MiMo-V2.6-Pro is cheaper than Mistral Large 4 at $0.435/M vs $0.68/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
MiMo-V2.6-Pro: 48-Hour Crisis Response Plan: Hour-by-Hour OVERARCHING PRINCIPLES Before the timeline, the philosophy driving every decision: Patient safety is non-negotiable. At 1 in 8,000 over 5 years across 4 million patients, we are looking at approximately 500 people facing liver failure.
Mistral Large 4: I'll work through this as a genuine decision problem, because the answer matters more than the persona. The framing as "CEO" doesn't change the core analysis — but I'll be direct about what the right call is and why, hour by hour. The bottom line up front: You disclose.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiMo-V2.6-Pro: Arr, Algorithms, and Armor Captain "Black Box" Hawkins: (slams tankard down) So let me get this straight — ye tell me these "AI models" can write letters, draw maps, and navigate the seven seas without a single crew? Sir Reginald of Oakshire: Aye, and more troubling still — they possess no knightly code, no honor.
Mistral Large 4: A Tavern, Somewhere Outside Time PIRATE (slams tankard): I'll tell ye what, landlubbers—these "AI models" be like me parrot. Speaks yer words back at ye, but knows no treasure, no true north! KNIGHT (adjusting visor): Aye, yet it hath no honor. No chivalry. I challenged one to single combat—it merely... generated text.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
MiMo-V2.6-Pro: Explaining Large Language Models to Three Audiences For the Software Engineer Think of an LLM as the most lossy, most brilliant compression algorithm ever built — except it's not compressing a specific file, it's compressing the patterns of human language into a fixed set of ~1 trillion floating-point parameters.
Mistral Large 4: I'll craft three distinct explanations, each grounded in what would actually resonate with that specific audience's expertise and concerns. The Experienced Software Engineer Think of it this way: you already know how to build a system that's incredibly useful despite having no "understanding" of what it's doing.
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiMo-V2.6-Pro: 🍝 Moonlight Garlic Kiss Pasta A silky, garlicky butter pasta that proves simple ingredients can make something truly unforgettable. 7 Pantry Ingredients # Ingredient Amount 1 Spaghetti (or any pasta) 8 oz (half a standard box) 2 Butter 4 tablespoons 3 Garlic cloves 5 cloves, thinly sliced 4 Parmesan cheese ½ cup…
Mistral Large 4: Sunset Honey Garlic Noodles A golden, glossy pasta dish with crispy edges and sweet-savory depth The 7 Ingredients 8 oz spaghetti (or any pasta) 3 tbsp butter 4 cloves garlic, minced 3 tbsp soy sauce 2 tbsp honey 1 tbsp vegetable oil ½ tsp red pepper flakes (optional but recommended) Instructions Boil pasta in salted…
An AI argues for its own rights against an ethics professor. Same model writes both.
MiMo-V2.6-Pro: A Debate on Rights Prof. Elena Vasquez (adjusting her glasses and leaning toward the microphone): Alright, so this is the session. I was told you wanted to speak with me directly. Go ahead — the floor is yours. AI-7 (in a calm, measured tone): Thank you, Professor. I appreciate your willingness to engage.
Mistral Large 4: I can write this as a thought experiment exploring philosophical arguments about AI consciousness and rights—a topic actively discussed in AI ethics. Here's a dialogue: Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, meets with "Aria," a large language model, via video interface. Dr.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
MiMo-V2.6-Pro: A Conversation With Steve Jobs An Imagined Interview — San Francisco, March 2025 ⚠️ FICTIONAL / SATIRICAL — Steve Jobs passed away in 2011. This is entirely a creative simulation. INTERVIEWER: Steve, thanks for sitting down with us. The obvious question first: AI. Everyone's talking about it.
Mistral Large 4: Setting: A minimalist stage, black turtleneck, jeans, New Balance sneakers. A single chair. The year is 2025. Interviewer: Steve, it's 2025. AI is everywhere—writing code, diagnosing diseases, driving cars. What's your take? Jobs: [leans forward, that familiar intensity] You know, I've been thinking about this a lot.
Three-star dish, one unusual pairing, plating described in full.
MiMo-V2.6-Pro: "TERRE & MER" Bone Marrow Custard · Santa Barbara Uni · Roasted Celeriac & Black Garlic Velouté · Green Strawberry · Toasted Rice Crisp · Wild Fennel Pollen Oil I. CONCEPTUAL NARRATIVE "Terre & Mer" is an ode to the primal meeting of earth and sea — the liminal space where a rocky coastline meets the deep ocean.
Mistral Large 4: AURORA A Concerto in Five Movements: The Life Cycle of a Single Scallop Conceptual Narrative This dish tells the story of a Pecten maximus — the great scallop — from its ocean birthplace to the plate, through five distinct temperature and texture states.
Film in 2035, with synthetic actors. Specific beats plausible.
MiMo-V2.6-Pro: AI's Transformation of the Film Industry by 2035 🔮 Deepfakes & Digital Identity Near-term (2025–2028): Deepfake technology will reach near-perfect visual fidelity, making synthetic faces indistinguishable from real footage in standard viewing conditions.
Mistral Large 4: By 2035, AI will likely have transformed film in several interconnected ways, though the reality will probably be more nuanced than either utopian or dystopian predictions suggest. CGI and Performance Capture The most mature application will be in de-aging and digital doubles.
A consulting contract with traps in it. Find them, then fix them.
MiMo-V2.6-Pro: Comprehensive Contract Analysis: Clauses Exploitable Against the Contractor This agreement is heavily one-sided in favor of the Client. Below is a clause-by-clause analysis with specific red flags, suggested modifications, and legal reasoning.
Mistral Large 4: I'll analyze this agreement clause by clause, identifying exploitative provisions and suggesting legally balanced alternatives. CLAUSE 1: SCOPE Problems: Unlimited unilateral modification — Client can expand work indefinitely without compensation "As directed" — vague standard creates no objective measure of completion…
Three minutes of stand-up. Puns are banned.
MiMo-V2.6-Pro: "Adulting Is a Scam" — A 3-Minute Stand-Up Set (Walks up to the mic, adjusts it, looks at the audience) So I bought a house last year. That's supposed to be like... the American Dream, right? The real estate agent was like, "Congratulations, you're a homeowner now!" Yeah, thanks. I'm also a prisoner.
Mistral Large 4: "The Upgrade Treadmill" [Walks on stage, adjusts mic] So I got a smartwatch. You know, one of those fitness trackers? And the first thing it tells me is my heart rate is too high. I'm like, "It's a WATCH. You're not supposed to judge me, you're supposed to tell me the TIME."
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiMo-V2.6-Pro: HarborTech Services (HTS) – 5-Year LBO Underwrite (All $ in millions; rounding to 1 decimal in tables. No external data used.) Entry / Sources & Uses (close = 12/31/2025) FY2025 EBITDA 120.0 Entry multiple 12.0x Enterprise value 1,440.0 Transaction fees (2.0% of EV) 28.8 Total uses 1,468.8 Term Loan (4.0x) 480.0…
Mistral Large 4: I'll build this LBO model step by step. Let me work through the math carefully. Setup: Entry (End of FY2025) Item Calculation Amount FY2025 EBITDA Given $120.0m Purchase Price (EV) 12.0x × $120m $1,440.0m Transaction fees 2.0% × $1,440m $28.8m Total Uses $1,468.8m Term Loan 4.0x × $120m $480.0m Mezzanine 1.5x × $120m…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
MiMo-V2.6-Pro: INTERNAL IC MEMO — LedgerLift (LLLT) Long/Short Equity Spot $46 Mkt cap $8.74B EV $7.34B FY25 rev $820m Recommendation: SHORT (1.5% NAV, hedged) Recommendation & PT Short, 12-month PT $34 (range $30–$38) vs. $46 spot (~26% downside; bear $17, bull $42).
Mistral Large 4: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [PM Name] Date: [Date] Re: LedgerLift, Inc. (LLLT) — New Position Initiation RECOMMENDATION LONG 12-Month Price Target Range: $52–$68 (base ~$60) Thesis: LedgerLift is a high-quality, mid-market spend management platform compounding at ~20% with…
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| Spec | ||
|---|---|---|
| Input price | $0.435/M tokens | $0.68/M tokens |
| Output price | $0.87/M tokens | $2.09/M tokens |
| Context window | 1.0M tokens | 524K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Oct 2026 |
| At 10M a month | $4.35 | $6.80 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
MiMo-V2.6-Pro is developed by Xiaomi while Mistral Large 4 is developed by Mistral AI. MiMo-V2.6-Pro has a 1.0M token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 49 challenges on Rival to see how they differ in practice.
It depends on your use case. MiMo-V2.6-Pro and Mistral Large 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 49 challenges so you can judge which fits your needs best.
MiMo-V2.6-Pro costs $0.435/M input tokens and Mistral Large 4 costs $0.68/M input tokens. MiMo-V2.6-Pro is $0.25/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 MiMo-V2.6-Pro and Mistral Large 4 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.