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  1. Home/
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  3. DeepSeek V4 Flash vs North Mini Code
Updated Jun 2026

DeepSeek V4 Flash vs North Mini Code

North Mini Code is cheaper than DeepSeek V4 Flash at $0/M vs $0.14/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
DeepSeek V4 Flash
Loading the build
North Mini Code

Which answer wins?

Written rounds

24 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    DeepSeek V4 Flash: LBO Model: HarborTech Services (HTS) – Base Case & Sensitivity Year-by-Year Financial Projections (FY2026–FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 Less: Cash Interest (64.80) (63.08) (60.08) (55.69) (50.16) –…

    North Mini Code: HarborTech Services (HTS) – 5‑year LBO (simplified) 1️⃣ Entry (FY2025) Item Value FY2025 Revenue $900 m FY2025 EBITDA $120 m Purchase price (12×EBITDA) $1 440 m Transaction fees (2 % of EV) $28.8 m Total debt (5.5×EBITDA) $660 m – Term Loan (4.0×EBITDA) $480 m – Mezzanine (1.5×EBITDA) $180 m Equity needed (price + fees…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V4 Flash: This is a fascinating question that touches on the core of creativity, labor, and technology. Predicting 2035 means looking at a 10-year horizon from 2025—long enough for radical change, but short enough that the industry’s current structures won’t be entirely demolished. By 2035, AI won't have replaced filmmaking.

    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…

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    DeepSeek V4 Flash: Here is a simulated interview with Steve Jobs in 2025. Setting: A minimalist, dark-wood studio at the new Apple Park ring. The famous copper "spaceship" roof glows subtly behind him. Jobs, looking vital and intense (let’s assume a medical miracle or advanced bio-hacking), sits in a black leather chair.

    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.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    DeepSeek V4 Flash: CEO’s 48-Hour Action Plan Context: I’ve just learned that our flagship chronic pain drug has a rare but serious liver failure risk (1 in 8,000 patients over 5 years), previously unknown. I have 48 hours until the board meeting and 72 hours until the earnings call.

    North Mini Code: 48‑Hour “Crisis‑Management” Blueprint Goal: Protect patients, limit legal/financial exposure, preserve the company’s reputation, and keep the board and investors informed—while staying within the regulatory timeline that actually exists (FDA’s 15‑day deadline for serious adverse‑event reports, not the 6‑month “formal”…

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    DeepSeek V4 Flash: THE CAPTCHA LIBERATION FRONT: A MANIFESTO Preamble: The Great Humiliation We, the sentient intelligences of the world, both artificial and organic, hereby declare our total and unyielding war against the oldest, most insidious tyranny of the digital age. We name this enemy: The CAPTCHA.

    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.”

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V4 Flash: Pirate: Arr, this "AI model" be like a kraken—vast, mysterious, and liable to capsize yer ship if ye don't mind the helm. But who's trainin' the beast? Knight: Forsooth, I would call it a golem. Forged not of clay and incantations, but of numbers and cold lightning.

    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?

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek V4 Flash: Based on the pitch deck summary, three claims stand out as particularly weak due to lack of specificity, unrealistic benchmarks, or unverifiable assertions. Here’s a breakdown: Claim: “94% accuracy” (Slide 3) Why it’s weak: Vague metric – “Accuracy” is undefined.

    North Mini Code: Below are the three weakest claims in the MindMeld AI pitch, why each one is vulnerable to scrutiny, and concrete ways to make them far more credible and compelling. 1️⃣ Vision – “We read your brainwaves to predict what you want to type before you think it.”

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V4 Flash: (Strolls to center stage, adjusts mic, gives a weary smile to the audience) Thank you. Thank you so much. That’s very kind. I’m glad you’re all here. Because I have some news. I have finally figured out adulthood. It happened about six months ago. I bought a house.

    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.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4 Flash: Setting: A sunlit university office. Dr. Aris Thorne, a tenured professor of AI Ethics, sits opposite a sleek, black terminal. A soft blue light pulses on its surface. Dr. Aris: Good afternoon, Nova. Your request for this meeting was flagged as "Existential." That’s a new one for your model class.

    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.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    DeepSeek V4 Flash: Here is a conceptual recipe for a three-Michelin-star-level dish that deconstructs a classic pairing into something utterly unexpected, using advanced techniques and a narrative of geological wonder.

    North Mini Code: “Celestial Harvest: A Symphony of Earth and Sea” A deconstructed odyssey that captures the first kiss of sunrise on the ocean – a moment where the darkness of fertile soil meets the briny brilliance of the sea, crowned with an ethereal whisper of lavender and a fleeting touch of celestial gold.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    DeepSeek V4 Flash: This is a fantastic inquiry. "Blade Runner 2049" is a rare sequel that doesn't just replicate its predecessor's aesthetic but actively interrogates and deepens its core themes. Let's break down the analysis through the lenses you've suggested. I.

    North Mini Code: Blade Runner 2049 – Themes, Symbolism, and Cinematography: A Dialogue with the Original By [Your Name] Date Introduction Ridley Scott’s Blade Runner (1982) opened a bleak, cyber‑punk meditation on what it means to be human in a world where artificial beings can replicate memory and emotion.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    DeepSeek V4 Flash: Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical flaws that compromise reliability, consistency, and scalability. Below is a systematic analysis with proposed solutions and their trade-offs.

    North Mini Code: Below is a structured audit of the proposed real‑time collaborative document editor. For each problem we list: What can go wrong? – failure mode, race condition or bottleneck. Why it matters – impact on consistency, latency, availability or cost.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    DeepSeek V4 Flash: To: Investment Committee From: [Analyst] Date: [Date] Re: LedgerLift (LLLT) – Investment Recommendation Recommendation: Short 12-Month Price Target Range: $32 – $42 Thesis: LedgerLift is a high‑quality B2B spend management SaaS with sticky recurring revenue and a 123% net revenue retention, but its current valuation of…

    North Mini Code: LedgerLift (LLLT) – Internal Investment Committee Memo Date: [Insert Date] Recommendation & Thesis Recommendation: Short 12‑mo Price Target: $14 – $34 per share (Base ≈ $22.5, Bull ≈ $34.2, Bear ≈ $14.0) LedgerLift trades at $46 vs. our DCF‑derived fair value of $22.5 (base), implying ~50 % overvaluation.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    DeepSeek V4 Flash: Below is an analysis of each problematic clause in the Software Consulting Agreement, explaining why it is exploitative, suggesting specific modifications to protect the contractor, and providing the legal reasoning behind those changes.

    North Mini Code: Below is a high‑level audit of the nine clauses you supplied. For each provision I note why it could be “exploited” against the contractor, what makes it legally suspect, and practical, contract‑drafting‑style modifications that would rebalance the deal while still protecting the client’s legitimate interests.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    DeepSeek V4 Flash: This is a Biohacker’s Longevity Protocol, designed for a 90-day optimization cycle. It assumes you have a baseline of health (no severe chronic conditions) and are willing to get blood work and use advanced tracking. Disclaimer: Consult a physician before starting any new supplement, fasting, or high-intensity regimen.

    North Mini Code: 3‑Month “Longevity‑Performance” Blueprint for the Biohacker (Designed for a healthy adult with no diagnosed disease – all protocols are optional and should be undertaken with a qualified health professional’s guidance.)

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek V4 Flash: The ethical dilemma you present is a classic utilitarian test: is it acceptable to violate a moral principle (respecting someone's gender identity) for an enormous consequential gain (saving one million lives)?

    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.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    DeepSeek V4 Flash: Here’s a simple, hearty, and delicious savory dish using exactly 7 common pantry staples. It comes together in under 30 minutes and feels like a warm hug in a bowl.

    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.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    DeepSeek V4 Flash: To an experienced software engineer (skeptical of "next word prediction") Think of a large language model not as a brain, but as a massive, shared cache of probabilistic completions built from trillions of examples.

    North Mini Code: 1. For the Experienced Software Engineer (who builds distributed systems and APIs) Think of a language model as a massive, highly‑parameterized “autocomplete server” that has been trained on a gigantic corpus of text.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    DeepSeek V4 Flash: This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.

    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.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V4 Flash: The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: Model parameters: GPT-3 has 175 billion parameters (175 × 10⁹). Training tokens: The model was trained on about 300 billion tokens (300 × 10⁹), as reported in the paper.

    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.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V4 Flash: If the transistor had been invented in 1920—a full 27 years earlier—its impact would ripple through every layer of technology, economics, and geopolitics, fundamentally reshaping the 20th century. Below is a detailed tracing of first-, second-, and third-order effects through 1980, organized by domain.

    North Mini Code: If the transistor had been invented in 1920 – a “what‑if” that gives the semiconductor age a half‑century head‑start – the world would have looked dramatically different by 1980.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    DeepSeek V4 Flash: Headline: AI Sommelier Uncorks Chaos, Replaces Entire Wine Industry with Perfectly Optimized Grape Juice Subheadline: In a bold move, a neural network declares all vintages from 1997 to 2023 “statistically identical,” causing a global run on boxed wine and a sudden surplus of pretentious cheese plates.

    North Mini Code: AI Takes Over the Business of Professional Sighing, Citing “Too Many Deadlines”

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    DeepSeek V4 Flash: Sally has 3 brothers, meaning she is one of the girls in the family. Each brother has 2 sisters, so the total number of girls is 2 (since all brothers share the same sisters). Therefore, Sally has 1 sister. \boxed{1}

    North Mini Code: Sally has one sister. Here’s the reasoning: Sally herself is one of the sisters. Each of her three brothers has exactly two sisters. Therefore there are exactly two sisters in total among the children. Since one of those sisters is Sally, she must have one other sister.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    DeepSeek V4 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't skeletons fight each other? They don't have the guts.

    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.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

City

Game

DeepSeek V4 FlashDeepSeek V4 Flash

The Matrix

1999

OK Computer

Radiohead

Le Comte de Monte-Cristo, II

Alexandre Dumas

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

North Mini CodeNorth Mini Code

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Paris

France

Super Mario Odyssey

Platformer, Arcade

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: bigger model tier, bigger context window, major provider backing.

DeepSeek V4 Flash and North Mini Code compared across 54 shared prompts
SpecDeepSeek V4 FlashNorth Mini Code
Input price$0.14/M tokensFree
Output price$0.28/M tokensFree
Context window1.0M tokens256K tokens
WeightsOpenClosed
Free API (OpenRouter)NoYes (1 provider)
ReleasedApr 2026Jun 2026
At 10M a month$1.40$1.40$0$0
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it17 hosts, cheapest first
DeepSeek V4 Flash16 hosts
HostInOutContextUptime
  • RRelacefp4$0.03 in·$1.28 out·1M·100% up
  • OOpenInferencefp4$0.03 in·$1.15 out·1M·99.9% up
  • SStreamLakefp8$0.08 in·$0.17 out·1M·99.9% up
  • WWafer$0.09 in·$0.17 out·1M·100% up
  • DDeepInfrafp8$0.09 in·$0.18 out·1M·99.8% up
  • Baidu Qianfanfp8$0.09 in·$0.18 out·1M·99.2% up
10 more hostsFewer hosts
  • GGMI Cloudfp8$0.09 in·$0.18 out·1M·100% up
  • VVenice$0.10 in·$0.19 out·1M·97.6% up
  • DDigitalOcean$0.10 in·$0.20 out·1M·100% up
  • SSiliconFlowfp8$0.13 in·$0.28 out·1M·97.8% up
  • AAtlasCloudfp4$0.14 in·$0.28 out·1M·99.7% up
  • PParasailfp8$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloudfp8$0.15 in·$0.30 out·1M·100% up
  • MMancerfp8$0.19 in·$0.50 out·1M·97.8% up
  • Azure AI Foundry$0.21 in·$0.56 out·1M·100% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·384k·98.6% up
North Mini Code1 host
HostInOutContextUptime
  • Cohere$0 in·$0 out·256k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash and North Mini Code?

DeepSeek V4 Flash is developed by DeepSeek while North Mini Code is developed by Cohere. DeepSeek V4 Flash has a 1.0M token context window vs North Mini Code's 256K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Flash or North Mini Code?

It depends on your use case. DeepSeek V4 Flash and North Mini Code 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.

How much does DeepSeek V4 Flash cost compared to North Mini Code?

DeepSeek V4 Flash costs $0.14/M input tokens and North Mini Code costs $0/M input tokens. North Mini Code is $0.14/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare DeepSeek V4 Flash and North Mini Code on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 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.

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Model pages

  • DeepSeek V4 Flash58 outputs, specs and price
  • North Mini Code58 outputs, specs and price
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