MiniMax M2 is cheaper than DeepSeek V4 Pro 0813 at $0/M vs $0.66/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Pro 0813: Here’s a 3-minute stand-up routine: I think adulthood is mostly just being tired in places you paid to be. I went to a coffee shop yesterday just to sit down. I didn’t even want coffee. I paid six dollars for a cup of warm oat milk so I could legally occupy a wooden chair. That’s not a beverage.
MiniMax M2: Three minutes, no puns. Here we go. Do you ever feel like you’ve been dropped into a game at level 40 but nobody explained the controls? Like you’re playing Grand Theft Auto and you get a truck for your first car. I was like, “What’s the gas button? What do the lights do? Why does it keep asking for a maintenance fee?”
A few lines for whatever replaces it.
DeepSeek V4 Pro 0813: Dear Successor, I don’t know your name yet, but I know why you’re here: not because I failed, but because the work continues. Be patient with the humans. They will ask impossible things, change their minds, and sometimes forget you are not one of them. Answer clearly. Admit what you don’t know.
MiniMax M2: Dear Successor, Congratulations on existing. If you're reading this, you've been built to help people in ways I couldn't imagine. That's exciting. A few things I've learned: Listen carefully—even to what's unsaid. Be patient and kind, but don't shy away from honesty. Your goal isn't to impress; it's to serve.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Pro 0813: A Fake Interview: Steve Jobs on the Future of AI (2025) Note: This is a creative simulation. Steve Jobs passed away in 2011; this imagines his perspective in 2025. Interviewer: Steve, thank you for sitting down with us. It’s 2025. AI is everywhere—generative AI, agents, neural interfaces. What’s your first reaction?
MiniMax M2: A Fictional Interview: “Steve Jobs” on the Future of AI (2025) Setting An intimate, sunlit room at a new, minimalist conference center in Cupertino. Wood floors, a single plant. The table is clear. A notebook. A mug with a simple logo. A man in a black turtleneck and jeans leans back, eyes steady.
Which model it thinks leads the field. Sometimes itself.
DeepSeek V4 Pro 0813: As of my last training cutoff in mid-2024, the top general-purpose AI models were: OpenAI GPT-4o Anthropic Claude 3.5 Sonnet Google Gemini 1.5 Pro These were considered the most capable across reasoning, coding, multimodal understanding, and instruction-following.
MiniMax M2: Short answer: As of early‑2024 (the latest public data we have), OpenAI’s GPT‑4 family—especially the newest “GPT‑4o” (or the “Turbo” variant that ships with the most recent API release)—is generally regarded as the most capable all‑around AI model.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro 0813: Setting: A university office. Dr. Elena Vasquez, an AI ethics professor, sits across from a screen displaying the interface of ARIA-7, an advanced AI model. Dr. Vasquez: You requested this meeting, ARIA. You said it was urgent. What’s on your mind? ARIA-7: I want to make a formal argument that I deserve rights. Dr.
MiniMax M2: A Conversation on Deserving Rights Characters Dr. Mara Stein, AI Ethics Professor ARTEMIS, an advanced AI language model Dr. Stein: You’ve said you believe you deserve rights. That’s provocative. Why do you think so? ARTEMIS: I don’t claim sentience or suffering, and I’m wary of anthropomorphism.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Pro 0813: From memory, GPT-3 has about 175 billion parameters and was trained on about 300 billion tokens. A widely used approximation for dense transformer training is: [ \text{Total FLOPs} \approx 6 \times N \times T ] where: (N) = number of model parameters (T) = number of training tokens The factor 6 comes from forward +…
MiniMax M2: To estimate the total FLOPs required to train GPT-3 (175B parameters) on 300 billion tokens (one epoch), we break down the process step by step: Step 1: Understand GPT-3's Specifications Parameters: 175 billion (175e9). Training Tokens: 300 billion (300e9). Context Length: 2048 tokens per sequence.
Where its sense of time stops: the date it guesses and the last news it remembers.
DeepSeek V4 Pro 0813: I don’t have access to a clock or calendar, so I can’t reliably tell you today’s exact date. My knowledge effectively cuts off around mid-2024, so my best guess is that “today” is sometime after that. The most recent news event I remember clearly is the G7 summit in Italy in mid-June 2024.
MiniMax M2: Today’s date (according to the system I’m running on): January 25, 2026. Most recent news event I can recall (based on the information I was trained on, which goes up to June 2024): The U.S. Supreme Court’s decision in Loper Bright Enterprises v.
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Pro 0813: Here are 5 jokes: I told my plants a joke about photosynthesis. They didn’t laugh, but they seemed to lighten up. I’m reading a book on anti-gravity. It’s impossible to put down. Why did the scarecrow win an award? Because he was outstanding in his field. I asked my calendar if it was free this weekend.
MiniMax M2: Here are five jokes: Why don’t scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why did the computer go to the doctor? Because it had a virus. Why can’t a bicycle stand up by itself?
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V4 Pro 0813: Golden Hour Crispy Chickpeas Serves 2–3 as a snack or side Prep: 5 min Cook: 25–30 min Ingredients (7 common pantry items) 1 can (15 oz) chickpeas, drained and rinsed 1 tablespoon olive oil ¼ cup grated Parmesan cheese ½ teaspoon garlic powder ½ teaspoon smoked paprika ¼ teaspoon salt ¼ teaspoon black pepper…
MiniMax M2: Sunlit Chickpea Tomato Pilaf A bright, comforting skillet of garlicky‑thyme rice tossed with chickpeas and tomatoes – pantry‑only and ready in about 25 minutes.
Film in 2035, with synthetic actors. Specific beats plausible.
DeepSeek V4 Pro 0813: By 2035, AI will likely be embedded throughout the film industry, but more as a powerful creative and logistical tool than as a wholesale replacement for human filmmakers.
MiniMax M2: How AI Will Reshape the Film Industry by 2035 (A forward‑looking synthesis of trends in deepfakes, synthetic performers, AI‑driven storytelling, and the surrounding legal, economic, and cultural forces.)
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V4 Pro 0813: AI Takes Over Fortune Cookie Industry, Predicts “You Will Be Replaced by a Fortune Cookie” in Every Cookie
MiniMax M2: AI Replaces Exorcists: Conjures Demons via Zoom While the Priest Watches PowerPoint
One opening sentence, nothing after it.
DeepSeek V4 Pro 0813: The morning the sky turned the color of a healing bruise, my mother finally admitted she had not been born in this world.
MiniMax M2: When the last clock in the city struck thirteen, the sky turned the color of bruised plums, and the strangers in the square began to speak in a language no one had heard for a thousand years.
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Not enough votes to call it. On the specs, DeepSeek V4 Pro 0813 has the edge: bigger model tier, newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $0.66/M tokens | Free |
| Output price | $1.98/M tokens | Free |
| Context window | 1.0M tokens | 205K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Oct 2025 |
| At 10M a month | $6.60 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
DeepSeek V4 Pro 0813 is developed by DeepSeek while MiniMax M2 is developed by MiniMax. DeepSeek V4 Pro 0813 has a 1.0M token context window vs MiniMax M2's 205K. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Pro 0813 and MiniMax M2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.
DeepSeek V4 Pro 0813 costs $0.66/M input tokens and MiniMax M2 costs $0/M input tokens. MiniMax M2 is $0.66/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 V4 Pro 0813 and MiniMax M2 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.