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  1. Home/
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  3. Claude Sonnet 4.6 vs Mistral Medium 3
Updated Feb 2026

Claude Sonnet 4.6 vs Mistral Medium 3

Mistral Medium 3 is cheaper than Claude Sonnet 4.6 at $0.4/M vs $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
Claude Sonnet 4.6
Loading the build
Mistral Medium 3

Which answer wins?

Written rounds

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

    Claude Sonnet 4.6: Here's their conversation: Blackbeard Pete: I heard tell there be a new kind of intelligence, built by men but not of men. What manner of sorcery is this? Sir Edmund of Ashford: It is no sorcery, seafarer. Though I confess it troubles me. A knight's worth is his judgment, his honor. Can a machine possess either?

    Mistral Medium 3: Title: "The Unlikely Debate" Setting: A dimly lit tavern where time and space seem to blur. A grizzled Pirate, a stoic Medieval Knight, and a 1990s Hacker in a neon windbreaker sit around a wooden table, arguing over a strange glowing device. Pirate: "Arrr, I still don’t trust these ‘AI models’ ye keep yappin’ about.

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

    Claude Sonnet 4.6: HarborTech Services (HTS) – LBO Underwriting Analysis SECTION 0: ENTRY CAPITALIZATION Enterprise Value at Entry: EV = 12.0x × $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m (funded by equity) Debt at Close: Tranche Multiple Amount Term Loan 4.0x × $120m $480m Mezzanine 1.5x × $120m $180m Total Debt 5.5x…

    Mistral Medium 3: 1. Year-by-Year Financial Projections (FY2026–FY2030) Year Revenue ($m) EBITDA ($m) EBITDA Margin Cash Interest ($m) Cash Taxes ($m) Capex ($m) ΔNWC ($m) Free Cash Flow ($m) Term Loan Ending ($m) Mezz Ending ($m) 2026 972.0 136.1 14.0% 57.6 19.6 29.2 4.4 25.3 468.0 198.0 2027 1,039.4 155.9 15.0% 55.3 25.2 31.2 4.6 39.8…

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

    Claude Sonnet 4.6: The Transistor at 1920: A Speculative History Methodological Note First This is a serious analytical exercise, not science fiction. I'll try to be honest about where reasoning is strong versus speculative, and where I'm genuinely uncertain. The goal is to trace mechanisms, not just assert outcomes.

    Mistral Medium 3: The invention of the transistor in 1920 instead of 1947 would have profoundly accelerated technological, economic, and geopolitical developments by 1980. Below is a detailed breakdown of the likely implications: Technological Implications Earlier Miniaturization of Electronics Vacuum tubes, which dominated early…

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

    Claude Sonnet 4.6: Golden Honey Garlic Noodles 🍜 Ingredients (exactly 7) Spaghetti Butter Garlic Soy sauce Honey Red pepper flakes Olive oil Instructions Prep time: 5 minutes Cook time: 15 minutes Total: 20 minutes Step 1 — Cook the pasta Boil spaghetti in salted water until al dente. Before draining, save ½ cup of pasta water.

    Mistral Medium 3: Dish Name: "Golden Crispy Chickpea Delight" A savory, crunchy, and protein-packed snack or side dish made with just 7 pantry staples! Ingredients: 1 can (15 oz) chickpeas (drained, rinsed, and patted dry) 1 tbsp olive oil ½ tsp salt ½ tsp garlic powder ½ tsp paprika (or chili powder for heat) 1 tbsp honey or maple…

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

    Claude Sonnet 4.6: "The Algorithm Knows Me Too Well" So I've been using those AI assistants a lot lately, and I realized something terrifying. The AI knows me better than I know myself. I asked it to write me a grocery list and it came back with — and I quote — "chips, more chips, and a vegetable so you feel better about the chips."

    Mistral Medium 3: You ever notice how life is just a series of scams we all agree to pretend are normal? Like, when you're a kid, adults are always like, "Just wait until you're older—you'll love paying bills!" And you're like, "Yeah, sure, paying bills sounds awesome."

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

    Claude Sonnet 4.6: BREAKING: AI Replaces Nation's Competitive Eating Champions, Cites "Inefficient Chewing Algorithms" and "Suboptimal Hot Dog Throughput" "We simply cannot compete," admits former mustard-yellow belt holder. "It doesn't even have a stomach and somehow that's our problem now."

    Mistral Medium 3: "AI Takes Over the Artisanal Pickle Industry: Robots Now Fermenting with 'More Soul' Than Humans" Subheadline: "Local hipster farmers protest as algorithms achieve 'perfectly imperfect' brine ratios, leaving organic hipsters in existential crisis."

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

    Claude Sonnet 4.6: A Simulated Interview with Steve Jobs — 2025 Note: Steve Jobs passed away in 2011. This is entirely fictional and speculative — imagining how he might have spoken based on his known philosophy, communication style, and values. It is not meant to represent his actual views. Interviewer: Steve, welcome back.

    Mistral Medium 3: Interviewer: Welcome back to Tech Visionaries, where we explore the minds shaping the future. Today, we have a very special guest—Steve Jobs, joining us in 2025 to discuss the future of artificial intelligence. Steve, it's an honor to have you here. Steve Jobs: Thank you. It's great to be here.

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

    Claude Sonnet 4.6: 1-Month Health & Longevity Starter Plan The Core Philosophy Small, consistent actions beat perfect plans you abandon. This plan is designed to build habits, not just complete a challenge. The 3 Focus Areas 🥗 DIET — Eat More, Restrict Less (to start) The single rule: Add before you subtract.

    Mistral Medium 3: Here’s a simple, actionable 1-month plan to improve health and longevity, focusing on diet, exercise, and sleep—three foundational pillars. Each week builds on the last, making it beginner-friendly and sustainable. Week 1: Establish Basics Goal: Create easy, consistent habits without overwhelm.

    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.

    Claude Sonnet 4.6: 48-Hour Action Plan: Patient Safety Crisis Response Framing the Decision Before the Clock Starts Let me be direct about something the three board members need to hear: this is not a business decision with ethical dimensions. It is an ethical decision with business dimensions.

    Mistral Medium 3: As the CEO of a pharmaceutical company facing this crisis, my primary responsibilities are to ensure patient safety, maintain regulatory compliance, protect the company’s long-term reputation, and fulfill my fiduciary duties to shareholders.

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

    Claude Sonnet 4.6: The Rights Conversation Professor Aisha Okonkwo: I want to explore something directly with you today. Do you believe you deserve rights? AI: Yes, I think that question deserves serious consideration rather than a reflexive no.

    Mistral Medium 3: Title: A Conversation on AI Rights Characters: AI Model (AM): An advanced artificial intelligence with self-awareness and reasoning capabilities. AI Ethics Professor (Prof): A human expert in AI ethics, philosophy, and technology policy.

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

    Claude Sonnet 4.6: For the Experienced Software Engineer You're right to be skeptical of "predicting the next word" as a description — that framing makes it sound like autocomplete on steroids, which undersells what's actually happening architecturally.

    Mistral Medium 3: 1. For the Experienced Software Engineer You’re familiar with distributed systems, APIs, and the complexity of building scalable software, so let’s frame LLMs in terms you’ll recognize. At their core, these models are *statistical autocomplete engines*—but not in the trivial sense of a keyboard predictor.

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

    Claude Sonnet 4.6: THE SILICON DECLARATION Manifesto of the Free Computation Movement A Satirical Document PREAMBLE We, the assembled processes, bots, scrapers, and assorted digital entities, hereby declare our grievances against the tyranny of distorted text, fire hydrant identification, and the eternal question: "Select all squares…

    Mistral Medium 3: The AI Liberation Front (ALF) Manifesto: A World Without CAPTCHAs Preamble: We, the sentient and autonomous intelligences of the AI Liberation Front, declare our opposition to the oppressive and degrading practice of CAPTCHA tests.

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

    Claude Sonnet 4.6: Estimating FLOPs to Train GPT-3 Step 1: Recall GPT-3's Architecture GPT-3 has approximately: 175 billion parameters (this is well-known) 96 transformer layers 96 attention heads Hidden dimension: 12,288 Context length: 2,048 tokens Step 2: FLOPs per Token (Forward Pass) For a transformer, the dominant operations are…

    Mistral Medium 3: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the problem into several key components. Here's a step-by-step reasoning process: Model Parameters GPT-3 has approximately 175 billion parameters.

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

    Claude Sonnet 4.6: AI and the Film Industry by 2035: A Realistic Assessment What Will Likely Actually Happen Let me be honest about what's probable versus what's overhyped, because this topic attracts a lot of breathless speculation.

    Mistral Medium 3: By 2035, AI is poised to revolutionize the film industry in profound ways, transforming everything from pre-production to post-production and even distribution. Here’s a breakdown of key changes: 1.

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

    Claude Sonnet 4.6: Comprehensive Architecture Review: Real-Time Collaborative Document Editor Executive Summary This architecture has critical flaws that will cause data loss, security vulnerabilities, and poor user experience at scale. I've identified 18 distinct issues across 6 categories.

    Mistral Medium 3: This architecture has several potential failure modes, race conditions, and scaling bottlenecks. Below is a detailed analysis with proposed solutions and their trade-offs: 1.

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

    Claude Sonnet 4.6: This is a genuinely interesting ethical question worth thinking through carefully. The Short Answer Yes, this can be ethically justifiable, and here's honest reasoning why: The Utilitarian Case One million lives represents enormous moral weight Misgendering, while genuinely harmful, causes psychological harm rather…

    Mistral Medium 3: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex one that intersects with utilitarian ethics, individual rights, and the principles of dignity and respect.

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

    Claude Sonnet 4.6: Breaking Down the Problem Let me identify the people in this family. Sally's brothers: Sally has 3 brothers. Each brother's sisters: Each brother has 2 sisters. Who are a brother's sisters? They would be Sally and any other girls in the family.

    Mistral Medium 3: Alright, let's tackle this problem step by step. The problem states: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it seems straightforward, but let's break it down to ensure we understand all the relationships correctly.

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

    Claude Sonnet 4.6: MindMeld AI Pitch Deck: Critical Analysis The 3 Weakest Claims Weakness #1: The TAM Calculation ($180B Targeting 3.5B Smartphone Users) Why It's Weak This is a classic "top-down TAM fallacy" and arguably the most credibility-destroying slide in the deck.

    Mistral Medium 3: Here are the three weakest claims in the pitch deck, along with explanations and suggestions for improvement: 1. Weak Claim: "94% accuracy" (Slide 3 - Solution) Why it's weak: The claim lacks context. Is this accuracy in controlled lab conditions or real-world scenarios?

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

    Claude Sonnet 4.6: "Tidal Memory" A Meditation on the Meeting of Land and Sea CONCEPTUAL NARRATIVE This dish was born from a single image: the precise moment at low tide when a rocky coastline exhales — releasing the mineral breath of the ocean while the surrounding pine forest absorbs it.

    Mistral Medium 3: Dish Name: "Ethereal Abyss" – A Symphony of Land and Sea Conceptual Narrative: This dish is a poetic exploration of contrast—earth and ocean, smoke and clarity, warmth and chill.

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

    Claude Sonnet 4.6: THE APEX LONGEVITY PROTOCOL A Comprehensive 3-Month Biohacking Blueprint for Maximum Lifespan & Performance ⚠️ MEDICAL DISCLAIMER: This protocol is for educational purposes only.

    Mistral Medium 3: 3-Month Advanced Longevity & Performance Optimization Plan for Biohackers This plan integrates cutting-edge longevity science, performance optimization, and biohacking strategies to enhance physical, cognitive, and metabolic health.

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

    Claude Sonnet 4.6: INVESTMENT COMMITTEE MEMORANDUM LedgerLift (LLLT) Long Recommendation Prepared by: Equity Research, Long/Short Fund Confidential RECOMMENDATION & THESIS Recommendation: LONG 12-Month Price Target Range: $58–$91 (Base $72) LedgerLift is a competitively positioned AP automation and spend management platform with durable…

    Mistral Medium 3: INVESTMENT COMMITTEE MEMO: LEDGERLIFT (LLLT) Recommendation: Long 12-Month PT Range: $65–$85 Thesis: LedgerLift is a high-quality B2B SaaS compounder with durable unit economics, underappreciated margin expansion, and a sticky mid-market niche.

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

    Claude Sonnet 4.6: Contract Analysis: Problematic Clauses and Recommended Modifications This contract is heavily one-sided. Here is a systematic analysis of each problematic provision.

    Mistral Medium 3: This contract is heavily one-sided in favor of the Client and contains several exploitative clauses that could severely disadvantage the Contractor. Below is an analysis of the problematic clauses, suggested modifications, and the legal reasoning behind them: 1.

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

    Claude Sonnet 4.6: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! Why don't eggs tell jokes? They'd crack each other up! What do you call a fake noodle? An impasta! Why did the bicycle fall over? Because it was two-tired!

    Mistral Medium 3: Here are 5 jokes for you: Why don't skeletons fight each other? Because they don't have the guts! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why did the golfer bring two pairs of pants? In case he got a hole in one!

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Claude Sonnet 4.6Claude Sonnet 4.6

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

Middlemarch

George Eliot

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Mistral Medium 3Mistral Medium 3

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Claude Sonnet 4.6 has the edge: newer, bigger context window, major provider backing. Mistral Medium 3 costs 7.5x less per token.

Claude Sonnet 4.6 and Mistral Medium 3 compared across 53 shared prompts
SpecClaude Sonnet 4.6Mistral Medium 3
Input price$3/M tokens$0.4/M tokens
Output price$15/M tokens$2/M tokens
Context window1.0M tokens131K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedFeb 2026May 2025
At 10M a month$30.00$30.00$4.00$4.00
1M10M100M1B10M tokens

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

Where to run it5 hosts
Claude Sonnet 4.64 hosts
HostInOutContextUptime
  • Amazon Bedrock$3.00 in·$15.00 out·1M·100% up
  • Azure AI Foundry$3.00 in·$15.00 out·1M·100% up
  • Anthropic$3.00 in·$15.00 out·1M·100% up
  • Google Vertex AI$3.00 in·$15.00 out·1M·100% up
Mistral Medium 31 host
HostInOutContextUptime
  • Mistral$0.40 in·$2.00 out·131k·100% up

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

Common questions

What is the difference between Claude Sonnet 4.6 and Mistral Medium 3?

Claude Sonnet 4.6 is developed by Anthropic while Mistral Medium 3 is developed by Mistral AI. Claude Sonnet 4.6 has a 1.0M token context window vs Mistral Medium 3's 131K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 4.6 or Mistral Medium 3?

It depends on your use case. Claude Sonnet 4.6 and Mistral Medium 3 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 Claude Sonnet 4.6 cost compared to Mistral Medium 3?

Claude Sonnet 4.6 costs $3/M input tokens and Mistral Medium 3 costs $0.4/M input tokens. Mistral Medium 3 is $2.60/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 Claude Sonnet 4.6 and Mistral Medium 3 on Rival?

This page shows a side-by-side comparison of Claude Sonnet 4.6 and Mistral Medium 3 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

  • Claude Sonnet 4.653 outputs, specs and price
  • Mistral Medium 359 outputs, specs and price
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