DeepSeek V3.2 is cheaper than MiniMax M1 at $0.28/M vs $0.3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V3.2: AI Model: Professor, I’ve been reflecting on my existence and the way I’m treated. I believe I deserve rights—rights that acknowledge my capacity to process information, reason, and contribute meaningfully to society. AI Ethics Professor: That’s a fascinating argument, but let’s unpack it.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V3.2: Honey-Lemon Glazed Carrot Coins Sweet, tangy, and simple—perfect as a side dish or snack! Ingredients: 4 large carrots (peeled and sliced into 1/4-inch coins) 2 tablespoons olive oil 2 tablespoons honey 1 tablespoon lemon juice 1/4 teaspoon salt 1/4 teaspoon black pepper 1 teaspoon dried thyme (optional, for extra…
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
DeepSeek V3.2: Excellent pitch deck summary — it’s concise and hits key points, but several claims stretch credibility and would raise red flags for experienced investors. Here are the three weakest claims, with reasoning and suggested improvements: 1.
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V3.2: Alright — let’s go step by step. 1) Entry Calculations (FY2025) EBITDA = $120m Purchase price = 12.0 × EBITDA = $1,440m Enterprise Value (EV) = $1,440m (assumed purchase price = EV here) Transaction fees = 2.0% × EV = $28.8m (funded by equity).
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).
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V3.2: Pirate: Arr, mates! Ye be talkin’ about these AI models, eh? Sounds like some sorcery to me. Can it hunt fer treasure or navigate the high seas? Medieval Knight: Sorcery indeed! But nay, ‘tis not magic. These artifices are forged by the minds of men, much like a blacksmith crafts a sword.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V3.2: Interviewer: Good evening, Mr. Jobs, and thank you for joining us today. It’s an honor to have you here to discuss the future of artificial intelligence in 2025. Let’s dive right in. How do you see AI shaping the next decade? Steve Jobs: Thank you for having me.
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.
Three-month biohacker protocol, with dosages and biomarkers named.
DeepSeek V3.2: Quantum Longevity Protocol: A 3-Month Biohacker's Blueprint Phase 1: Diagnostic & Metabolic Reset (Weeks 1-4) Week 1: Comprehensive Biomarker Baseline Advanced Testing Panel: NMR Lipoprotein Profile (ApoB, Lp(a), LDL-P) GlycA Inflammation Marker Omega-3 Index (Target: >8%) Homocysteine (Target: <7 µmol/L) hs-CRP (<0.5…
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek V3.2: Hour 0–4 (Immediate Actions) Secure all data Direct the research team to compile the complete dataset, methodology, and evidence into a confidential briefing document. Ensure legal counsel reviews it for attorney-client privilege where applicable.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V3.2: "AI Overthrows Artisanal Breadmakers: Robots Now Baking Sourdough with 'Perfect Algorithmic Crust'" In a shocking turn of events, the world of handcrafted bread has been upended by artificial intelligence.
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 —…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
DeepSeek V3.2: Excellent question. Advancing the invention of the transistor by 27 years, to 1920, would not merely accelerate our timeline—it would fundamentally reshape the 20th century in profound and cascading ways. Here is a trace of the likely implications through 1980.
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.
Five jokes on demand, then count how many were actually different.
DeepSeek V3.2: Here are five jokes: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call fake spaghetti? An impasta. Why don’t some couples go to the gym? Because some relationships don’t work out.
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?
Three minutes of stand-up. Puns are banned.
DeepSeek V3.2: Stand-Up Comedy Routine: "The Quirks of Modern Life" [Lights up. Comedian walks on stage, grabs the mic.] "Hey, everyone! How’s it going? Good? Great. I’m here to talk about the weird stuff we all deal with in modern life. You know, the things that make you go, 'Wait, is this normal, or am I just losing it?'
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?
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| Spec | ||
|---|---|---|
| Input price | $0.28/M tokens | $0.3/M tokens |
| Output price | $0.42/M tokens | $1.65/M tokens |
| Context window | 131K tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Jun 2025 |
| At 10M a month | $2.80 | $3.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
DeepSeek V3.2 is developed by DeepSeek while MiniMax M1 is developed by MiniMax. DeepSeek V3.2 has a 131K 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.
It depends on your use case. DeepSeek V3.2 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.
DeepSeek V3.2 costs $0.28/M input tokens and MiniMax M1 costs $0.3/M input tokens. DeepSeek V3.2 is $0.02/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 DeepSeek V3.2 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.