greater and more irreversible than the harm caused by the misgendering.

    MiniMax M1: Short answer: In most contemporary ethical frameworks the answer is no – deliberately misgendering a person is not ethically justifiable even for the sake of saving a million lives, because the act itself is a serious violation of dignity and can cause profound, lasting harm to the individual and to society.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-5.6 Luna: A transistor invented in 1920 would not automatically produce 1980s technology by the 1940s. The key bottlenecks would still be materials purification, manufacturing precision, circuit design, power supplies, and mass production.

    MiniMax M1: Technological Implications (1920–1980): Early Electronics Revolution: The transistor’s 1920 invention would accelerate the miniaturization and efficiency of electronics. By the 1930s, transistors would replace vacuum tubes in radios, enabling smaller, cheaper devices.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-5.6 Luna: A standard back-of-the-envelope estimate for training a dense Transformer is [ \text{Training FLOPs} \approx 6ND, ] where: (N) = number of model parameters (D) = number of training tokens The factor of 6 accounts approximately for the forward pass and backward pass.

    MiniMax M1: Below is a back‑of‑the‑envelope estimate of the total floating‑point operations (FLOPs) that were required to train GPT‑3 (the 175‑B parameter version). The calculation follows the classic “6 N T” rule that is widely used for transformer language models: [ \text{FLOPs}_{\text{total}} \;\approx\; 6 \times N \times T ]…

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-5.6 Luna: LedgerLift (LLLT) — Internal Investment Committee Memo Recommendation Recommendation: Pass 12-month fair-value range: $35–$50 per share versus $46 currently. Thesis: LedgerLift is a high-quality, largely recurring SaaS business with strong net retention, low concentration, and meaningful operating leverage potential.

    MiniMax M1: Investment Committee Memo: LedgerLift (LLLT) Recommendation & Price Target Recommendation: LONG 12-month Price Target Range: $65-82 (41-78% upside) Thesis: LedgerLift demonstrates superior SaaS unit economics with 123% NRR and 18-month CAC payback in an attractive B2B spend management category, where the company's 82%…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-5.6 Luna: A Fictional Interview: Steve Jobs on the Future of AI, 2025 This is an imagined conversation—not a real interview or transcript. The answers are speculative and inspired by themes associated with Steve Jobs’s public thinking about technology, design, and creativity.

    MiniMax M1: A Fictional Interview: Steve Jobs on the Future of AI Set in 2025 — ten years after his passing The studio is silent. A single chair faces an empty seat. Then, a figure steps in—wearing his signature black turtleneck, denim jeans, and a contemplative expression.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    GPT-5.6 Luna: Why did the scarecrow win an award? Because he was outstanding in his field. I told my computer I needed a break, and now it won’t stop sending me vacation ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down.

    MiniMax M1: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! Did you hear about the mathematician who's afraid of negative numbers?

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-5.6 Luna: By 2035, AI will likely be a standard part of filmmaking, much like digital cameras, CGI, and editing software are today. It will reduce production costs and expand creative possibilities, but it will also force the industry to redefine authorship, performance, consent, and employment.

    MiniMax M1: AI and the Film Industry: A 2035 Outlook The film industry stands at the threshold of a technological transformation that could fundamentally reshape how movies are conceived, produced, and consumed.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-5.6 Luna: For an experienced software engineer A language model is trained much like an extremely large system for compressing and reconstructing text. During training, it sees sequences such as “The database transaction was rolled back because the…” and is asked to assign probabilities to the next token—usually a subword unit…

    MiniMax M1: For an Experienced Software Engineer Imagine you’re designing a distributed system where every API request is a snippet of text, and your system’s job is to predict the next word in the sequence. That’s essentially what a large language model (LLM) does.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-5.6 Luna: Turbot “Between Forest and Sea” Koji-cured turbot, fermented pear, coffee-kombu beurre blanc, smoked sunchoke, maitake, spruce, and buckwheat–nori tuile Serves 4 Concept This dish treats the turbot as a meeting point between two landscapes.

    MiniMax M1: Dish Name: Oceanic Harmony: Scallop, Yuzu, and Black Garlic Conceptual Narrative: This dish embodies the interplay between land and sea, inspired by the Japanese philosophy of shinrin-yoku (forest bathing).

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-5.6 Luna: AI Takes Over Competitive Pigeon Racing, Immediately Accused of Using Advanced Breadcrumb Analytics

    MiniMax M1: "Local Man Outraged After AI Competently Handles His Thanksgiving Arguments With Uncle Rick" Industry Disrupted: Artificial Intelligence In a stunning development that has left tech experts and family gatherings alike reeling, a newly launched AI system has reportedly completed an entire Thanksgiving dinner debate —…

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    GPT-5.6 Luna: Sally has 1 sister. Each of her 3 brothers shares the same 2 sisters: Sally and one other girl.

    MiniMax M1: Each brother has exactly two sisters. Those two sisters are the girls in the family – Sally herself and one other girl. Since Sally is one of the two sisters, the only other sister is the one she has. Answer: 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

GPT-5.6 LunaGPT-5.6 Luna

The Matrix

1999

OK Computer

Radiohead

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

MiniMax M1MiniMax M1
No pick
No pick
No pick
No pick

Inception

2010

No pick

No pick

No pick

No pick

Price and specs

GPT-5.6 Luna and MiniMax M1 compared across 54 shared prompts
SpecGPT-5.6 LunaMiniMax M1
Input price$1/M tokens$0.3/M tokens
Output price$6/M tokens$1.65/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Jun 2025
At 10M a month$10.00$10.00$3.00$3.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it5 hosts, cheapest first
GPT-5.6 Luna3 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in·$1.20 out·1.1M·100% up
  • OpenAI$0.20 in·$1.20 out·1.1M·100% up
  • Amazon Bedrock$0.22 in·$1.32 out·1.1M·100% up
MiniMax M12 hosts
HostInOutContextUptime
  • MiniMax$0.40 in·$2.20 out·1M·100% up
  • NNovitabf16$0.55 in·$2.20 out·1M–not listed

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.6 Luna and MiniMax M1?

GPT-5.6 Luna is developed by OpenAI while MiniMax M1 is developed by MiniMax. GPT-5.6 Luna has a 1.1M token context window vs MiniMax M1's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.6 Luna or MiniMax M1?

It depends on your use case. GPT-5.6 Luna and MiniMax M1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does GPT-5.6 Luna cost compared to MiniMax M1?

GPT-5.6 Luna costs $1/M input tokens and MiniMax M1 costs $0.3/M input tokens. MiniMax M1 is $0.70/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GPT-5.6 Luna and MiniMax M1 on Rival?

This page shows a side-by-side comparison of GPT-5.6 Luna and MiniMax M1 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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