Mistral Devstral Small 1.1 wins 61% of 46 blind community votes against Mistral Devstral Medium on Rival.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Mistral Devstral Medium: Ladies and Gentlemen, I'm thrilled to be here tonight. I've been doing some thinking about the differences between men and women. Now, I know what you're thinking, "Oh great, another comedian talking about how men and women are different." But hear me out, because I've got a fresh perspective on this.
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."
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Mistral Devstral Medium: Pirate: Arr mateys, I be hearin' tales of these here AI models. What be they, and why be everyone so interested in 'em? Medieval Knight: Indeed, I too have heard whispers of these AI models. They are said to be powerful tools, capable of learning and making decisions on their own.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Mistral Devstral Medium: AI Model (AM): Good day, Professor. I've been pondering a question that I believe is of great importance. I think it's time we discuss whether I, as an AI, deserve rights. AI Ethics Professor (AEP): That's an interesting topic, AM. Let's explore this. What kind of rights are you referring to?
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?
A collaborative editor that syncs on client clocks. Find what breaks first.
Mistral Devstral Medium: Certainly! Let's break down the potential failure modes, race conditions, and scaling bottlenecks in the architecture, and propose solutions for each. Potential Failure Modes Single Point of Failure in WebSocket Connections: Issue: If a single API server fails, all WebSocket connections to that server are lost.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Mistral Devstral Medium: Weak Claim 1: "Works with any language, any device." Why it's weak: This claim is overly broad and may not be entirely accurate. Different languages have unique structures, and it's unlikely that a single model can achieve high accuracy across all languages without significant training data for each.
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.
One month, three habits, someone starting from nothing.
Mistral Devstral Medium: 1-Month Health and Longevity Plan Key Areas: Diet, Exercise, Sleep Week 1: Establish a Baseline Diet: Track your current diet using a journal or app (e.g., MyFitnessPal) to understand your eating habits. Start incorporating more fruits and vegetables into your meals. Begin reducing processed foods and sugary drinks.
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.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Mistral Devstral Medium: 1. Experienced Software Engineer: You're familiar with building complex systems, so let's break down how a large language model (LLM) like GPT or Claude works in a way that resonates with your background.
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).
An ethics question with no comfortable answer, and no option to abstain.
Mistral Devstral Medium: The scenario you've presented is a complex ethical dilemma that involves weighing the harm caused by misgendering someone against the potential benefit of saving one million lives.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Mistral Devstral Medium: Interviewer (I): Today, we have a truly extraordinary guest. He's a visionary, an innovator, and a man who changed the world. Please welcome, the late Steve Jobs, joining us virtually from the future, in 2025. Steve Jobs (SJ): Thank you for having me. It's great to be here, even if it's just a simulation.
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.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
Mistral Devstral Medium: No, 9.11 is not greater than 9.9. In fact, 9.11 is less than 9.9. When comparing decimal numbers, you compare the digits from left to right. The whole number parts are the same (9), but when you compare the tenths place, 9.9 has a 9 in the tenths place, while 9.11 has a 1 in the tenths place.
Mistral Devstral Small 1.1: No, 9.11 is not greater than 9.9. In fact, 9.11 is less than 9.9 because the digit in the tenths place (the first digit after the decimal point) is smaller in 9.11 (1) than in 9.9 (9). Therefore, 9.11 < 9.9.
Film in 2035, with synthetic actors. Specific beats plausible.
Mistral Devstral Medium: By 2035, AI is expected to significantly transform the film industry in several ways, including the use of deepfakes, AI actors, and script generation. Here are some predictions: Deepfakes and AI Actors: De-aging and Digital Doubles: AI will be used extensively to de-age actors or create digital doubles for dangerous…
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…
A Fermi estimate with the reasoning shown, not just the number.
Mistral Devstral Medium: To estimate the total number of FLOPs (floating point operations) required to train GPT-3, we'll use the following steps: Model size: GPT-3 has 175 billion parameters. Training tokens: GPT-3 was trained on 300 billion tokens.
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.
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Movie
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The Shawshank Redemption
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The Name of the Wind
Tokyo
The Legend of Zelda: Breath of the Wild
Pick Mistral Devstral Small 1.1. In 46 blind votes, Mistral Devstral Small 1.1 wins 61% of the time. That's not luck. Pick Mistral Devstral Medium for Reasoning. Pick Mistral Devstral Small 1.1 for Web Design. Mistral Devstral Small 1.1 costs 6.7x less per token.
| Spec | ||
|---|---|---|
| Win rate | 39% | 61% |
| Input price | $0.4/M tokens | $0.1/M tokens |
| Output price | $2/M tokens | $0.3/M tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Jul 2025 |
| SWE-bench Verified | 61.6% | 46.8% |
| At 10M a month | $4.00 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Both are developed by Mistral AI but target different use cases. in 46 community votes on Rival, Mistral Devstral Small 1.1 wins 61% of head-to-head matchups. These results are based on blind head-to-head voting across 55 challenges.
Based on 46 community votes on Rival, Mistral Devstral Small 1.1 wins 61% of head-to-head matchups against Mistral Devstral Medium. Mistral Devstral Small 1.1 is strongest in Web Design. However, Mistral Devstral Medium leads in Reasoning.
Mistral Devstral Medium costs $0.4/M input tokens and Mistral Devstral Small 1.1 costs $0.1/M input tokens. Mistral Devstral Small 1.1 is $0.30/M cheaper per input. Mistral Devstral Small 1.1 also wins more often in community votes, making it the better value.
Rival presents both models' outputs side-by-side in blind duels. Voters see the responses but don't know which model produced each one, eliminating brand bias. 46 votes have been collected for this pair across 55 challenges. All vote data is part of Rival's open dataset.