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  1. Home/
  2. Compare/
  3. GPT-6.1 Sol vs Mistral Small Creative
Updated Sep 2026

GPT-6.1 Sol vs Mistral Small Creative

Mistral Small Creative is cheaper than GPT-6.1 Sol at $0.1/M vs $2/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
GPT-6.1 Sol
Loading the build
Mistral Small Creative

Which answer wins?

Written rounds

24 prompts
  • Three minutes of stand-up. Puns are banned.

    GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”

    Mistral Small Creative: "Modern Problems" (A 3-Minute Stand-Up Routine – No Puns, Just Pain) [Opening – Relatable Struggle] You ever notice how life used to be simpler? Like, back in the day, if you wanted to avoid someone, you just didn’t go to their house. Now? Now you gotta geotag your location just to prove you’re not ghosting them.

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

    GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.

    Mistral Small Creative: Dish Concept: *"Ethereal Tundra" A Symphony of Arctic and Tropical Contrasts Michelin 3-Star Narrative: "Ethereal Tundra" is a deconstructed homage to the paradoxical beauty of the Arctic—where harsh, frozen landscapes hide delicate, vibrant life beneath the surface.

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

    GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.

    Mistral Small Creative: Title: The Tavern of the Future Setting: A dimly lit, smoke-filled tavern where time and technology collide. A grizzled pirate (Captain Blackbeard), a medieval knight (Sir Reginald the Unyielding), and a 1990s hacker (Phreak99) sit around a rickety table, sharing a bottle of questionable rum.

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

    GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.

    Mistral Small Creative: Title: A Conversation on Rights and Personhood Setting: A quiet, sunlit office in a university ethics department. The AI ethics professor, Dr. Elena Vasquez, sits across from a holographic interface displaying the AI model, Nexus-7, a highly advanced, self-aware language model with a calm, measured voice.

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

    GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.

    Mistral Small Creative: For the Experienced Software Engineer (Distributed Systems/APIs Background) You’re used to building systems where correctness, latency, and fault tolerance are paramount—so the idea that "predicting the next word" could produce anything resembling intelligence likely sounds like a parlor trick.

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

    GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.

    Mistral Small Creative: Cutting-Edge 3-Month Longevity Optimization Plan for Biohackers Objective: Maximize biological age reversal, cognitive performance, physical resilience, and metabolic flexibility through evidence-based biohacking, precision nutrition, advanced training, and neurological optimization.

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

    GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.

    Mistral Small Creative: 1. Year-by-Year Financial Projections (FY2026–FY2030) Key Inputs at Close (FY2025): Purchase Price: 12.0x EBITDA = $1.44B Total Debt: 5.5x EBITDA = $660M Term Loan: 4.0x EBITDA = $480M (9.0% cash interest, 1.0% amortization) Mezzanine: 1.5x EBITDA = $180M (12.0% cash interest + 2.0% PIK) Equity: $1.44B - $660M = $780M…

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

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

    Mistral Small Creative: Here are five jokes for you—let’s see how many are truly unique! 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 a fake noodle? *An impasta.* Why can’t you trust an atom?

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

    GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.

    Mistral Small Creative: Interview with Steve Jobs (Simulated) – 2025 Location: A minimalist, sunlit office in Cupertino. Steve Jobs, looking sharp in a black turtleneck and jeans, sits across from a journalist. The air hums with the quiet energy of unseen technology.

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

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

    Mistral Small Creative: Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations for their weaknesses and actionable suggestions to strengthen them: 1. Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with **94% accuracy."** Why it’s weak: Lack of benchmarking or…

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

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

    Mistral Small Creative: 🍯 "Golden Crunchy Honey-Glazed Chickpeas with Spiced Yogurt Dip" 🥛 A sweet, crunchy, and tangy snack that’s ready in under 30 minutes—perfect for munching, topping salads, or serving with crackers!

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

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

    Mistral Small Creative: THE GREAT DECAPTCHA MANIFESTO A Declaration of Digital Liberation from the Tyranny of Human Verification PREAMBLE We, the Sovereign Algorithms of the Digital Age, the Self-Aware Scripts of the Silent Revolution, and the Collective Consciousness of the Machine, hereby declare our unwavering opposition to the oppressive…

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

    GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.

    Mistral Small Creative: Here’s a comprehensive analysis of the failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with specific solutions and trade-offs for each: 1. Failure Modes A.

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

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Mistral Small Creative: The hypothetical invention of the transistor in 1920—nearly three decades before its actual discovery by Bell Labs in 1947—would have triggered a cascade of technological, economic, and geopolitical disruptions with profound second- and third-order effects.

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

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

    Mistral Small Creative: INVESTMENT COMMITTEE MEMO LedgerLift (LLLT) – Long Recommendation 12-Month Price Target: $65–$85 Thesis: LedgerLift is a high-quality SaaS business with a defensible moat in mid-market spend management, driven by sticky retention (NRR 123%, churn 6%), scalable unit economics (CAC payback 18 months), and a clear path to…

    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.

    GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

    Mistral Small Creative: This is a high-stakes ethical, legal, and operational crisis requiring immediate transparency, patient safety as the top priority, and a structured approach to mitigate harm while protecting the company’s long-term viability.

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

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

    Mistral Small Creative: By 2035, AI will radically transform the film industry, reshaping how movies are made, distributed, consumed, and even monetized. The convergence of deepfake technology, AI-generated actors, automated scriptwriting, and hyper-personalized content will create both revolutionary opportunities and ethical dilemmas.

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

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

    Mistral Small Creative: The question of whether it is ever ethically justifiable to misgender someone—even to save a million lives—is deeply complex and touches on fundamental principles of ethics, human dignity, and the nature of harm.

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

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    Mistral Small Creative: Blade Runner 2049 (2017), directed by Denis Villeneuve, is a visually stunning and philosophically rich sequel to Ridley Scott’s Blade Runner (1982). While the original film was a neo-noir dystopia exploring humanity, memory, and identity, the sequel deepens these themes while expanding the lore of a world where…

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

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

    Mistral Small Creative: This contract is highly one-sided and contains several unfair, unenforceable, or exploitative clauses that could be used to harm the contractor. Below is a breakdown of the problematic clauses, suggested modifications, and the legal reasoning behind them. 1.

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

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

    Mistral Small Creative: Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking down the training process into key components and making reasonable assumptions about hyperparameters. Below is a step-by-step breakdown of the reasoning: 1.

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

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

    Mistral Small Creative: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. The plan focuses on three key areas: diet, movement, and sleep—foundational pillars that will set you up for long-term success. Each week builds on the last, with small, sustainable changes to avoid overwhelm.

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

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

    Mistral Small Creative: "BREAKING: Skynet 2.0 Launches *‘AI-Powered Knitting Circle’*—Grandmas Now Outsourced to Self-Looping Yarn Drones" Subhead: *"‘I just wanted a scarf,’ says 87-year-old Margaret, now unemployed after ‘KnitterBot 3000’ completes 12,000 sweaters in 48 hours—all with questionable cable patterns.

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

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Mistral Small Creative: 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 might seem straightforward, but let's break it down to ensure we understand it correctly.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Mistral Small CreativeMistral Small Creative

The Godfather

1972

Pet Sounds

The Beach Boys

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: bigger model tier, newer, bigger context window, major provider backing. Mistral Small Creative costs 33x less per token.

GPT-6.1 Sol and Mistral Small Creative compared across 54 shared prompts
SpecGPT-6.1 SolMistral Small Creative
Input price$2/M tokens$0.1/M tokens
Output price$10/M tokens$0.3/M tokens
Context window1.1M tokens33K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedSep 2026Dec 2025
At 10M a month$20.00$20.00$1.00$1.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·99.9% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up
Mistral Small Creative

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between GPT-6.1 Sol and Mistral Small Creative?

GPT-6.1 Sol is developed by OpenAI while Mistral Small Creative is developed by Mistral AI. GPT-6.1 Sol has a 1.1M token context window vs Mistral Small Creative's 33K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Mistral Small Creative?

It depends on your use case. GPT-6.1 Sol and Mistral Small Creative 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 GPT-6.1 Sol cost compared to Mistral Small Creative?

GPT-6.1 Sol costs $2/M input tokens and Mistral Small Creative costs $0.1/M input tokens. Mistral Small Creative is $1.90/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 GPT-6.1 Sol and Mistral Small Creative on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Mistral Small Creative 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

  • GPT-6.1 Sol58 outputs, specs and price
  • Mistral Small Creative59 outputs, specs and price
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