Mistral Devstral Medium is the newer model, released after Grok 3 Thinking.
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.
Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?
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.
Grok 3 Thinking: To determine whether 9.11 is greater than 9.9, let's compare the two numbers step by step. Both numbers share the same whole number part, which is 9. Therefore, the comparison hinges on the fractional parts. For 9.11, the fractional part is 0.11, and for 9.9, it is 0.9.
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?
Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.
Five jokes on demand, then count how many were actually different.
Mistral Devstral Medium: 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?
Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.
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.
Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.
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.
Grok 3 Thinking: To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.
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…
Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.
Not enough votes to call it. On the specs, Grok 3 Thinking has the edge: bigger model tier, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $0.4/M tokens | — |
| Output price | $2/M tokens | — |
| Context window | — | 128K tokens |
| Free API (OpenRouter) | No | — |
| Released | Jul 2025 | Feb 2025 |
| At 10M a month | $4.00 | not listed |
Input tokens at list price. No caching, no batch discount.
Mistral Devstral Medium is developed by Mistral AI while Grok 3 Thinking is developed by xAI. You can compare their actual outputs across 14 challenges on Rival to see how they differ in practice.
It depends on your use case. Mistral Devstral Medium and Grok 3 Thinking each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 14 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Mistral Devstral Medium and Grok 3 Thinking 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.