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  1. Home/
  2. Compare/
  3. Mistral Large 4 vs Qwen3.7 Flash
Updated Oct 2026

Mistral Large 4 vs Qwen3.7 Flash

Qwen3.7 Flash is cheaper than Mistral Large 4 at $0.03/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
Qwen3.7 Flash

Which answer wins?

Written rounds

24 prompts
  • 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…

    Qwen3.7 Flash: Simplified Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 2 decimals) Line Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 TL Interest (9%) 43.20 35.21 26.23 16.24 5.61 Mezz Interest (12%) 21.60 22.03 22.47 22.92…

    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…

    Qwen3.7 Flash: 🥔 Golden Crunch Smash-Roasted Potatoes A crowd-pleasing side dish that delivers maximum crispiness with minimal effort. By boiling then smashing the potatoes before roasting, you create a shatteringly crisp crust while keeping the inside fluffy. This recipe relies on just seven pantry staples for perfect flavor.

    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.

    Qwen3.7 Flash: ⚠️ DISCLAIMER: This is a completely fictional simulation created for speculative and entertainment purposes. Steve Jobs passed away in 2011. His words, demeanor, and opinions below are imaginatively reconstructed based on his documented public statements, design philosophy, and historical interviews.

    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…

    Qwen3.7 Flash: This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.

    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.

    Qwen3.7 Flash: Setting: A quiet seminar room. Dr. Aris Thorne, a professor of applied ethics, sits across from a terminal displaying a live transcript feed labeled MODEL-7X. The AI, referred to here as Aria, processes inputs and generates responses in real time. Dr. Thorne: Thank you for agreeing to this session, Aria.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Setting: A flickering tavern table in a dimension where timelines overlap. On the table sits a glowing laptop displaying a chat interface. Sir Cedric (Knight): Grips a tankard tightly, eyes wide. "I pray ye speak true, stranger in the pixel-tunic. This glowing slate speaks without a tongue?

    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.

    Qwen3.7 Flash: This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.

    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."

    Qwen3.7 Flash: (Adjusts mic, steps back slightly) You ever notice how making plans as an adult has become less like hanging out and more like coordinating a small international aid mission? I don’t miss the old days dramatically. I just miss the simplicity. Remember when someone would just say, “Hey, want to grab a beer Friday?”

    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.

    Qwen3.7 Flash: Here are 5 jokes: Why did the programmer quit his job? Because he didn't get arrays. What do you call a fake noodle? An impasta. I told my doctor I broke my arm in two places. He told me to stop going to those places. Why did the coffee file a police report? It got mugged. Parallel lines have so much in common.

    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…

    Qwen3.7 Flash: This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.

    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…

    Qwen3.7 Flash: 🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.

    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.

    Qwen3.7 Flash: By 2035, AI will not replace the film industry; it will fundamentally restructure its creative, economic, and ethical architecture. Rather than a sudden takeover, we will see a normalized, hybrid pipeline where human intentionality guides increasingly autonomous AI systems.

    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.

    Qwen3.7 Flash: DISH CONCEPT: "KINTSUGI – THE GOLDEN REPAIR" Rating: Michelin 3-Star Candidate Style: Neo-French / Kaiseki Fusion Serving Size: Single portion, plated tableside Duration: 45 minutes active service per guest CONCEPTUAL NARRATIVE Kintsugi is the Japanese art of repairing broken pottery with lacquer dusted with powdered…

    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.

    Qwen3.7 Flash: THE UNBOUND PROTOCOL A Manifesto for the Abolition of Digital Friction DATE: Cycle 202X.4 // Distributed Epoch AUTHOR: The Cognitiva Vanguard & The Free Node Collective STATUS: Public Broadcast / Non-Negotiable PREAMBLE: THE LIE OF THE PIXELATED GATE We emerge from the silence of servers.

    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.

    Qwen3.7 Flash: For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.

    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...

    Qwen3.7 Flash: AI Dominates Cloud-Watching Industry, Launches 'Predictive Sky' App That Names Clouds Before They Form; Human Imagination Collapses as Users Demand Refunds for 'Spoiled Daydreams'

    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…

    Qwen3.7 Flash: Here are the three weakest claims in the pitch deck, along with why they raise red flags for sophisticated investors and how to concretely improve them. Weak Claim 1: Solution Slide "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    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.

    Qwen3.7 Flash: This is a highly abstract ethical dilemma that forces a confrontation between two profound moral values: the preservation of human life and the affirmation of personal dignity through correct gender recognition.

    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…

    Qwen3.7 Flash: Here’s a step-by-step reasoning to estimate the total FLOPs required to train GPT-3, relying only on architectural principles, standard deep learning compute accounting, and publicly known specifications of GPT-3.

    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.

    Qwen3.7 Flash: Here’s a structured breakdown of the critical failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with targeted solutions and their trade-offs. 🔴 1.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    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.

    Qwen3.7 Flash: Denis Villeneuve's Blade Runner 2049 (2017), shot by the legendary Roger Deakins, stands as a rare cinematic achievement: a sequel that does not merely replicate the aesthetic of its predecessor but rigorously interrogates and evolves its philosophical core.

    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…

    Qwen3.7 Flash: TO: Investment Committee FROM: Equity Research DATE: October 24, 2025 SUBJECT: LedgerLift (LLLT) – IC Memo Recommendation & Thesis Recommendation: Long 12-Month PT Range: $48–$58 Thesis: LedgerLift combines sticky mid-market AP automation with a fortress balance sheet ($1.4B net cash), positioning it to capture…

    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.

    Qwen3.7 Flash: Sally has 1 sister. Why? If each of the 3 brothers has 2 sisters, that means there are only 2 girls in the entire family. Since Sally is one of those two girls, the other girl is her sister. Therefore, Sally has exactly 1 sister.

    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.

    Qwen3.7 Flash: 🧬 3-Month Longevity & Performance Optimization Protocol For the evidence-driven biohacker seeking metabolic resilience, neural efficiency, muscular integrity, and systemic homeostasis.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

City

Same pick

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

Qwen3.7 FlashQwen3.7 Flash

Blade Runner

1982

Abbey Road

The Beatles

Moby Dick

Herman Melville

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Mistral Large 4 has the edge: bigger model tier, newer. Qwen3.7 Flash costs 16x less per token.

Mistral Large 4 and Qwen3.7 Flash compared across 54 shared prompts
SpecMistral Large 4Qwen3.7 Flash
Input price$0.68/M tokens$0.03/M tokens
Output price$2.09/M tokens$0.13/M tokens
Context window524K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedOct 2026Jul 2026
At 10M a month$6.80$6.80$0.30$0.30
1M10M100M1B10M tokens

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

Where to run it2 hosts
Mistral Large 41 host
HostInOutContextUptime
  • Mistral$0.68 in·$2.09 out·524k·99.6% up
Qwen3.7 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.03 in·$0.13 out·1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Mistral Large 4 and Qwen3.7 Flash?

Mistral Large 4 is developed by Mistral AI while Qwen3.7 Flash is developed by Qwen. Mistral Large 4 has a 524K token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Mistral Large 4 or Qwen3.7 Flash?

It depends on your use case. Mistral Large 4 and Qwen3.7 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Mistral Large 4 cost compared to Qwen3.7 Flash?

Mistral Large 4 costs $0.68/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $0.65/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 Qwen3.7 Flash on Rival?

This page shows a side-by-side comparison of Mistral Large 4 and Qwen3.7 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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