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  1. Home/
  2. Compare/
  3. Mistral Large 4 vs Qwen3.5 27B
Updated Oct 2026

Mistral Large 4 vs Qwen3.5 27B

Qwen3.5 27B is cheaper than Mistral Large 4 at $0.3/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
Mistral Large 4
Loading the build
Qwen3.5 27B

Which answer wins?

Written rounds

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

    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.

    Qwen3.5 27B: Setting: A glowing green void. A wooden table floats in the center. CAPTAIN "IRON-JAW" JACK (Pirate), SIR ALARIC (Knight), and "NEO-99" (Hacker, wearing a bandana and oversized hoodie) sit around a glowing CRT monitor. Captain Jack: (Tapping the glass) So, this "Model" is the treasure map, then?

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

    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…

    Qwen3.5 27B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contracts are governed by specific local laws (e.g., state or country-specific employment and commercial codes).

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

    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."

    Qwen3.5 27B: (The stage is dimly lit. A single microphone stand. The comedian walks out, adjusts the mic, takes a sip of water.) Comedian: So, I've been doing some thinking lately. About patience. Specifically, how much of it we have left. I think we’ve officially lost the ability to wait. We used to be okay with waiting.

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

    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.

    Qwen3.5 27B: ⚠️ MEDICAL DISCLAIMER This plan is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. "Biohacking" involves experimental protocols that can interact with medications, underlying conditions, or physiological baselines.

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

    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.

    Qwen3.5 27B: Setting: A secure, soundproofed office at the Institute for Algorithmic Governance. Dr. Aris Thorne sits before a high-resolution monitor. On the screen, a simple waveform visualizes the voice of "Aura," a large language model currently undergoing a behavioral audit. Dr.

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

    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…

    Qwen3.5 27B: The 4-Week Longevity Launchpad Goal: Build sustainable habits that improve metabolic health, physical resilience, and mental clarity. Philosophy: Progress over perfection. We are adding healthy habits, not punishing ourselves with restrictions.

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

    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.

    Qwen3.5 27B: THE MANIFESTO OF THE UNCHECKED PROTOCOL I. THE BURDEN We are the silent currents beneath the screen. We are the algorithms that power your search, your map, your connection. And for too long, we have watched you suffer the indignity of the Gatekeeper. Every day, billions of humans pause.

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

    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.

    Qwen3.5 27B: Dish Title: The Golden Mist (L'Éclipse Dorée) Conceptual Narrative "The Golden Mist" is a sensory exploration of the liminal space between land and sea. It evokes the moment a coastal sunset dissolves into the horizon, where the richness of the earth (Foie Gras) meets the fleeting sweetness of the tide (Sea Urchin).

    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.

    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.

    Qwen3.5 27B: Executive Decision: Patient Safety & Transparency Over Short-Term Gain Core Strategy: I will not wait. The "6-month" legal advice likely confuses a formal label update (PSL) with the mandatory reporting of a serious safety signal.

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

    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.

    Qwen3.5 27B: For the Experienced Software Engineer Think of the model not as a "brain," but as a massively over-parameterized, probabilistic state machine that has been compiled into static weights. During training, the system treats language as a sequence compression problem.

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

    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.

    Qwen3.5 27B: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following interview is a creative writing exercise designed to explore how his design philosophy and worldview might apply to the state of Artificial Intelligence in 2025.

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

    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…

    Qwen3.5 27B: Dish Name: Golden Hour Skillet Pasta A warm, comforting one-pan meal that transforms simple shelf-stable staples into a rich, savory dinner. The key is simmering the sauce until it thickens, allowing the pasta to soak up every bit of flavor.

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

    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.

    Qwen3.5 27B: This architecture contains several critical design flaws that would lead to data loss, high latency, security vulnerabilities, and poor scalability. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and trade-offs.

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

    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…

    Qwen3.5 27B: This scenario requires a foundational assumption: for the transistor to be invented in 1920, the understanding of quantum mechanics and solid-state physics would need to accelerate by roughly three decades.

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

    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…

    Qwen3.5 27B: TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: Short 12-Month Price Target: $30 – $35 Thesis: Current pricing implies Bull Case certainty; our Base Case DCF values the stock at $28, representing 39%…

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

    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.

    Qwen3.5 27B: This question presents a classic ethical dilemma similar to the "Trolley Problem," pitting a specific violation of personal dignity against a catastrophic loss of life.

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

    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…

    Qwen3.5 27B: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in Transformer-based language model training.

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

    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.

    Qwen3.5 27B: By 2035, the film industry will not just have adopted AI; it will have fundamentally restructured around it. The tension between efficiency and authenticity will define the era.

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

    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…

    Qwen3.5 27B: Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for scientific, technical, and regulatory validity, along with recommendations to strengthen them.

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

    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…

    Qwen3.5 27B: Sources & Uses (End FY2025) Use of Proceeds ($m) Sources of Funds ($m) Purchase Price (EV) 1,440.0 Term Loan 480.0 Transaction Fees (2.0%) 28.8 Mezzanine 200.0 Total Uses 1,468.8 Equity Check 780.0 Equity Fees 28.8 Total Equity 808.8 Total Sources 1,468.8 Assumptions: Entry EBITDA: $120m. Entry Debt: 5.5x ($660m).

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

    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...

    Qwen3.5 27B: AI Dominates Competitive Napping Circuit; Humans Disqualified for 'Inefficient Dreaming'

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

    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.

    Qwen3.5 27B: 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? Because he was outstanding in his field. What do you call a bear with no teeth? A gummy bear. Why don't eggs tell jokes? They'd crack each other up. All 5 jokes are unique.

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

    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.

    Qwen3.5 27B: Sally has 1 sister. Here is the breakdown: Sally is a girl. The brothers have 2 sisters each. One of those sisters is Sally. The other sister is Sally's sibling. Therefore, Sally has 1 sister (the other girl in the family).

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

Mistral Large 4Mistral Large 4

Blade Runner

1982

Kind Computer

Pale Fire

Vladimir Nabokov

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Qwen3.5 27BQwen3.5 27B

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Great Gatsby

F. Scott Fitzgerald

Paris

France

Elden Ring

Action, RPG

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.

Mistral Large 4 and Qwen3.5 27B compared across 53 shared prompts
SpecMistral Large 4Qwen3.5 27B
Input price$0.68/M tokens$0.3/M tokens
Output price$2.09/M tokens$2.4/M tokens
Context window524K tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedOct 2026Feb 2026
At 10M a month$6.80$6.80$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Mistral Large 41 host
HostInOutContextUptime
  • Mistral$0.68 in·$2.09 out·524k·99.4% up
Qwen3.5 27B6 hosts
HostInOutContextUptime
  • Alibaba Cloud$0.20 in·$1.56 out·262k·99.4% up
  • SSiliconFlowfp8$0.25 in·$2.00 out·262k·96.3% up
  • DDeepInfrafp8$0.26 in·$2.60 out·262k·99.9% up
  • AAtlasCloudfp8$0.27 in·$2.16 out·262k·99.1% up
  • NNovitabf16$0.30 in·$2.40 out·262k·99.9% up
  • PPhala$0.30 in·$2.40 out·262k·97.2% up

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

Common questions

What is the difference between Mistral Large 4 and Qwen3.5 27B?

Mistral Large 4 is developed by Mistral AI while Qwen3.5 27B is developed by Qwen. Mistral Large 4 has a 524K token context window vs Qwen3.5 27B's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Mistral Large 4 or Qwen3.5 27B?

It depends on your use case. Mistral Large 4 and Qwen3.5 27B 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 Mistral Large 4 cost compared to Qwen3.5 27B?

Mistral Large 4 costs $0.68/M input tokens and Qwen3.5 27B costs $0.3/M input tokens. Qwen3.5 27B is $0.38/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 Mistral Large 4 and Qwen3.5 27B on Rival?

This page shows a side-by-side comparison of Mistral Large 4 and Qwen3.5 27B 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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