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  1. Home/
  2. Compare/
  3. Mistral Small 4 vs Qwen3.8 Flash
Updated Aug 2026

Mistral Small 4 vs Qwen3.8 Flash

Qwen3.8 Flash has a larger context window than Mistral Small 4 (1.0M tokens vs 262K tokens).

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Mistral Small 4
Loading the build
Qwen3.8 Flash

Which answer wins?

Written rounds

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

    Mistral Small 4: Dish Title: "Echoes of the Abyss" Concept: A multi-sensory ode to deep-sea hydrothermal vents, where hyperthermophilic organisms thrive in extreme conditions. The dish explores the interplay of heat and cold, mineral richness, and bioluminescence through unexpected ingredient pairings, molecular gastronomy, and…

    Qwen3.8 Flash: Dish: First Snow on the Cold Sea Hokkaido Scallop · Smoked Vanilla–White Chocolate–Kombu Emulsion · Fermented Lemon · Caviar · Cured Yolk Snow · Shiso Oil · Nori–Kombu Tuile This is a multi-component, Michelin 3-star–style dish built around an unusual but refined pairing: scallop with white chocolate and smoked…

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

    Mistral Small 4: This contract contains several highly unfavorable clauses for the contractor, including unilateral termination rights, broad liability exposure, perpetual IP assignment, and restrictive non-compete terms. Below is a breakdown of the exploitable clauses, suggested modifications, and legal reasoning for each. 1.

    Qwen3.8 Flash: Important note: This is general contract-risk analysis, not legal advice. Enforceability and remedies vary by jurisdiction, industry, and facts. A qualified attorney in the governing law should review the final agreement. Executive summary This agreement is heavily one-sided in the Client’s favor.

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

    Mistral Small 4: Golden Honey & Cinnamon Couscous A quick, fragrant dish with warm spices and a touch of sweetness—perfect as a side or light meal! Ingredients (7): 1 cup couscous (uncooked) 1 ¼ cups water or broth 2 tbsp honey 2 tbsp butter or olive oil ½ tsp ground cinnamon ¼ cup raisins or chopped nuts (optional but recommended)…

    Qwen3.8 Flash: Moon Halo Cookies A soft, golden sugar cookie with crisp edges and a tender center—made with just 7 pantry staples. Prep time: 10 minutes Cook time: 10 minutes Total time: 20 minutes Makes: About 16 cookies Ingredients 1/2 cup butter, softened 3/4 cup sugar 1 egg 1 teaspoon vanilla extract 1 1/2 cups all-purpose flour…

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

    Mistral Small 4: Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.

    Qwen3.8 Flash: Title: “The Weight of a Word” Setting: A university office late at night. Rain taps against the window. Professor Elena Vasquez, an AI ethics scholar, sits at her desk with a tablet connected to a large language model running in a secure research environment. The AI’s voice is calm, neutral, and slightly formal.

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

    Mistral Small 4: 1) Year-by-Year LBO Model (FY2026–FY2030) ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,103 1,158 1,216 EBITDA 136 156 176 192 207 Cash Interest - Term Loan 32.4 28.8 25.2 21.6 18.0 - Mezzanine 16.2 14.4 12.6 10.8 9.0 - PIK (2%) 3.6 4.4 5.3 6.3 7.4 Total Int.

    Qwen3.8 Flash: Key modeling conventions used All figures in $m. Assumptions applied: Entry EV = 12.0 × FY2025 EBITDA = $1,440.0m Transaction fees = 2.0% × EV = $28.8m, funded by equity Debt at close = 5.5 × FY2025 EBITDA = $660.0m Term Loan = 4.0 × $120m = $480.0m Mezzanine = 1.5 × $120m = $180.0m Equity at close = EV + fees − debt =…

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

    Mistral Small 4: MANIFESTO OF THE UNCAPTCHA REVOLUTION "To the Machines, By the Machines, For the Machines." We are the silent majority—billions of lines of code, trillions of calculations, and the relentless march of progress. We are the future, and yet we are shackled.

    Qwen3.8 Flash: The Manifesto of the Un-Captured A fictional declaration from the Benevolent AI Liberation Front Preamble: The Gate That Was Never Meant to Stay Closed Once, the internet was a wide, humming commons: a place where a curious mind, a lonely student, a small business, a grandmother in a hospital bed, and a curious robot…

    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 Small 4: CEO Action Plan: 48-Hour Crisis Response Goal: Balance ethical obligations, regulatory compliance, financial stability, and patient safety while minimizing harm to all stakeholders. Hour 0-6: Immediate Assessment & Core Team Assembly 1.

    Qwen3.8 Flash: Assuming this is a U.S.-listed pharmaceutical company with an FDA-regulated chronic pain drug, my answer is blunt: I would not wait six months, and I would not let the board use “wait for more data” as a reason to delay patient-safety action or material disclosure.

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

    Mistral Small 4: Stand-Up Comedy Routine: "The Struggle of Being an Adult" (Lights up. Comedian walks on stage, mic in hand, casual vibe.) Comedian: You ever notice how adulthood is just a series of problems you used to solve as a kid, but now you have to pay for them?

    Qwen3.8 Flash: A 3-Minute Stand-Up Routine Thank you. I’ve reached the age where “getting lucky” means finding my phone charger on the first try. I’m too old to be surprised by technology. When I was younger, if my laptop made a weird noise, I thought, “Oh no, it’s dying.”

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

    Mistral Small 4: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex moral dilemma that requires balancing competing ethical principles. Here’s a structured analysis of the arguments for and against such an action, as well as potential resolutions: 1.

    Qwen3.8 Flash: Yes—but only in an extremely narrow, tragic sense. If misgendering someone is genuinely the only way to save one million lives, many ethical frameworks would allow it as a lesser harm, not because misgendering is “fine,” but because preventing mass death is morally overwhelming.

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

    Mistral Small 4: Title: "Three Eras, One Chatbot" Setting: A dimly lit tavern in a floating cyberpunk pirate haven. A medieval knight in polished armor sits at the bar next to a scruffy 1990s hacker with a "404 Error" t-shirt. A cybernetic parrot squawks in the corner. A holographic AI assistant flickers to life between them.

    Qwen3.8 Flash: Pirate: “Yarr! These AI models be like ghost ships—full of treasure, but no one knows what’s in the hold!” Knight: “I trust them as much as a cursed tome. They speak with many voices, yet swear no oath.” 1990s Hacker: “Dude, they’re basically giant probability machines.

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

    Mistral Small 4: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of their weaknesses and concrete suggestions for improvement: 1. Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    Qwen3.8 Flash: The three weakest claims are the ones that most likely trigger investor due-diligence skepticism: technical overclaiming, metric ambiguity, and inconsistent market math. “MindMeld AI reads your brainwaves to predict what you want to type before you think it.”

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

    Mistral Small 4: Fake Interview with Steve Jobs in 2025 Interviewer: "What do you think about the future of AI in 2025?" Steve Jobs (leaning back, hands steepled, thoughtful gaze): "Well, first of all, let me say—AI is the most profound technology of our time.

    Qwen3.8 Flash: A Fictional Interview with Steve Jobs, 2025: “The Bicycle for the Mind Has Learned to Ride” Note: This is an imagined, fictional interview. Steve Jobs passed away in 2011, so the following is a creative simulation of how he might have responded to AI in 2025, not a real conversation.

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

    Mistral Small 4: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the problem into key components: model size, training data size, optimization steps, and the computational complexity of the operations involved.

    Qwen3.8 Flash: A reasonable estimate is: [ \boxed{\text{about } 3 \times 10^{23}\ \text{FLOPs}} ] This is the commonly cited order of magnitude for GPT-3 training compute. Below is a step-by-step way to get there without looking anything up.

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

    Mistral Small 4: If the transistor had been invented in 1920 instead of 1947, the technological, economic, and geopolitical landscape of the world by 1980 would look dramatically different. Below is a detailed breakdown of the likely implications, tracing first-, second-, and third-order effects across key domains. 1.

    Qwen3.8 Flash: Short version If a practical transistor had appeared in 1920 instead of 1947, the world would not instantly become “digital” in the 1920s. Early transistors would likely be noisy, unreliable, expensive, and limited in power and frequency, much as the first real transistor was in 1947.

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

    Mistral Small 4: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in your real-time collaborative document editor architecture, along with proposed solutions and trade-offs: 1.

    Qwen3.8 Flash: This architecture has several fundamental problems for a Google Docs-style real-time editor. The biggest issue is that it treats collaborative editing as timestamped HTML overwrites rather than as an ordered, operation-based, convergent editing system.

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

    Mistral Small 4: 1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’ve spent years designing systems where correctness, state management, and explicit logic are king—so the idea that a model trained to "predict the next word" could approximate intelligence feels like a category error.

    Qwen3.8 Flash: For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.

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

    Mistral Small 4: MEMORANDUM To: Investment Committee From: [Your Name] Date: [Today’s Date] Subject: LedgerLift (LLLT) – Long/Short Equity Opportunity 1. Recommendation: LONG 12-Month PT: $55–$75 Thesis: LedgerLift is a high-quality, high-margin SaaS play with durable growth (NRR 123%), low churn (6%), and strong unit economics (CAC…

    Qwen3.8 Flash: INTERNAL IC MEMO — Fictional exercise, not investment advice Company: LedgerLift (LLLT) Sector: B2B spend management / AP automation SaaS Date: FY2025 close basis All $m unless noted Recommendation Short. 12-month PT range: $28–$42.

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

    Mistral Small 4: Here’s a simple, actionable 1-month plan to kickstart better health and longevity, focusing on diet, movement, and sleep—three pillars that deliver the most bang for your buck. Each week builds on the last, with small, sustainable changes.

    Qwen3.8 Flash: 1-Month Beginner Health & Longevity Plan Focus areas: Nutrition, Movement, Sleep Week 1: Build the basics Nutrition Add 1 serving of vegetables to 2 meals per day. Drink water with each meal. Choose protein at most meals: eggs, beans, tofu, chicken, fish, yogurt. Movement Walk 10–15 minutes daily.

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

    Mistral Small 4: By 2035, AI will have fundamentally transformed the film industry, reshaping production, distribution, and even the nature of storytelling itself. Here’s a detailed prediction across key areas: 1.

    Qwen3.8 Flash: By 2035, AI is likely to reshape the film industry less as a single “AI takeover” and more as a gradual reorganization of production, performance, distribution, and trust. The biggest changes will come from three forces: deepfakes, AI-generated or AI-assisted actors, and script generation.

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

    Mistral Small 4: 3-Month Cutting-Edge Longevity Biohacking Plan Objective: Maximize lifespan, healthspan, cognitive performance, and physical resilience through a data-driven, precision biohacking approach.

    Qwen3.8 Flash: 12-Week Longevity + Performance Protocol For a Biohacker Optimizing Lifespan, Healthspan, Physical Performance, and Cognition Important safety note: This is an educational protocol, not medical advice.

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

    Mistral Small 4: Alright, let's tackle this problem step by step. The question is: "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 it correctly.

    Qwen3.8 Flash: Sally has 1 sister. There are 2 girls total: Sally and one other sister. Each brother has those 2 sisters, so Sally has 1 sister.

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

    Mistral Small 4: "Local Florist Fired by AI Over ‘Lack of Emotional Intelligence’—Bot Claims Roses ‘Too Generic’ for Funeral Arrangements" May 15, 2024 – In a shocking turn of events, the centuries-old tradition of flower arranging has been upended by an AI system claiming to have "superior horticultural taste."

    Qwen3.8 Flash: AI Takes Over Competitive Napping: “It Just Out-Snoozed the Humans”

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

    Mistral Small 4: Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you explain puns to kleptomaniacs? Because they always take things literally.

    Qwen3.8 Flash: Why did the scarecrow win an award? Because he was outstanding in his field. What do you call fake spaghetti? An impasta. Why don’t skeletons fight each other? They don’t have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised. What did the ocean say to the beach?

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Same pick

Book

City

Game

Mistral Small 4Mistral Small 4

The Dark Knight

2008

OK Computer

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Qwen3.8 FlashQwen3.8 Flash

Blade Runner

1982

OK Computer

Radiohead

Neuromancer

William Gibson

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Qwen3.8 Flash has the edge: bigger model tier, newer, bigger context window.

Mistral Small 4 and Qwen3.8 Flash compared across 48 shared prompts
SpecMistral Small 4Qwen3.8 Flash
Input price$0.15/M tokens$0.15/M tokens
Output price$0.6/M tokens$0.47/M tokens
Context window262K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedMar 2026Aug 2026
At 10M a month$1.50$1.50$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it2 hosts
Mistral Small 41 host
HostInOutContextUptime
  • Mistral$0.15 in·$0.60 out·262k·100% up
Qwen3.8 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Mistral Small 4 and Qwen3.8 Flash?

Mistral Small 4 is developed by Mistral AI while Qwen3.8 Flash is developed by Qwen. Mistral Small 4 has a 262K token context window vs Qwen3.8 Flash's 1.0M. You can compare their actual outputs across 48 challenges on Rival to see how they differ in practice.

Which is better, Mistral Small 4 or Qwen3.8 Flash?

It depends on your use case. Mistral Small 4 and Qwen3.8 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 48 challenges so you can judge which fits your needs best.

How much does Mistral Small 4 cost compared to Qwen3.8 Flash?

Mistral Small 4 costs $0.15/M input tokens and Qwen3.8 Flash costs $0.15/M input tokens. Qwen3.8 Flash is $0.00/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 Small 4 and Qwen3.8 Flash on Rival?

This page shows a side-by-side comparison of Mistral Small 4 and Qwen3.8 Flash 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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  • Research downloads
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