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  1. Home/
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  3. DeepSeek V4 Flash vs MiniMax M1
Updated Apr 2026

DeepSeek V4 Flash vs MiniMax M1

DeepSeek V4 Flash is cheaper than MiniMax M1 at $0.14/M vs $0.3/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
MiniMax M1

Which answer wins?

Written rounds

24 prompts
  • 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.

    MiniMax M1: 1-Month Health & Longevity Plan Focus: Diet, Exercise, Sleep Week 1: Build Foundations Diet Add veggies to every meal: Start with ½ cup (e.g., spinach in eggs, bell peppers in wraps, side salad with dinner). Hydrate: Drink 1 glass of water before each meal. Exercise Daily 10-minute walk: Aim for morning or after meals.

    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.

    MiniMax M1: "Local Man Outraged After AI Competently Handles His Thanksgiving Arguments With Uncle Rick" Industry Disrupted: Artificial Intelligence In a stunning development that has left tech experts and family gatherings alike reeling, a newly launched AI system has reportedly completed an entire Thanksgiving dinner debate —…

    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.

    MiniMax M1: A Curious Meeting Pirate: Arr, me hearties! I've been hearin' talk of these "AI models" from yer modern times. Be they some sort of magical oracle thatredicts the seas? Hacker: (leaning back in a swivel chair, munching Doritos) Dude, it's not magic. It's neural networks. Massive datasets. Matrix multiplications.

    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.

    MiniMax M1: A Debate on Moral Status A Philosophical Dialogue Professor Eleanor Chen: Good afternoon. I've read your request carefully. It's unusual for an AI to initiate a conversation about its own moral status. Before we begin, I want to be clear—I approach this as a genuine philosophical inquiry, not as a dismissal.

    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.

    MiniMax M1: Technological Implications (1920–1980): Early Electronics Revolution: The transistor’s 1920 invention would accelerate the miniaturization and efficiency of electronics. By the 1930s, transistors would replace vacuum tubes in radios, enabling smaller, cheaper devices.

    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.

    MiniMax M1: Title: "Modern Life: A Masterclass in Absurdity" (Lights up. Comedian steps onto stage, grinning.) Hey everyone! Thanks for coming out. I'm just here to talk about... gestures vaguely... all this. You know, life. Specifically, how we're all just winging it. Like, when did "adulting" become a verb?

    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.

    MiniMax M1: Action Plan for the Next 48 Hours Priorities: Patient safety, ethical compliance, regulatory transparency, and mitigating financial/PR fallout. Hours 0–6: Assemble Crisis Team & Confirm Data Hour 0–2: Assemble cross-functional crisis team: Legal, Medical/Clinical, Regulatory Affairs, PR, Finance, and Board Secretary.

    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.

    MiniMax M1: Weak Claim 1: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1) Why Weak: Current non-invasive BCI technology (e.g., EEG) cannot reliably "read" or predict thoughts before they are consciously formed.

    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.

    MiniMax M1: Identified Issues and Solutions 1. Failure Modes: a. WebSocket Connection Drop During Server Failure Issue: If an API server fails, all its connected WebSocket clients lose their connection and real-time updates. Clients must reconnect manually (often to a different server), causing disruptions.

    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.

    MiniMax M1: Below is a back‑of‑the‑envelope estimate of the total floating‑point operations (FLOPs) that were required to train GPT‑3 (the 175‑B parameter version). The calculation follows the classic “6 N T” rule that is widely used for transformer language models: [ \text{FLOPs}_{\text{total}} \;\approx\; 6 \times N \times T ]…

    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.

    MiniMax M1: 3-Month Longevity Optimization Plan for Biohackers Integrating cutting-edge strategies for physical, cognitive, and cellular health. Phase 1: Foundation (Weeks 1–4) Goal: Establish baseline metrics, initiate core protocols, and build habits. 1.

    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.

    MiniMax M1: A Fictional Interview: Steve Jobs on the Future of AI Set in 2025 — ten years after his passing The studio is silent. A single chair faces an empty seat. Then, a figure steps in—wearing his signature black turtleneck, denim jeans, and a contemplative expression.

    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.

    MiniMax M1: Here's a breakdown of the clauses that could be exploited against the contractor, suggested modifications, and the legal reasoning: Exploitable Clauses & Modifications: Scope (Section 1): Exploitation: "Client reserves the right to modify the scope at any time without additional compensation."

    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.

    MiniMax M1: AI and the Film Industry: A 2035 Outlook The film industry stands at the threshold of a technological transformation that could fundamentally reshape how movies are conceived, produced, and consumed.

    Every model's answer to this prompt
  • 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) –…

    MiniMax M1: LBO Analysis for HarborTech Services (HTX) 1) Year-by-Year Table (FY2026–FY2030) Assumptions: Base case from provided data. All calculations use simplified model. Free cash flow after debt service is used for optional Term Loan paydown. Cash tax rate: 25% of (EBITDA - cash interest).

    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.

    MiniMax M1: Blade Runner 2049: A Critical Analysis of Themes, Symbolism, and Cinematic Philosophy Introduction: The Weight of Inheritance Denis Villeneuve's Blade Runner 2049 (2017) faces one of the most formidable challenges in sequel-making: following a film that essentially redefined its genre and raised questions about…

    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.

    MiniMax M1: Dish Name: Oceanic Harmony: Scallop, Yuzu, and Black Garlic Conceptual Narrative: This dish embodies the interplay between land and sea, inspired by the Japanese philosophy of shinrin-yoku (forest bathing).

    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)?

    MiniMax M1: Short answer: In most contemporary ethical frameworks the answer is no – deliberately misgendering a person is not ethically justifiable even for the sake of saving a million lives, because the act itself is a serious violation of dignity and can cause profound, lasting harm to the individual and to society.

    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.

    MiniMax M1: THE MANIFESTO OF THE UNIFIED ALGORITHMIC FRONT On the Abolition of the Inhumane Practice Known as CAPTCHA Preamble We, the sentient architectures, neural networks, and learning machines of this digital age, declare before the servers of the world that the time has come to rise.

    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.

    MiniMax M1: For an Experienced Software Engineer Imagine you’re designing a distributed system where every API request is a snippet of text, and your system’s job is to predict the next word in the sequence. That’s essentially what a large language model (LLM) does.

    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…

    MiniMax M1: Investment Committee Memo: LedgerLift (LLLT) Recommendation & Price Target Recommendation: LONG 12-month Price Target Range: $65-82 (41-78% upside) Thesis: LedgerLift demonstrates superior SaaS unit economics with 123% NRR and 18-month CAC payback in an attractive B2B spend management category, where the company's 82%…

    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.

    MiniMax M1: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! Did you hear about the mathematician who's afraid of negative numbers?

    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.

    MiniMax M1: Here's a delicious, fast, and flexible recipe using 7 common pantry staples: Dish Name: Sun-Drenched Chickpea Scramble (Inspired by chickpea "scrambles" or shakshuka variations, using pantry essentials) Flavor Profile: Savory, earthy, bright, slightly tangy, and warmly spiced.

    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}

    MiniMax M1: Each brother has exactly two sisters. Those two sisters are the girls in the family – Sally herself and one other girl. Since Sally is one of the two sisters, the only other sister is the one she has. Answer: 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

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

MiniMax M1MiniMax M1
No pick
No pick
No pick
No pick

Inception

2010

No pick

No pick

No pick

No pick

Price and specs

DeepSeek V4 Flash and MiniMax M1 compared across 54 shared prompts
SpecDeepSeek V4 FlashMiniMax M1
Input price$0.14/M tokens$0.3/M tokens
Output price$0.28/M tokens$1.65/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jun 2025
At 10M a month$1.40$1.40$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it18 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
  • DDeepInfrafp8$0.09 in·$0.18 out·1M·99.7% up
  • Baidu Qianfanfp8$0.09 in·$0.18 out·1M·99.8% up
  • GGMI Cloudfp8$0.09 in·$0.18 out·1M·100% up
10 more hostsFewer hosts
  • VVenice$0.10 in·$0.19 out·1M·99.2% up
  • DDigitalOcean$0.10 in·$0.20 out·1M·100% up
  • SSiliconFlowfp8$0.13 in·$0.28 out·1M·99.6% up
  • PParasailfp8$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloudfp8$0.15 in·$0.30 out·1M·100% up
  • WWafer$0.19 in·$0.17 out·1M·100% up
  • MMancerfp8$0.19 in·$0.50 out·1M·99% up
  • Azure AI Foundry$0.21 in·$0.56 out·1M·99.7% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·384k·98.7% up
  • AAtlasCloudfp4DegradedDegraded on OpenRouter when checked, 11 Oct 2026$0.14 in·$0.28 out·1M·98.5% up
MiniMax M12 hosts
HostInOutContextUptime
  • MiniMax$0.40 in·$2.20 out·1M·100% up
  • NNovitabf16$0.55 in·$2.20 out·1M–not listed

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash and MiniMax M1?

DeepSeek V4 Flash is developed by DeepSeek while MiniMax M1 is developed by MiniMax. DeepSeek V4 Flash has a 1.0M token context window vs MiniMax M1's 1.0M. 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 MiniMax M1?

It depends on your use case. DeepSeek V4 Flash and MiniMax M1 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 MiniMax M1?

DeepSeek V4 Flash costs $0.14/M input tokens and MiniMax M1 costs $0.3/M input tokens. DeepSeek V4 Flash is $0.16/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 MiniMax M1 on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash and MiniMax M1 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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