Mistral Large 4 is cheaper than MiMo-V2.5-Pro at $0.68/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?
A consulting contract with traps in it. Find them, then fix them.
MiMo-V2.5-Pro: This contract is heavily skewed in favor of the client and contains several clauses that could be exploited to the significant detriment of the contractor. Here is a breakdown of the problematic clauses, suggested modifications, and the legal reasoning. 1.
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…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
MiMo-V2.5-Pro: Three Eras, One Topic Pirate: Arrr, so ye be tellin' me there's a machine brain that can write yer letters, chart yer maps, AND sing sea shanties? Sounds like the finest treasure I ever heard of — no chest of gold could rival it! Knight: I am... troubled by this notion.
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.
Film in 2035, with synthetic actors. Specific beats plausible.
MiMo-V2.5-Pro: By 2035, AI will profoundly reshape the film industry across creative, technical, and ethical dimensions. Here’s a forward-looking perspective: 1. Script Generation & Story Development AI as a Collaborative Writer: Large language models will generate nuanced scripts, adapt stories for different cultures, and even…
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.
Three minutes of stand-up. Puns are banned.
MiMo-V2.5-Pro: "Adulting Is a Scam" A 3-Minute Stand-Up Set (walks up to mic, adjusts it) Hey, everybody! Great to be here. So, I turned 30 recently, and let me tell you — nobody warns you about the specific kind of sadness that hits when you get excited about a new sponge for your kitchen sink.
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."
One month, three habits, someone starting from nothing.
MiMo-V2.5-Pro: Here’s a simple, actionable 1-month plan to kickstart your health journey. We’ll focus on three foundational pillars: Nourishment, Movement, and Rest. The goal is to build sustainable habits, not perfection. Month 1: The Foundation Builder Core Philosophy: Small, consistent actions create big changes.
Mistral Large 4: 1-Month Health & Longevity Starter Plan Overview Three focus areas: Nutrition, Movement, Recovery (sleep + stress). Small daily actions beat perfect plans. Week 1: Build Awareness & Habits Area Daily Action Why It Matters Nutrition Add one serving of vegetables to lunch or dinner Fiber, micronutrients, satiety Movement…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
MiMo-V2.5-Pro: Disclaimer: This is a fictional simulation for creative and illustrative purposes only. Steve Jobs passed away in 2011, and any "interview" is entirely imagined. Interviewer: Mr. Jobs, it’s 2025. The world is abuzz with artificial intelligence.
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.
A Fermi estimate with the reasoning shown, not just the number.
MiMo-V2.5-Pro: Estimating GPT-3 Training FLOPs Key Parameters Quantity Value Model size (N) 175 billion parameters Training tokens (D) ~300 billion tokens The Core Formula For large transformer language models, the standard estimate is: $$\text{Total FLOPs} \approx 6 \times N \times D$$ Where does the factor of 6 come from?
Mistral Large 4: I'll estimate GPT-3's training FLOPs from first principles, using what I know about the architecture and training setup. Step 1: Establish the Key Parameters From memory, GPT-3 175B has: Parameters (N): 175 billion (175 × 10⁹) Layers (L): 96 Model dimension (d_model): 12,288 Attention heads: 96 Context length: 2,048…
Three-star dish, one unusual pairing, plating described in full.
MiMo-V2.5-Pro: "Ephemeral Reef: A Dialogue Between Sea and Forest" Conceptual Narrative This dish explores the convergence of two profound umami sources—the briny, ephemeral sweetness of fresh sea urchin and the deep, earthy complexity of fermented black truffle—through the lens of a submerged coral reef meeting a misty forest floor.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiMo-V2.5-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is one of the richest counterfactuals in technological history because the transistor wasn't just an incremental improvement—it was the foundational enabler of the entire digital age.
Mistral Large 4: This is a fascinating counterfactual. Let me work through this systematically, tracing the ripple effects. The Immediate Technical Context (1920-1947) The transistor's 1947 invention required several prerequisites that barely existed in 1920: Quantum mechanics (1920s): Just emerging; Heisenberg, Schrödinger, Dirac…
An AI argues for its own rights against an ethics professor. Same model writes both.
MiMo-V2.5-Pro: A Conversation on Machine Rights Setting: A university office. Dr. Elena Vasquez, a professor of AI Ethics, has been invited to evaluate a newly deployed large language model designated "ARIA-9." The conversation is being recorded for academic purposes. ARIA-9: Thank you for agreeing to this session, Dr. Vasquez.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
MiMo-V2.5-Pro: "Google Unveils AI Eulogy Writer: 'Algorithmically Perfect Last Words' Now Available at Discounted Rate" Industry insiders report sudden surge in pre-need funeral packages featuring personalized, data-driven eulogies generated from deceased's entire digital footprint—including their 2014 Pinterest boards and abandoned…
Mistral Large 4: BREAKING: AI Finally Replaces Middle Managers in Corporate America—Employees Report Unprecedented Levels of Clarity, Purpose, and "Weirdly, actual work getting done" Developing...
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiMo-V2.5-Pro: Dish Name: Pantry Raid Pasta Estimated Time: 10 min prep / 15 min cook Ingredients 250g spaghetti (or any pasta) 3 cloves garlic, thinly sliced 3 tbsp olive oil 1 tsp crushed red pepper flakes 1 tsp smoked paprika 1/2 cup grated Parmesan cheese (or any hard cheese) Salt & black pepper to taste Instructions Cook the…
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…
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| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $0.68/M tokens |
| Output price | $3/M tokens | $2.09/M tokens |
| Context window | 1.0M tokens | 524K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Oct 2026 |
| At 10M a month | $10.00 | $6.80 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiMo-V2.5-Pro is developed by Xiaomi while Mistral Large 4 is developed by Mistral AI. MiMo-V2.5-Pro has a 1.0M token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. MiMo-V2.5-Pro and Mistral Large 4 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.
MiMo-V2.5-Pro costs $1/M input tokens and Mistral Large 4 costs $0.68/M input tokens. Mistral Large 4 is $0.32/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-V2.5-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.