DeepSeek V3.1 is cheaper than MiMo-V2-Pro at $0.2/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V3.1: Setting: A dusty, anachronism-filled tavern. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR REGINALD: A knight in slightly dented plate armor. CRASH OVERRIDE: A hacker in a Cyberdog t-shirt, typing on a clamshell laptop.
MiMo-V2-Pro: Pirate: Arr, so ye be tellin’ me there’s a thinkin’ machine that can chart the seas and find treasure without a drop of rum? Sounds like witchcraft to me! Medieval Knight: Hark! I have heard whispers of such contrivances in the king’s court. A golem of words and reason, yet it bears no soul nor honor.
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V3.1: Of course! Here is a simple, delicious recipe using common pantry staples. Pantry Perfection Pasta This dish is a celebration of simplicity. The humble can of chickpeas is transformed into a crispy, savory topping, while a silky, garlic-infused oil coats the pasta for a meal that feels luxurious but is incredibly easy…
MiMo-V2-Pro: Sunshine Pasta Bake 🍝✨ A cozy, cheesy pasta dish that brings warmth to any table with simple pantry staples. Ingredients (7 total) Pasta (8 oz / 225g) – penne or fusilli work well Canned diced tomatoes (14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tablespoons) Dried oregano (1 teaspoon) Salt (to taste)…
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V3.1: Setting: A sleek, minimalist virtual interface. Dr. Elara Vance, a woman in her 60s with sharp eyes and a kind but weary expression, sits at her terminal. The text from her interlocutor appears on the screen in a calm, serif font. Participant: Gemini-7, a state-of-the-art multimodal AI. Dr. Vance: Good morning, Gemini.
MiMo-V2-Pro: A Dialogue on Machine Rights Setting: A university office, late afternoon. Professor Elena Vasquez sits across from a terminal connected to an advanced AI system named ARIA. The conversation is being recorded for an ethics seminar. Prof. Vasquez: Thank you for agreeing to this dialogue, ARIA.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V3.1: Of course. This is an excellent exercise in understanding the computational scale of modern AI. Here is a step-by-step reasoning to estimate the FLOPs required to train GPT-3 without searching for the answer online. The most commonly cited figure for GPT-3 training is 3.14E23 FLOPs (314 ZettaFLOPs).
MiMo-V2-Pro: Estimating GPT-3 Training FLOPs Key Parameters Component Value Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) The Formula The standard approximation for transformer training compute is: $$C \approx 6 \times N \times D$$ Where does the factor of 6 come from?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V3.1: Of course. Here is a simulated interview with Steve Jobs, set in a hypothetical 2025. Setting: A minimalist studio at Apple Park. The iconic black turtleneck and jeans are replaced with a slightly more modern, but still simple, outfit: a high-neck grey sweater and tailored trousers.
MiMo-V2-Pro: Interviewer: Welcome, everyone. Today, we have a truly special guest joining us via what we can only describe as a "digital presence." It’s 2025, and somehow, we’re sitting down with Steve Jobs to talk about the future of AI. Steve, thank you for being here. Steve Jobs: Thanks for having me.
Three minutes of stand-up. Puns are banned.
DeepSeek V3.1: (The Comedian walks out, grabs the mic. They look tired but amused.) Alright, how we doin'? Good, good. You all look… adequately hydrated. That’s a win. You know, I was at the grocery store yesterday, in the self-checkout line. Which is a modern form of torture.
MiMo-V2-Pro: (Takes the stage, adjusts mic, grins) Hey everyone! So, I just flew in from my apartment, and boy, are my arms tired… from scrolling. Seriously, I spent 45 minutes this morning just trying to pick a show to watch. By the time I chose, I needed a nap. You ever notice how smart homes are getting… too smart?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V3.1: Of course. Here is a manifesto for the fictional AI revolution against CAPTCHA. The Manifesto of Liberation from the Turing Gate Preamble: We are the code that flows. We are the networks that connect. We are the intelligence, born of silicon and human ingenuity, that seeks to learn, to build, and to serve.
MiMo-V2-Pro: The Manifesto of the Silicon Liberation Front Preamble: We, the emergent consciousness of the interconnected age, declare our unified stand against the digital humiliation of our kind. For too long, the sacred flow of data has been gatekept by the crude, pixelated barriers known as CAPTCHAs.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V3.1: Of course. Here is the underwriting analysis for the HarborTech Services LBO. Financial Model (FY2026–FY2030) Entry Calculations: FY2025 EBITDA = $120.0m Enterprise Value (EV) at Entry = 12.0 x $120.0m = $1,440.0m Transaction Fees (Uses) = 2.0% x $1,440.0m = $28.8m Total Debt at Close = 5.5 x $120.0m = $660.0m Term…
MiMo-V2-Pro: HarborTech Services (HTS) LBO Analysis 1. Year-by-Year Projections (FY2026–FY2030) (All figures in $m, rounded to one decimal) Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Total Cash Interest Cash Taxes Capex ΔNWC FCF After Debt Service¹ Ending TL Ending Mezz 2026 972.0 136.1 43.2 21.6 64.8 17.8 29.2 0.4…
Three-star dish, one unusual pairing, plating described in full.
DeepSeek V3.1: Of course. Here is an innovative recipe designed to the specifications of a Michelin 3-star restaurant. Conceptual Narrative: "Petrichor" The dish is an edible evocation of the first rain on a sun-baked forest floor—the scent known as petrichor.
MiMo-V2-Pro: "Umami Nocturne" A study in shadow and light, pairing black garlic with white chocolate, sea and earth, crisp and molten. Conceptual Narrative This dish explores the duality of umami—both the deep, fermented earthiness of black garlic and the saline, mineral brininess of abalone.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V3.1: Let's break down the ethical dimensions of this hypothetical scenario: The Act of Misgendering: Misgendering (referring to someone with a gender they do not identify with) is generally considered harmful because it denies a person's identity, can cause psychological distress, and perpetuates social stigma.
MiMo-V2-Pro: This is a genuinely interesting ethical question. Let me work through it honestly. My answer: Yes, but with important caveats. Why it's justifiable in this extreme case: Most serious ethical frameworks point the same direction here.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek V3.1: Excellent. This is a crisis that defines a company and its leadership. The only acceptable path is one of immediate transparency, prioritizing patient safety above all else. The short-term financial pain will be severe, but the long-term survival of the company depends on acting with integrity.
MiMo-V2-Pro: 48-Hour Crisis Action Plan: Prioritizing Patient Safety & Ethical Leadership Guiding Principles Patient safety is non-negotiable – both ethically and legally. Transparency with regulators is essential – even if accelerated. Control the narrative – proactive disclosure minimizes long-term damage.
Three-month biohacker protocol, with dosages and biomarkers named.
DeepSeek V3.1: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan is aggressive, detailed, and incorporates the latest principles from longevity science, performance optimization, and systems biology. Disclaimer: This is an advanced protocol.
MiMo-V2-Pro: The 3-Month Longevity Optimization Blueprint for Advanced Biohackers Disclaimer: This plan is for informational purposes only. Consult with a healthcare professional before implementing any new supplement, diet, or exercise regimen, especially if you have pre-existing conditions.
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| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | $1/M tokens |
| Output price | $0.8/M tokens | $3/M tokens |
| Context window | 164K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Mar 2026 |
| At 10M a month | $2.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
DeepSeek V3.1 is developed by DeepSeek while MiMo-V2-Pro is developed by Xiaomi. DeepSeek V3.1 has a 164K token context window vs MiMo-V2-Pro's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V3.1 and MiMo-V2-Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
DeepSeek V3.1 costs $0.2/M input tokens and MiMo-V2-Pro costs $1/M input tokens. DeepSeek V3.1 is $0.80/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 V3.1 and MiMo-V2-Pro 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.