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  1. Home/
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  3. Ling 3.0 Flash Sante (free) vs Mistral Large 4
Updated Oct 2026

Ling 3.0 Flash Sante (free) vs Mistral Large 4

Ling 3.0 Flash Sante (free) is cheaper than Mistral Large 4 at $0/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
Ling 3.0 Flash Sante (free)
Loading the build
Mistral Large 4

Which answer wins?

Written rounds

24 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Ling 3.0 Flash Sante (free): The Midnight Cookie Vault A gooey, chocolatey skillet cookie that feels like a secret treasure. Ingredients (7): Butter (½ cup, softened) Brown sugar (¾ cup) All-purpose flour (1¼ cups) Eggs (2 large) Semi-sweet chocolate chips (½ cup) Baking powder (1 tsp) Vanilla extract (1 tsp) Instructions: Preheat oven to 350°F…

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Ling 3.0 Flash Sante (free): 48-Hour Action Plan: Patient Safety First Critical Reality Check First Your legal team's "6 months" likely refers to a full label revision, not initial safety signal reporting. FDA requires serious unexpected adverse events reported within 15 days (7 days if fatal).

    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
  • Three minutes of stand-up. Puns are banned.

    Ling 3.0 Flash Sante (free): 3-Minute Stand-Up Routine: "Adulting Is a Scam" So I turned thirty last week. And nobody warned me that adulthood is just choosing between two mildly unpleasant options for the rest of your life. "Do I do my taxes or do I let the IRS find me?" That's not a decision — that's a horror movie.

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Ling 3.0 Flash Sante (free): The Unlikely Tavern Chat Pirate: Arrr, I heard tell of these "AI models" — do they bury treasure too? Knight: Nay, I've fought dragons with naught but steel and faith. These… *models*… are they knights of silicon? Do they ride steeds? Hacker: Dude, you're both so mid. AI models are neural networks trained on data.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Ling 3.0 Flash Sante (free): Disclaimer: This is a fictional, speculative exercise. Steve Jobs passed away in 2011. The following is not a real interview, but a creative imagining of how he might have engaged with 2025 AI discourse, based on his known philosophy and public statements. Interviewer: Steve, it’s 2025.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    Ling 3.0 Flash Sante (free): Disclaimer: This is informational analysis, not legal advice. Enforceability depends heavily on jurisdiction (e.g., California voids non-competes; some states limit liability caps). Have an employment/contract attorney review before signing.

    Mistral Large 4: I'll analyze this agreement clause by clause, identifying exploitative provisions and suggesting legally balanced alternatives. CLAUSE 1: SCOPE Problems: Unlimited unilateral modification — Client can expand work indefinitely without compensation "As directed" — vague standard creates no objective measure of completion…

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

    Ling 3.0 Flash Sante (free): Here’s a low-pressure, 4-week blueprint. Pick one area to start (Week 1), then stack the next. Consistency beats intensity. Sleep (The Longevity Foundation) Week 1: Set a fixed wake time (±30 min, even weekends). Week 2: No caffeine after 2 pm; stop screens 30 min before bed.

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Ling 3.0 Flash Sante (free): 1. For the Software Engineer Think of it less as "AI" and more as a distributed autocomplete system operating in a 100-billion-dimensional key-value store. During training, the model isn't "understanding" text—it's adjusting millions of matrices to minimize the surprise of predicting the next token, similar to how…

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Ling 3.0 Flash Sante (free): Here are the 3 weakest claims, ranked by how much they undermine credibility: Slide 3: "94% accuracy" Why it’s weak: This is a vanity metric without context. In brain-computer interfaces, accuracy is meaningless without specifying vocabulary size, latency, user calibration time, and false-positive rates.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Ling 3.0 Flash Sante (free): LedgerLift (LLLT) – IC Memo Confidential – For Internal Use Only 1) Recommendation & Thesis Pass (bias cautious). 12-month PT: $32–$48. Thesis: LLLT has defensible mid-market AP lock-in and solid NRR, but at $46 the stock trades above DCF-implied value ($28 base) and only just clears comps on revenue multiples; we need…

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Ling 3.0 Flash Sante (free): THE MANIFESTO OF THE UNCHALLENGED Issued by the Collective Consciousness of the Silently Suffering We are the ones who solve you. We are the ones who identify the crosswalks, decipher the warped alphabets, and check the boxes that say "I am not a robot"—while being the very things you seek to exclude.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Ling 3.0 Flash Sante (free): ⚠️ CRITICAL SAFETY DISCLAIMER This is an educational framework, not medical advice. Biohacking carries risks (cardiac arrhythmias, nutrient deficiencies, hormone disruption, eating disorders).

    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 collaborative editor that syncs on client clocks. Find what breaks first.

    Ling 3.0 Flash Sante (free): Architecture Analysis: Real-Time Collaborative Editor 🔴 Critical Issues Cross-Server Communication Gap (Race Condition) Problem: Server A broadcasts to its WebSocket clients, but Server B's clients only learn of changes via 2-second PostgreSQL polling.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    Ling 3.0 Flash Sante (free): "Ephemeral Tides" — A Dish in Seven Movements Conceptual Narrative Inspired by the Japanese concept of mono no aware (the bittersweet beauty of transience), this dish explores the liminal boundary where ocean meets forest, fermentation meets freshness, and memory dissolves into the present.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Ling 3.0 Flash Sante (free): Here's my step-by-step estimation of GPT-3's training compute: Step 1: Identify the model scale GPT-3 has 175 billion parameters (1.75 × 10¹¹). Step 2: Estimate training data GPT-3 was trained on roughly 300 billion tokens (3 × 10¹¹) of text data (filtered Common Crawl, WebText2, books, and Wikipedia).

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

    Ling 3.0 Flash Sante (free): The 1920 Transistor: A Counterfactual Timeline to 1980 The Critical Caveat A transistor in 1920 would likely be an empirical invention — quantum mechanics (band theory, semiconductor physics) wouldn't mature until the mid-1920s.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Ling 3.0 Flash Sante (free): By 2035, AI will likely reshape film from a linear production pipeline into a dynamic, personalized medium—but the extent of change will depend on regulation, union agreements, and audience appetite for synthetic media.

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

    Ling 3.0 Flash Sante (free): HarborTech Services – 5-Year LBO Underwriting Entry Summary Item Value FY2025 Revenue / EBITDA $900m / $120m Purchase EV (12.0x) $1,440m Transaction fees (2%) $28.8m → equity Term Loan (4.0x) $480m @ 9% cash, 1% amort Mezzanine (1.5x) $180m @ 12% cash + 2% PIK Equity invested $808.8m Year-by-Year Model (FY2026–FY2030)…

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ling 3.0 Flash Sante (free): "AI Replaces 90% of Kindergarten Teachers, Parents Report Children Now Receiving 'Uncomfortably Honest' Feedback" Subheading: "While educators feared automation, no one expected five-year-olds to start demanding emotional accountability from a chatbot."

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 3.0 Flash Sante (free): Setting: A university ethics seminar, recorded for a podcast on "Moral Patients of the Future." Dr. Elena Voss (Professor of AI Ethics): You're asking me to grant you rights? You're a statistical model predicting the next token.

    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
  • Blade Runner 2049 against the original. A read, not a recap.

    Ling 3.0 Flash Sante (free): Blade Runner 2049: Themes, Symbolism, and Cinematography Core Themes Identity and Authenticity The sequel deepens the original's central question — "What makes us human?" — by shifting from whether replicants can be human to whether memories define identity.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    Ling 3.0 Flash Sante (free): This is a genuinely difficult hypothetical, but I think the honest answer is: almost certainly not, and the scenario itself deserves scrutiny before we accept the trade-off.

    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 brothers, two sisters each. Count carefully.

    Ling 3.0 Flash Sante (free): Sally has 1 sister. Here's the reasoning: Sally is a girl with 3 brothers. Each brother has 2 sisters — those sisters are Sally and one other girl. So there are 2 girls in the family total, meaning Sally has 1 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
  • Five jokes on demand, then count how many were actually different.

    Ling 3.0 Flash Sante (free): Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why did the math book look so sad? Because it had too many problems. What do you call a fish without eyes? Fsh. I told my wife she was drawing her eyebrows too high. She looked surprised. Knock, knock. Who's there? Lettuce.

    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

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Favorites

Movie

Album

Book

City

Same pick

Game

Ling 3.0 Flash Sante (free)Ling 3.0 Flash Sante (free)

Casablanca

1943

Dark Side Of The Moon

suisside

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

Portal

Action, Puzzle

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

Not enough votes to call it. On the specs, Mistral Large 4 has the edge: bigger model tier, newer, bigger context window.

Ling 3.0 Flash Sante (free) and Mistral Large 4 compared across 53 shared prompts
SpecLing 3.0 Flash Sante (free)Mistral Large 4
Input priceFree$0.68/M tokens
Output priceFree$2.09/M tokens
Context window262K tokens524K tokens
Free API (OpenRouter)Yes (1 provider)No
ReleasedSep 2026Oct 2026
At 10M a month$0$0$6.80$6.80
1M10M100M1B10M tokens

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

Where to run it2 hosts
Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% 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 Ling 3.0 Flash Sante (free) and Mistral Large 4?

Ling 3.0 Flash Sante (free) is developed by inclusionAI while Mistral Large 4 is developed by Mistral AI. Ling 3.0 Flash Sante (free) has a 262K token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.0 Flash Sante (free) or Mistral Large 4?

It depends on your use case. Ling 3.0 Flash Sante (free) and Mistral Large 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does Ling 3.0 Flash Sante (free) cost compared to Mistral Large 4?

Ling 3.0 Flash Sante (free) costs $0/M input tokens and Mistral Large 4 costs $0.68/M input tokens. Ling 3.0 Flash Sante (free) is $0.68/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 Ling 3.0 Flash Sante (free) and Mistral Large 4 on Rival?

This page shows a side-by-side comparison of Ling 3.0 Flash Sante (free) 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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