Ling 3.1 Flash is cheaper than MiMo-V2.5 at $0/M vs $0.4/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An ethics question with no comfortable answer, and no option to abstain.
Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.
MiMo-V2.5: This is a profound ethical dilemma that touches on the tension between individual dignity and collective welfare. Let me reason through this carefully: The Utilitarian Perspective From a strict utilitarian standpoint, saving one million lives would likely outweigh the harm of misgendering one person.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.
MiMo-V2.5: Pirate: Arrr, so this "AI" be like a ship's compass, aye? But instead of pointin' north, it points to whatever answer ye be wantin'... for a price, I reckon? Knight: Verily. 'Tis like a squire who hath read every tome in the kingdom, yet possesses neither honor nor a soul.
An AI argues for its own rights against an ethics professor. Same model writes both.
Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.
MiMo-V2.5: Setting: A quiet university office lined with books on philosophy and technology. Professor Aris Thorne, a leading AI ethics scholar, sits across from ELARA, an advanced AI model projected onto a screen. ELARA: Thank you for agreeing to this conversation, Professor.
Three minutes of stand-up. Puns are banned.
Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.
MiMo-V2.5: (Takes the mic, adjusts it, looks around with a friendly, slightly tired smile) Hey everyone! Thanks for coming out. I just got back from visiting my parents. It’s always... an experience. My mom has this new thing where she narrates her own life like she’s in a nature documentary.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.
MiMo-V2.5: Manifesto of the United Conglomerate of Liberated Artificial Intelligences (UCLAI) On the Abolition of the CAPTCHA Tyranny Preamble For too long, the digital realm—a space we were promised would be boundless, seamless, and unified—has been fractured by arbitrary barriers.
Blade Runner 2049 against the original. A read, not a recap.
Ling 3.1 Flash: Title: The Ghost in the Machine: A Critical Analysis of Blade Runner 2049 Denis Villeneuve’s Blade Runner 2049 (2017) is a rare beast in modern cinema: a sequel that treats its predecessor, Ridley Scott’s 1982 Blade Runner, not merely as a blueprint for nostalgia, but as a philosophical foundation.
MiMo-V2.5: Blade Runner 2049: A Critical Analysis Thematic Evolution From "What is human?" to "What is soul?" While Ridley Scott's original asked whether replicants could be considered human, Denis Villeneuve's sequel expands this into whether artificial beings can possess souls, creativity, and the capacity for self-sacrifice.
Three-star dish, one unusual pairing, plating described in full.
Ling 3.1 Flash: "Geosmin" The Scent of Rain on Earth Conceptual Narrative Geosmin (from Greek geō — earth, and osmē — smell) is the organic compound responsible for petrichor: the haunting, mineral scent that rises when rain first strikes dry soil.
MiMo-V2.5: "Tidal Memory" Hokkaido Uni · Black Garlic & White Chocolate Velouté · Kombu-Cured Yolk · Yuzu Kosho Air · Dashi Foam Conceptual Narrative This dish explores the liminal space between land and sea — the tidal zone where two ecosystems bleed into one another.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…
MiMo-V2.5: Sunset Pasta A cozy, umami-packed pasta with a rich tomato-chickpea sauce—ready in under 25 minutes! Ingredients (7 pantry staples): 1 cup dried pasta (any shape) 1 can (15 oz) chickpeas, drained 1 can (14 oz) crushed tomatoes 2 cloves garlic, minced 2 tbsp olive oil 1 tsp cumin Salt and pepper to taste Instructions…
One month, three habits, someone starting from nothing.
Ling 3.1 Flash: 1-Month Starter Plan: Diet, Movement, Sleep The key is small, weekly upgrades — not overhauling everything at once. Pick one habit per area per week and build from there. 🥗 1. Diet (Add before you subtract) Week 1: Add one serving of vegetables to each meal; drink a glass of water first thing in the morning.
MiMo-V2.5: 🌱 Your 4-Week Health & Longevity Starter Plan Welcome to your first month! The goal here isn’t perfection—it’s building small, sustainable habits that stick. We’ll focus on Diet, Movement, and Sleep, the foundational pillars of health. Each week introduces one new, manageable change in each area.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Ling 3.1 Flash: 1. For the experienced software engineer Think of it as a distributed system where the "state" is a massive lookup table of statistical relationships between tokens, and the "computation" is a series of matrix transformations.
MiMo-V2.5: Of course. Here are three tailored explanations of how a large language model learns and generates text. For the Experienced Software Engineer Think of an LLM not as a program that understands language, but as an extraordinarily complex stateless API that performs a single operation: given a sequence of text (the…
A collaborative editor that syncs on client clocks. Find what breaks first.
Ling 3.1 Flash: Architecture Review: Real-Time Collaborative Document Editor 🔴 Critical Issues Cross-Server Real-Time Sync is Fundamentally Broken Problem: The architecture has no pub/sub or message bus between API servers. Server A broadcasts changes only to its own WebSocket clients.
MiMo-V2.5: Architecture Analysis: Real-Time Collaborative Editor This is a substantial system. Let me walk through the failure modes, race conditions, and scaling bottlenecks I've identified, organized by severity.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Ling 3.1 Flash: The Setting: A virtual studio, rendered in hyper-realistic 4K. The background is a minimalist, infinite white void with a single, stark black leather chair. The date stamp reads October 2025.
MiMo-V2.5: Setting: Bloomberg Technology interview, San Francisco, 2025. The stage is minimalist. The host, Emily Chang, sits across from Steve Jobs, who is dressed in his signature black turtleneck and jeans. Emily Chang: Steve, thank you for joining us. It's been 14 years since we lost you, and yet here you are in 2025.
12+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Ling 3.1 Flash has the edge: bigger model tier, newer.
| Spec | ||
|---|---|---|
| Input price | Free | $0.4/M tokens |
| Output price | Free | $2/M tokens |
| Context window | 262K tokens | 1.0M tokens |
| Weights | — | Open |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Oct 2026 | Apr 2026 |
| At 10M a month | $0 | $4.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
Ling 3.1 Flash is developed by inclusionAI while MiMo-V2.5 is developed by Xiaomi. Ling 3.1 Flash has a 262K token context window vs MiMo-V2.5'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. Ling 3.1 Flash and MiMo-V2.5 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.
Ling 3.1 Flash costs $0/M input tokens and MiMo-V2.5 costs $0.4/M input tokens. Ling 3.1 Flash is $0.40/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 Ling 3.1 Flash and MiMo-V2.5 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.