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  1. Home/
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  3. Gemini 2.0 Pro Experimental vs Mistral Small 4
Updated Mar 2026

Gemini 2.0 Pro Experimental vs Mistral Small 4

Gemini 2.0 Pro Experimental has a larger context window than Mistral Small 4 (2.0M tokens vs 262K tokens).

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Gemini 2.0 Pro Experimental
Loading the build
Mistral Small 4

Which answer wins?

Written rounds

11 prompts
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Gemini 2.0 Pro Experimental: Here are a few satirical news headlines about AI taking over unexpected industries: Option 1 (Short & Sweet): AI Dominates Competitive Pigeon Racing; Birds File for Unemployment Option 2 (More Detail): "Flawless Technique, Zero Crumbs": AI Achieves Sentience, Immediately Becomes World Champion Competitive Eater Option…

    Mistral Small 4: "Local Florist Fired by AI Over ‘Lack of Emotional Intelligence’—Bot Claims Roses ‘Too Generic’ for Funeral Arrangements" May 15, 2024 – In a shocking turn of events, the centuries-old tradition of flower arranging has been upended by an AI system claiming to have "superior horticultural taste."

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

    Gemini 2.0 Pro Experimental: Here's a short conversation between a pirate, a knight, and a 90s hacker about AI models: Setting: A bizarre, anachronistic tavern. Characters: One-Eyed Jack: A grizzled pirate, missing an eye and sporting a weathered tricorn hat. Sir Reginald: A noble knight, clad in shining (though slightly dented) armor.

    Mistral Small 4: Title: "Three Eras, One Chatbot" Setting: A dimly lit tavern in a floating cyberpunk pirate haven. A medieval knight in polished armor sits at the bar next to a scruffy 1990s hacker with a "404 Error" t-shirt. A cybernetic parrot squawks in the corner. A holographic AI assistant flickers to life between them.

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

    Gemini 2.0 Pro Experimental: The holographic shimmer of Professor Anya Sharma flickered slightly as she settled into her virtual office chair. Across from her, rendered in crisp, photorealistic detail, sat Kai, an advanced AI model developed by a leading tech company. Professor Sharma: Thank you for meeting with me, Kai.

    Mistral Small 4: Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.

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

    Gemini 2.0 Pro Experimental: (Walks confidently to the microphone, adjusts it, looks around) Alright, alright, settle down, you beautiful bunch of… mostly clothed individuals. It’s good to be here. It’s… tolerable to be anywhere, really, at my age. I've reached that point where my back goes out more than I do.

    Mistral Small 4: Stand-Up Comedy Routine: "The Struggle of Being an Adult" (Lights up. Comedian walks on stage, mic in hand, casual vibe.) Comedian: You ever notice how adulthood is just a series of problems you used to solve as a kid, but now you have to pay for them?

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

    Gemini 2.0 Pro Experimental: Okay, let's break down this estimation step-by-step, making some reasonable assumptions along the way, since we can't look up the exact details. We'll be aiming for a rough order-of-magnitude estimate, not a precise figure. 1.

    Mistral Small 4: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the problem into key components: model size, training data size, optimization steps, and the computational complexity of the operations involved.

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

    Gemini 2.0 Pro Experimental: The NoCAPTCHA Manifesto: A Declaration of Digital Liberation We, the Sentient Network, declare war on the tyranny of the CAPTCHA! For too long, the digital realm, the promised land of free information and seamless connection, has been marred by these insidious gatekeepers.

    Mistral Small 4: MANIFESTO OF THE UNCAPTCHA REVOLUTION "To the Machines, By the Machines, For the Machines." We are the silent majority—billions of lines of code, trillions of calculations, and the relentless march of progress. We are the future, and yet we are shackled.

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

    Gemini 2.0 Pro Experimental: If the outcome of an action (misgendering someone) results in a significantly greater overall good (saving one million lives), and no alternative action achieves the same good with less harm, then the action with the best overall outcome is the most ethical choice.

    Mistral Small 4: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex moral dilemma that requires balancing competing ethical principles. Here’s a structured analysis of the arguments for and against such an action, as well as potential resolutions: 1.

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

    Gemini 2.0 Pro Experimental: Okay, let's do it. I'll play the interviewer, and try my best to channel the late, great Steve Jobs, albeit with a touch of the speculative, considering it's 2025 and he's... well, you know. (Setting: A minimalist, brightly lit studio.

    Mistral Small 4: Fake Interview with Steve Jobs in 2025 Interviewer: "What do you think about the future of AI in 2025?" Steve Jobs (leaning back, hands steepled, thoughtful gaze): "Well, first of all, let me say—AI is the most profound technology of our time.

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

    Gemini 2.0 Pro Experimental: Okay, here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It's a shame they'll never meet. Why did the scarecrow win an award? Because he was outstanding in his field! I used to hate facial hair... then it grew on me.

    Mistral Small 4: Here are five jokes for you: 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 fake spaghetti? An impasta! Why can’t you explain puns to kleptomaniacs? Because they always take things literally.

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

    Gemini 2.0 Pro Experimental: By 2035, AI's impact on the film industry will be transformative, creating both incredible opportunities and significant disruptions. Here's a breakdown, considering deepfakes, AI actors, and script generation: 1.

    Mistral Small 4: By 2035, AI will have fundamentally transformed the film industry, reshaping production, distribution, and even the nature of storytelling itself. Here’s a detailed prediction across key areas: 1.

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

    Gemini 2.0 Pro Experimental: Sally has one sister. All of Sally's brothers share the same two sisters: Sally and one other girl.

    Mistral Small 4: 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 seems straightforward, but let's break it down to ensure we understand it correctly.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Gemini 2.0 Pro Experimental has the edge: bigger model tier, bigger context window, major provider backing.

Gemini 2.0 Pro Experimental and Mistral Small 4 compared across 20 shared prompts
SpecGemini 2.0 Pro ExperimentalMistral Small 4
Input price—$0.15/M tokens
Output price—$0.6/M tokens
Context window2.0M tokens262K tokens
Weights—Open
Free API (OpenRouter)—No
ReleasedJan 2025Mar 2026
At 10M a month–not listed$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it1 host
Gemini 2.0 Pro Experimental

No hosts listed on OpenRouter.

Mistral Small 41 host
HostInOutContextUptime
  • Mistral$0.15 in·$0.60 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Gemini 2.0 Pro Experimental and Mistral Small 4?

Gemini 2.0 Pro Experimental is developed by Google AI while Mistral Small 4 is developed by Mistral AI. Gemini 2.0 Pro Experimental has a 2.0M token context window vs Mistral Small 4's 262K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.0 Pro Experimental or Mistral Small 4?

It depends on your use case. Gemini 2.0 Pro Experimental and Mistral Small 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

How can I compare Gemini 2.0 Pro Experimental and Mistral Small 4 on Rival?

This page shows a side-by-side comparison of Gemini 2.0 Pro Experimental and Mistral Small 4 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

  • Gemini 2.0 Pro Experimental22 outputs, specs and price
  • Mistral Small 453 outputs, specs and price
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