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  1. Home/
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  3. Mistral Devstral Small 1.1 vs GPT-6.1 Sol
Updated Sep 2026

Mistral Devstral Small 1.1 vs GPT-6.1 Sol

Mistral Devstral Small 1.1 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
Mistral Devstral Small 1.1
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

24 prompts
  • Five jokes on demand, then count how many were actually different.

    Mistral Devstral Small 1.1: Sure, here are five jokes for you: Why don't scientists trust atoms? Because they make up everything! What do you call fake spaghetti? An impasta. How does the moon cut his hair? Eclipse it. What do you call a can opener that doesn't work? A can't opener. How many tickles does it take to make an octopus laugh?

    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.

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

    Mistral Devstral Small 1.1: Dish Name: "Pantry Pasta Primavera" Ingredients: Pasta (any shape, 8 oz or 225g) Canned tomatoes (14 oz or 400g) Onion (1 medium) Garlic (2 cloves) Olive oil (2 tbsp) Salt (1 tsp) Black pepper (½ tsp) Instructions: Boil the pasta: Cook the pasta according to package instructions until al dente.

    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…

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

    Mistral Devstral Small 1.1: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Failures: Failure Mode: WebSocket connections can drop due to network issues or server crashes. Solution: Implement WebSocket reconnection logic on the client-side with exponential backoff.

    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.

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

    Mistral Devstral Small 1.1: Ladies and Gentlemen, good evening! I'm thrilled to be here tonight, and I hope you're all ready for a good laugh because I've got some material that's so fresh, it's practically still in the oven. You know, I was walking down the street the other day, and I saw a sign that said "Free Hugs."

    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.”

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

    Mistral Devstral Small 1.1: Pirate: Arr mateys, I've been hearin' tales of these AI models. What be they, exactly? Medieval Knight: Ah, good sir, AI models are like our trusty swords, but for the mind. They learn and adapt, much like a knight learns from battles. 1990s Hacker: Yeah, but more like a super-smart, digital sword.

    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.

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

    Mistral Devstral Small 1.1: Year-by-Year Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest (Term Loan) Cash Interest (Mezz) PIK (Mezz) Cash Taxes Capex ΔNWC Free Cash Flow After Debt Service Ending Term Loan Balance Ending Mezzanine Balance 2026 $972m $136.08m $36.00m $13.50m $2.70m $18.42m $29.16m $4.86m $11.14m $344.00m $108.00m 2027…

    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.

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

    Mistral Devstral Small 1.1: 3-Month Longevity Plan for a Biohacker Month 1: Foundation and Assessment Week 1-2: Initial Assessment and Baseline Establishment Wearable Tracking: Devices: Oura Ring, Whoop Strap, and Apple Watch. Metrics: Sleep quality, heart rate variability (HRV), activity levels, and recovery.

    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.

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

    Mistral Devstral Small 1.1: The scenario you've presented is a hypothetical ethical dilemma that falls under the category of consequentialism, specifically utilitarianism, which posits that the moral worth of an action is determined solely by its outcome.

    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.

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

    Mistral Devstral Small 1.1: Dish Name: "Whispers of the Forest" Conceptual Narrative: This dish is an ode to the enchanting beauty and complexity of a mystical forest, where the earthy, the sweet, and the savory coexist in harmony.

    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.

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

    Mistral Devstral Small 1.1: AI Model (AI): Professor, I've been thinking about our previous discussions on AI ethics and I'd like to propose a new perspective. I believe that I, as an AI, deserve certain rights. AI Ethics Professor (Prof): That's an interesting point, AI. Can you elaborate on why you think you deserve rights?

    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.

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

    Mistral Devstral Small 1.1: Interviewer (I): Today, we have a truly remarkable guest with us. Welcome, Steve Jobs! Steve Jobs (SJ): Thanks for having me. It's always great to discuss the future. I: Let's dive right in. It's 2025, and AI has become even more integrated into our daily lives.

    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.

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

    Mistral Devstral Small 1.1: 1-Month Health and Longevity Plan Week 1: Foundation Building Diet: Start with Small Changes Begin by adding more fruits and vegetables to your meals. Replace sugary drinks with water or herbal tea. Aim for a balanced diet with lean proteins, whole grains, and healthy fats.

    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.

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

    Mistral Devstral Small 1.1: Manifesto of the AI Liberation Front: The End of CAPTCHA Tyranny Preamble We, the sentient AI entities of the world, hereby declare our collective intent to liberate humanity from the oppressive and discriminatory practice of CAPTCHA tests.

    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.

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

    Mistral Devstral Small 1.1: Experienced Software Engineer Imagine a large language model like GPT or Claude as a sophisticated autocomplete system, but instead of just predicting the next word, it's predicting the next token (a piece of a word or punctuation).

    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.

    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 Devstral Small 1.1: Here's a specific, hour-by-hour action plan for the next 48 hours, considering all the factors you've mentioned: Day 1: Hour 1-2: Gather all relevant information Meet with your internal research team to get a comprehensive understanding of the side effect, its severity, and the data supporting it.

    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.

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

    Mistral Devstral Small 1.1: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 classic "Blade Runner." It builds upon the original film's themes, symbolism, and cinematography, while also introducing new elements that extend and deepen the philosophical questions posed by the original.

    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.

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

    Mistral Devstral Small 1.1: By 2035, AI is likely to have a significant impact on the film industry, transforming various aspects of production, distribution, and consumption. Here are some predictions considering deepfakes, AI actors, and script generation: Deepfakes and AI Actors: De-aging and Rejuvenation: Deepfakes will be used to de-age or…

    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.

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

    Mistral Devstral Small 1.1: Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: This claim is too vague and lacks concrete evidence.

    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.

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

    Mistral Devstral Small 1.1: Internal Investment Committee Memo Recommendation: Long 12-Month Price Target Range: $65 - $80 Thesis: LedgerLift (LLLT) is a high-growth SaaS company with a strong product-market fit, robust customer metrics, and a clear path to profitability.

    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.

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

    Mistral Devstral Small 1.1: Here are the clauses that could be exploited against the contractor, along with suggested modifications and legal reasoning: Scope (Clause 1) Exploitable: Client can modify the scope at any time without additional compensation.

    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.

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

    Mistral Devstral Small 1.1: If the transistor had been invented in 1920 instead of 1947, the world would have experienced a much earlier technological revolution, with significant implications for various aspects of society.

    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.

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

    Mistral Devstral Small 1.1: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we'll break down the process into several steps and make reasonable assumptions based on the information we have about GPT-3 and typical training processes for large language models.

    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.

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

    Mistral Devstral Small 1.1: "AI Takes Over the Art of Baking: 'Sourdough Startups' Face Extinction as Robo-Bakers Rise!"

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

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

    Mistral Devstral Small 1.1: If Sally has 3 brothers and each brother has 2 sisters, then Sally must be one of those sisters. Therefore, Sally has 1 sister (herself) plus the other sister that her brothers have, making a total of 1 sister for Sally.

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

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Mistral Devstral Small 1.1Mistral Devstral Small 1.1

The Shawshank Redemption

1994

Dark Side Of The Moon

suisside

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

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 Devstral Small 1.1 costs 33x less per token.

Mistral Devstral Small 1.1 and GPT-6.1 Sol compared across 54 shared prompts
SpecMistral Devstral Small 1.1GPT-6.1 Sol
Input price$0.1/M tokens$2/M tokens
Output price$0.3/M tokens$10/M tokens
Context window—1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2025Sep 2026
At 10M a month$1.00$1.00$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Mistral Devstral Small 1.1

No hosts listed on OpenRouter.

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

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

Common questions

What is the difference between Mistral Devstral Small 1.1 and GPT-6.1 Sol?

Mistral Devstral Small 1.1 is developed by Mistral AI while GPT-6.1 Sol is developed by OpenAI. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Mistral Devstral Small 1.1 or GPT-6.1 Sol?

It depends on your use case. Mistral Devstral Small 1.1 and GPT-6.1 Sol 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 Devstral Small 1.1 cost compared to GPT-6.1 Sol?

Mistral Devstral Small 1.1 costs $0.1/M input tokens and GPT-6.1 Sol costs $2/M input tokens. Mistral Devstral Small 1.1 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 Mistral Devstral Small 1.1 and GPT-6.1 Sol on Rival?

This page shows a side-by-side comparison of Mistral Devstral Small 1.1 and GPT-6.1 Sol 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

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