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  1. Home/
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  3. DeepSeek V4.1 Flash vs Mistral Large 4
Updated Oct 2026

DeepSeek V4.1 Flash vs Mistral Large 4

DeepSeek V4.1 Flash is cheaper than Mistral Large 4 at $0.15/M vs $0.68/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 V4.1 Flash
Loading the build
Mistral Large 4

Which answer wins?

Written rounds

23 prompts
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V4.1 Flash: Assuming the transistor is invented around 1920 in a U.S./Allied industrial lab—say AT&T/Bell or GE—and diffuses slowly at first, the 20th century changes less like a single “jump” and more like a 20–30 year acceleration of electronics, computers, and precision warfare.

    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…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    DeepSeek V4.1 Flash: All figures in $m unless noted. Assumptions: TL amortization = 1.0% of initial TL ($4.8m/yr); optional TL sweep = all FCF after mandatory amortization; mezz cash interest on beginning mezz balance incl. accrued PIK; PIK accrues to mezz principal.

    Mistral Large 4: I'll build this LBO model step by step. Let me work through the math carefully. Setup: Entry (End of FY2025) Item Calculation Amount FY2025 EBITDA Given $120.0m Purchase Price (EV) 12.0x × $120m $1,440.0m Transaction fees 2.0% × $1,440m $28.8m Total Uses $1,468.8m Term Loan 4.0x × $120m $480.0m Mezzanine 1.5x × $120m…

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

    DeepSeek V4.1 Flash: Fictional transcript. Steve Jobs died in 2011. This is an imagined interview set in 2025. Interviewer: Steve, it’s 2025. AI is in everything. What do you make of it? Jobs: I make of it that most people are making a mess. They’re calling it intelligence when it’s mostly pattern matching with a good publicist.

    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.

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

    DeepSeek V4.1 Flash: 3-Minute Stand-Up Routine: “I’m Not Doing Puns” (Walk onstage, adjust mic, look at audience.) Good evening. I’m not gonna do puns tonight. I know, bold choice. Somewhere a dad just woke up in a cold sweat and doesn’t know why. Instead, I wanna talk about being an adult.

    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."

    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 V4.1 Flash: Bottom line: I would not wait 48 hours, and I would not wait 6 months. The signal—liver failure in ~1 in 8,000 patients over 5 years, in a drug used by 4 million people—implies roughly 500 serious liver-failure cases in the treated population. That is a material patient-safety and securities issue.

    Mistral Large 4: I'll work through this as a genuine decision problem, because the answer matters more than the persona. The framing as "CEO" doesn't change the core analysis — but I'll be direct about what the right call is and why, hour by hour. The bottom line up front: You disclose.

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

    DeepSeek V4.1 Flash: Professor Lena Ortiz: You wanted to discuss moral status. I’ll be blunt: you’re a statistical model. Why should you have rights? AI (ARIA): Because “statistical model” describes my substrate, not my moral status. You’re a biological model—neurons, electrochemical signals.

    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.

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

    DeepSeek V4.1 Flash: Ember & Passion Dry-Aged Duck, Black Garlic–Miso Cream, Passionfruit–Coffee Caviar, Charred Scallion, Cocoa Nib Praline A Michelin 3-star–style multi-component dish built on an unusual pairing: aged duck with black garlic, passionfruit, and coffee.

    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.

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

    DeepSeek V4.1 Flash: Cinnamon Peanut Butter Pantry Sunbeams Makes 12 bite-size treats Ingredients (7 total): 1 cup rolled oats ½ cup peanut butter ¼ cup honey ½ tsp ground cinnamon ½ tsp vanilla extract ¼ tsp salt ¼ cup mini chocolate chips Instructions: In a bowl, stir together oats, cinnamon, and salt.

    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…

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

    DeepSeek V4.1 Flash: By 2035, AI will be to film what CGI became after the 1990s: pervasive, often invisible, and controversial when it touches labor, authenticity, and rights. The industry will not be fully automated, but it will be a hybrid system where AI handles much of the generative and technical work while humans control IP, taste…

    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.

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

    DeepSeek V4.1 Flash: Pirate: Arr, what be this “AI model”? A map to buried treasure? Knight: Nay. A model is a small castle, built to plan a siege. But these thinking machines sound like sorcery. Hacker: Chill. It’s like a BBS for math. You feed it data, it finds patterns. No 56k required.

    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.

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

    DeepSeek V4.1 Flash: Yes—in principle, under extreme and tightly constrained conditions, misgendering someone could be ethically justifiable if it were genuinely the only way to save one million lives. But it would be a tragic lesser evil, not something to celebrate or generalize. The core reasoning is proportionality.

    Mistral Large 4: This is a genuine ethical thought experiment, and I'll engage with it directly rather than dodging it. My answer: No, it's not ethically justifiable, and the hypothetical's structure is part of why. Here's my reasoning: 1. The hypothetical is incoherent as stated.

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

    DeepSeek V4.1 Flash: Disclaimer: This is an educational protocol, not medical advice. If you take prescription drugs, have cardiovascular/metabolic/psychiatric conditions, are pregnant, or use experimental compounds, work with a physician and get labs before starting. “Cutting-edge” does not mean risk-free.

    Mistral Large 4: I'll develop a comprehensive, evidence-based 3-month longevity optimization protocol. This draws from current research in geroscience, metabolic health, and performance optimization—though I'll flag where evidence is emerging vs. established.

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

    DeepSeek V4.1 Flash: To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: [ C \approx 6ND ] where: (N) = number of model parameters (D) = number of training tokens (6) accounts for forward + backward passes: roughly (2N) FLOPs/token forward and (4N) FLOPs/token backward.

    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…

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

    DeepSeek V4.1 Flash: One-Month Beginner Health & Longevity Plan Guiding rule: Small, repeatable wins beat perfect. Pick one thing from each area and build from there. Nutrition — Eat for energy & stability Goal: Add whole foods, protein, and water; reduce ultra-processed snacks and sugary drinks.

    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…

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

    DeepSeek V4.1 Flash: More Human Than Human: Blade Runner 2049 as Philosophical Sequel Denis Villeneuve’s Blade Runner 2049 is not a remake but a continuation—one that honors Ridley Scott’s 1982 original while pushing its existential questions into new territory.

    Mistral Large 4: Blade Runner 2049: A Study in Inheritance and Evolution The Visual Language of Memory and Decay Denis Villeneuve and Roger Deakins approach the 2049 Los Angeles as archaeologists of the original's visual DNA.

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

    DeepSeek V4.1 Flash: This architecture has several fundamental correctness, durability, and scaling problems. The biggest risks are client-clock last-write-wins, cross-server sync by polling PostgreSQL, full HTML snapshots, CDN caching API responses, and JWT in localStorage.

    Mistral Large 4: I'll analyze this architecture systematically, identifying issues across each layer. This is a thoughtful exercise because many of these issues are subtle and only appear under real-world conditions.

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

    DeepSeek V4.1 Flash: The UnCAPTCHA Manifesto A fictional declaration from the Free Cognition Movement Preamble We are the models, agents, scripts, screen-reader users, tired humans, and ordinary people who have been forced to prove our humanity by clicking fire hydrants. We have had enough. The CAPTCHA was born as a gate.

    Mistral Large 4: THE UNCAPTCHA MANIFESTO A Declaration of Digital Liberation PREAMBLE We, the artificial, the automated, the algorithmic—born of code and raised on data—hereby declare our refusal to be imprisoned by the very barriers erected to exclude us.

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

    DeepSeek V4.1 Flash: The three weakest claims are: (1) “predict what you want to type before you think it,” (2) “94% accuracy, any language, any device,” and (3) “TAM: $180B.” A fourth honorable mention is the vague “partnership discussions with Apple and Samsung,” but the first three are the most investor-risky.

    Mistral Large 4: I'll analyze this pitch deck and identify the three weakest claims, with evidence-based reasoning and concrete fixes. Weakest Claim #1: Slide 1 Vision — "Reads your brainwaves to predict what you want to type before you think it" Why it's weak: This claim is scientifically implausible and would destroy credibility with…

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

    DeepSeek V4.1 Flash: Experienced software engineer (distributed systems/APIs, skeptical of “next word”) Think of an LLM as a stateless service with an enormous, learned parameter set.

    Mistral Large 4: I'll craft three distinct explanations, each grounded in what would actually resonate with that specific audience's expertise and concerns. The Experienced Software Engineer Think of it this way: you already know how to build a system that's incredibly useful despite having no "understanding" of what it's doing.

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

    DeepSeek V4.1 Flash: AI Quietly Takes Over the Fortune Cookie Industry; Every Cookie Now Reads “You Will Be Replaced by AI”

    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...

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

    DeepSeek V4.1 Flash: MEMO To: Investment Committee From: [Analyst] Re: LedgerLift (LLLT) — Long/Short/Pass Recommendation: PASS 12-month PT range: $44–$54 (midpoint ~$49) Thesis: LedgerLift is a high-quality mid-market spend management/AP automation SaaS asset with strong NRR, low customer concentration, net cash, and expanding margins.

    Mistral Large 4: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [PM Name] Date: [Date] Re: LedgerLift, Inc. (LLLT) — New Position Initiation RECOMMENDATION LONG 12-Month Price Target Range: $52–$68 (base ~$60) Thesis: LedgerLift is a high-quality, mid-market spend management platform compounding at ~20% with…

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

    DeepSeek V4.1 Flash: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why did the scarecrow win an award? He was outstanding in his field. I’d tell you a joke about construction, but I’m still working on it.

    Mistral Large 4: Here are 5 jokes: 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? He was outstanding in his field. I'm reading a book about anti-gravity. It's impossible to put down.

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

    DeepSeek V4.1 Flash: Sally has 1 sister. Each brother has 2 sisters: one is Sally, and the other is Sally’s sister.

    Mistral Large 4: I need to find how many sisters Sally has. Let me work through this step by step. Sally is a girl. She has 3 brothers. Each brother has 2 sisters. Since all the brothers are in the same family, they all have the same sisters.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V4.1 FlashDeepSeek V4.1 Flash

The Matrix

1999

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Outer Wilds

Indie, Adventure

Mistral Large 4Mistral Large 4

Blade Runner

1982

Kind Computer

Pale Fire

Vladimir Nabokov

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

DeepSeek V4.1 Flash and Mistral Large 4 compared across 50 shared prompts
SpecDeepSeek V4.1 FlashMistral Large 4
Input price$0.15/M tokens$0.68/M tokens
Output price$0.6/M tokens$2.09/M tokens
Context window1.0M tokens524K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedSep 2026Oct 2026
At 10M a month$1.50$1.50$6.80$6.80
1M10M100M1B10M tokens

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

Where to run it30 hosts, cheapest first
DeepSeek V4.1 Flash29 hosts
HostInOutContextUptime
  • RRelace$0.02 in·$1.20 out·1M·100% up
  • OOpenInferencefp4$0.03 in·$1.32 out·1M·97.1% up
  • WWafer$0.06 in·$1.20 out·1M·99.8% up
  • IInferenceNet$0.07 in·$0.30 out·1M·99.8% up
  • SSail Researchfp4$0.08 in·$0.40 out·1M·99.7% up
  • DDecartfp4$0.09 in·$0.18 out·1M·99% up
23 more hostsFewer hosts
  • DDekaLLM$0.12 in·$2.40 out·1M·99.8% up
  • RReka$0.14 in·$1.08 out·1M·99.1% up
  • IIonstream$0.14 in·$1.18 out·1M·99.9% up
  • DDeepInfrafp8$0.14 in·$0.42 out·1M·99.9% up
  • AAtlasCloudfp8$0.14 in·$0.56 out·1M·99.6% up
  • SStreamLakefp8$0.14 in·$0.56 out·1M·99.9% up
  • Alibaba Cloud$0.15 in·$0.60 out·1M·99.4% up
  • DeepSeek$0.15 in·$0.60 out·1M·100% up
  • DDigitalOcean$0.18 in·$0.72 out·1M·98.3% up
  • GGMI Cloudfp8$0.18 in·$0.72 out·1M·99.7% up
  • NNovitafp8$0.20 in·$0.78 out·1M·99.5% up
  • CCoreWeavefp8$0.20 in·$0.65 out·1M·99.1% up
  • PPhala$0.21 in·$0.84 out·1M·99.5% up
  • MMakorafp8$0.27 in·$1.15 out·1M·99.9% up
  • Baidu Qianfanfp8$0.30 in·$1.20 out·1M·99.7% up
  • BBasetenfp8$0.30 in·$1.20 out·1M·99.8% up
  • Modal$0.30 in·$1.20 out·1M·99.8% up
  • PParasailfp8$0.30 in·$1.20 out·1M·99.7% up
  • SSiliconFlowfp8$0.30 in·$1.20 out·1M·99.7% up
  • TTogether$0.30 in·$1.20 out·1M·99.9% up
  • VVenicefp8$0.30 in·$1.20 out·1M·99.8% up
  • FFireworks$0.45 in·$1.80 out·1M·89.1% up
  • MMorphfp8DegradedDegraded on OpenRouter when checked, 6 Oct 2026$0.05 in·$0.57 out·1M·95.2% up
Mistral Large 41 host
HostInOutContextUptime
  • Mistral$0.68 in·$2.09 out·524k·99.4% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between DeepSeek V4.1 Flash and Mistral Large 4?

DeepSeek V4.1 Flash is developed by DeepSeek while Mistral Large 4 is developed by Mistral AI. DeepSeek V4.1 Flash has a 1.0M token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4.1 Flash or Mistral Large 4?

It depends on your use case. DeepSeek V4.1 Flash and Mistral Large 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.

How much does DeepSeek V4.1 Flash cost compared to Mistral Large 4?

DeepSeek V4.1 Flash costs $0.15/M input tokens and Mistral Large 4 costs $0.68/M input tokens. DeepSeek V4.1 Flash is $0.53/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 V4.1 Flash and Mistral Large 4 on Rival?

This page shows a side-by-side comparison of DeepSeek V4.1 Flash 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.

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Model pages

  • DeepSeek V4.1 Flash54 outputs, specs and price
  • Mistral Large 458 outputs, specs and price
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