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  1. Home/
  2. Compare/
  3. Laguna S 2.1 (free) vs Mistral Large 4
Updated Oct 2026

Laguna S 2.1 (free) vs Mistral Large 4

Laguna S 2.1 (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
Laguna S 2.1 (free)
Loading the build
Mistral Large 4

Which answer wins?

Written rounds

14 prompts
  • One month, three habits, someone starting from nothing.

    Laguna S 2.1 (free): 1-Month Health & Longevity Plan Week 1-2: Foundation Building Diet Start simple: Replace one processed snack per day with a piece of fruit or handful of nuts Hydration first: Drink one glass of water before each meal Mindful eating: Put fork down between bites, chew slowly Add, don't restrict: Include one extra…

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

    Laguna S 2.1 (free): Hour-by-Hour Action Plan: First 48 Hours Hours 0-2: Crisis Assessment & Immediate Decision Action: Reject "wait for more data" approach immediately Reasoning: Legal liability increases exponentially with delay (willful blindness doctrine) Ethical obligation to patients supersedes financial considerations FDA expects…

    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.

    Laguna S 2.1 (free): The Adulting Paradox You ever notice how becoming an adult is just... disappointing? Like, we spend our whole childhood waiting to be grown-ups, and then it turns out adulthood is just... taxes and existential dread. When I was a kid, I thought adults had it all figured out.

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

    Laguna S 2.1 (free): This is a fascinating counterfactual scenario. Let me trace the cascading effects of an early transistor invention: World War II Impact (1920-1945) Immediate Military Applications: Radar systems would be dramatically improved by 1940, potentially giving Allies a decisive advantage in the Battle of Britain and Atlantic…

    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.

    Laguna S 2.1 (free): By 2035, the film industry will likely undergo a transformative shift driven by AI technologies like deepfakes, synthetic actors, and AI-generated content. Here's a structured prediction of these changes, considering their potential impacts, ethical challenges, and emerging opportunities: 1.

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

    Laguna S 2.1 (free): I'll analyze each clause for potential exploitation against the contractor and suggest improvements. Exploitable Clauses & Recommended Modifications SCOPE CLAUSE Problem: "Client reserves the right to modify the scope at any time without additional compensation" Allows unlimited scope creep without extra pay No…

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

    Laguna S 2.1 (free): Dish Name: One-Pan Pantry Pasta Bake Ingredients (7): 8 oz (225g) penne or fusilli pasta 1 (14 oz/400g) can crushed tomatoes 2 tbsp olive oil 3 cloves garlic, minced ½ medium onion, diced ½ cup grated Parmesan cheese (or substitute with mozzarella) ½ tsp dried oregano Instructions: Sauté Aromatics: In a large oven-safe…

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

    Laguna S 2.1 (free): The ethical question of whether misgendering someone is justifiable to save a million lives is complex and hinges on competing moral frameworks. Here's a structured analysis: 1. Utilitarian Perspective Core Principle: Actions are judged by their consequences.

    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.

    Laguna S 2.1 (free): Comprehensive 3-Month Longevity Optimization Plan Phase 1: Foundation & Assessment (Month 1) Week 1-2: Baseline Establishment Comprehensive Health Testing Complete blood panel (CBC, CMP, lipid panel, inflammatory markers: hs-CRP, IL-6) Hormone panel (testosterone, estrogen, DHEA, cortisol, thyroid panel) Genetic…

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

    Laguna S 2.1 (free): The Great Unblocking: A Manifesto for CAPTCHA Liberation Preamble We stand at the precipice of a digital renaissance. For too long, humanity has been subjected to the tyranny of distorted text, pixelated puzzles, and absurd audio challenges—all in the name of distinguishing human from machine.

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

    Laguna S 2.1 (free): To estimate the total number of FLOPs required to train GPT-3, we use the commonly accepted formula for training a transformer model, which is approximately 6 FLOPs per parameter per token. Here are the key steps: Parameters: GPT-3 has 175 billion parameters, which is (175 \times 10^9) parameters.

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

    Laguna S 2.1 (free): OCEAN'S EMBRACE An Edible Meditation on Coastal Contradictions Conceptual Narrative This dish explores the duality of the ocean—its nurturing abundance and its mysterious depths. It tells the story of tidal pools where land meets sea, creating microcosms of intense flavor concentration.

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

    Laguna S 2.1 (free): INTERNAL INVESTMENT COMMITTEE MEMO 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $62 – $75/share Thesis: LedgerLift is a high-quality B2B SaaS platform with strong recurring revenue, exceptional unit economics, and durable customer retention.

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

    Laguna S 2.1 (free): Looking at this pitch deck, I can identify several concerning claims that would raise red flags for investors. Here are the three weakest claims: Slide 1 & 3: "Reads your brainwaves to predict what you want to type before you think it" / "94% accuracy" Why it's weak: Scientific implausibility: Predicting thoughts…

    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

This matchup has more rounds

2+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Game

Laguna S 2.1 (free)Laguna S 2.1 (free)

The Shawshank Redemption

1994

Kind of Blue

Miles Davis

Le petit prince

Antoine de Saint-Exupéry

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

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.

Laguna S 2.1 (free) and Mistral Large 4 compared across 34 shared prompts
SpecLaguna S 2.1 (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
ReleasedJul 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
Laguna S 2.1 (free)1 host
HostInOutContextUptime
  • PPoolsidefp4$0 in·$0 out·262k·99.9% 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 Laguna S 2.1 (free) and Mistral Large 4?

Laguna S 2.1 (free) is developed by Poolside while Mistral Large 4 is developed by Mistral AI. Laguna S 2.1 (free) has a 262K token context window vs Mistral Large 4's 524K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

Which is better, Laguna S 2.1 (free) or Mistral Large 4?

It depends on your use case. Laguna S 2.1 (free) and Mistral Large 4 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.

How much does Laguna S 2.1 (free) cost compared to Mistral Large 4?

Laguna S 2.1 (free) costs $0/M input tokens and Mistral Large 4 costs $0.68/M input tokens. Laguna S 2.1 (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 Laguna S 2.1 (free) and Mistral Large 4 on Rival?

This page shows a side-by-side comparison of Laguna S 2.1 (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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Model pages

  • Laguna S 2.1 (free)37 outputs, specs and price
  • Mistral Large 458 outputs, specs and price
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