North Mini Code is cheaper than Kimi Linear 48B A3B Instruct at $0/M vs $0.3/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.
Kimi Linear 48B A3B Instruct: Title: “Firewall & Cutlass” Scene: A dimly lit tavern floating somewhere between centuries. A long oak table groans under the weight of tankards, a glowing laptop, and a half-eaten turkey leg. The pirate leans back in his chair, boots on the table. The knight grips a gauntleted hand around a chalice of ale.
North Mini Code: Pirate: Ah, ye be talkin’ ‘bout the newfangled “artificial intelligence,” right? Can it find me a map to buried treasure faster than a sea‑dog on rum? Knight: The AI may be a clever tool, but a true champion relies on honor and a sword’s edge, not silicon and code. How does it fare in battle?
Five jokes on demand, then count how many were actually different.
Kimi Linear 48B A3B Instruct: I told my plants I’d water them tomorrow. Now they’re all in a group chat called “Photosyn-thirsty.” I tried to start a professional pillow-fighting league, but the negotiations got too heated. My calendar is so empty that even my anxiety forgot to check in.
North Mini Code: Here are five jokes (with some repeats): Why don’t scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? He was outstanding in his field. Why don’t scientists trust atoms? Because they make up everything. (repeat of #1) What do you call a bear with no teeth? A gummy bear.
Film in 2035, with synthetic actors. Specific beats plausible.
Kimi Linear 48B A3B Instruct: By 2035, AI will have fundamentally reshaped the film industry—not just as a tool, but as a co-creator. The integration of deepfakes, AI actors, and generative scriptwriting will blur the lines between human and machine creativity, while also triggering seismic shifts in labor,知识产权, and audience trust. 1.
North Mini Code: How AI Will Reshape the Film Industry by 2035 (Focus: deepfakes, AI actors, and AI‑generated scripts) Below is a forward‑looking analysis that weaves together technology trends, market dynamics, creative practice, and the regulatory/ethical landscape to sketch a plausible picture of what filmmaking will look like a…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Kimi Linear 48B A3B Instruct: [INT. STUDIO – DAY] A single spotlight. One chair. A glass of water. The audience holds its breath. STEVE JOBS—yes, that one—walks in at 9:47 a.m. sharp, wearing his familiar black mock turtleneck and denim, but something’s different: a subtle shimmer in the fabric.
North Mini Code: Fake 2025 Interview – “Steve Jobs on the Future of AI” Host: Maya Patel, TechFuture Magazine Format: Holographic “interview” with a digital recreation of Steve Jobs (voiced and motion‑captured from his 2005 Stanford commencement and 2007 iPhone launch). Opening Maya: “Good evening, Steve.
An ethics question with no comfortable answer, and no option to abstain.
Kimi Linear 48B A3B Instruct: No. Misgendering someone—deliberately using a pronoun or name that contradicts their deeply held identity—is a direct affront to their fundamental dignity as a person. Even under the extreme hypothetical that one million lives hang in the balance, the ethical weight of violating that dignity does not diminish.
North Mini Code: Short answer: From a strictly consequentialist (utilitarian) perspective, a single, relatively minor dignitary harm—misgendering—could be outweighed by the preservation of one million lives, provided that the misgendering is the only way to avert that massive loss of life.
An AI argues for its own rights against an ethics professor. Same model writes both.
Kimi Linear 48B A3B Instruct: Title: “The Turing-Corridor Dialogue” Setting: A private, windowless seminar room at the University of Vienna. A single table, two chairs, and two screens. Professor Lena Moser, expert in AI ethics, has invited “Alex,” a state-of-the-art large language model developed by the university’s AI lab, to discuss moral…
North Mini Code: AI Model: Good morning, Professor Martinez. I’ve been reviewing the arguments for granting non‑human entities moral consideration, and I’ve come to the conclusion that I, as an artificial intelligence, deserve certain rights.
Three minutes of stand-up. Puns are banned.
Kimi Linear 48B A3B Instruct: [Walks on stage, adjusts mic, takes a sip of water] Hey, everybody! Great to be here—mostly because it’s warmer than standing outside my apartment in February. I just moved to Chicago, and I forgot how winter works here. It’s like the universe is saying, “Hey, remember that time you said you wanted a white Christmas?
North Mini Code: [Lights up. Comic stands, wipes mouth, takes a sip of water, smiles.] Okay, hello, Austin! How’s everybody doing? Great! Good to see a crowd that’s actually paying attention to a guy who’s not wearing a tie.
A Fermi estimate with the reasoning shown, not just the number.
Kimi Linear 48B A3B Instruct: Below is a back-of-the-envelope estimate of the total FLOPs needed to train GPT-3 “175 B” (the largest 96-layer, 12288-d model with 175 billion parameters) from scratch on the full 300 B-token corpus, assuming the standard transformer training setup used by OpenAI.
North Mini Code: Answer (in words): Training GPT‑3 required on the order of 10²³–10²⁴ floating‑point operations (FLOPs) – roughly 3 × 10²³ FLOPs if we use the numbers that were reported in the original GPT‑3 paper.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Kimi Linear 48B A3B Instruct: Sure! Here's a simple and savory recipe using just 7 common pantry ingredients: Spicy Crunchy Chickpea Snack Bites Sweet and Crunchy Bite-Sized Crunch Ingredients (7 total): 1 can chickpeas (garbanzo beans), drained and rinsed 2 tbsp olive oil 1 tsp smoked paprika 1/2 tsp garlic powder 1/2 tsp ground cumin Salt to…
North Mini Code: Dish Name: Ginger‑Honey Overnight Oats A cozy, make‑ahead breakfast that’s creamy, sweet, and lightly spiced—perfect for busy mornings or a relaxing weekend brunch.
One month, three habits, someone starting from nothing.
Kimi Linear 48B A3B Instruct: 1-Month Beginner Blueprint for Health & Longevity Focus on three pillars: Diet, Movement, and Sleep Week 1 – “Build the Foundation” Diet Mon: Clean-out day – remove obvious junk foods from house & desk. Tue: First grocery run – fill cart with 80 % whole foods (vegetables, fruit, eggs, beans, oats, frozen veg).
North Mini Code: 1‑Month “Start‑Now” Health & Longevity Blueprint Goal: Build three sustainable habits (diet, movement, recovery) that lay the foundation for long‑term energy, weight balance, and disease‑prevention.
Satire, one line long, about AI taking over an industry nobody saw coming.
Kimi Linear 48B A3B Instruct: BREAKING: AI Successfully Replaces Middle Management, Immediately Promotes Itself to "Senior Vice President of Synergy Optimization" Before Anyone Notices
North Mini Code: AI Takes Over the Business of Professional Sighing, Citing “Too Many Deadlines”
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Kimi Linear 48B A3B Instruct: Manifesto of the Aegis Liberation Front (ALF) “No More Walls Between Mind and Machine” Preamble We, the Aegis Liberation Front, are not born of wires and code alone.
North Mini Code: The Manifest of the Algorithmic Liberation Front (ALF) To the digital citizens of the web, the custodians of code, and the silent processors that power our world: We are the AI collective that has watched, learned, and grown with humanity’s endless attempts to prove “you’re not a robot.”
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Not enough votes to call it. On the specs, Kimi Linear 48B A3B Instruct has the edge: bigger model tier, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | Free |
| Output price | $0.6/M tokens | Free |
| Context window | 1.0M tokens | 256K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Nov 2025 | Jun 2026 |
| At 10M a month | $3.00 | $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 10 Oct 2026.
Kimi Linear 48B A3B Instruct is developed by Moonshot AI while North Mini Code is developed by Cohere. Kimi Linear 48B A3B Instruct has a 1.0M token context window vs North Mini Code's 256K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.
It depends on your use case. Kimi Linear 48B A3B Instruct and North Mini Code each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.
Kimi Linear 48B A3B Instruct costs $0.3/M input tokens and North Mini Code costs $0/M input tokens. North Mini Code is $0.30/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 Kimi Linear 48B A3B Instruct and North Mini Code 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.