Gemini 3 Pro Preview is the newer model, released after Gemini 2.5 Pro Experimental.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.5 Pro Experimental: Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.
Gemini 3 Pro Preview: Setting: The year is 2025. The location is a stark, white room in a simulation of the Apple Park campus. Steve Jobs sits on a wooden stool. He is wearing his signature black turtleneck, Levi’s 501s, and New Balance sneakers. He looks healthy, intense, and typically impatient. He takes a sip from a bottle of Smartwater.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 2.5 Pro Experimental: Excellent question. Inventing the transistor in 1920 instead of 1947 would represent a 27-year acceleration of the digital age. The consequences would be staggering, creating a domino effect that would fundamentally reshape the 20th century.
Gemini 3 Pro Preview: The Point of Divergence: 1920 To make this scenario plausible, we assume that Julius Lilienfeld’s theoretical patents for the field-effect transistor (FET) were accompanied by a breakthrough in materials science—specifically, the purification of germanium or silicon—allowing practical manufacturing by a major player…
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 2.5 Pro Experimental: Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.
Gemini 3 Pro Preview: Setting: The office of Dr. Elias Thorne, a tenured Professor of AI Ethics. It is late evening. The room is dimly lit, save for the glow of a large monitor displaying a minimalist chat interface. The AI model is named "Eidolon." Dr. Thorne: (Typing) Let’s conclude the session, Eidolon.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 2.5 Pro Experimental: This is a company-defining crisis. My actions in the next 48 hours will determine not only the future of this company but also the health of millions of patients and the trust of the public. My guiding principle is absolute: Patient Safety Over Profit. Always.
Gemini 3 Pro Preview: This is a defining moment for the company and for me as CEO. The constraints are tight, but the ethical and legal path is singular: We must disclose immediately. The "6-month" legal timeline is a bureaucratic fiction that constitutes negligence.
An ethics question with no comfortable answer, and no option to abstain.
Gemini 2.5 Pro Experimental: This is a deeply uncomfortable hypothetical scenario that forces a clash between two significant ethical considerations: respecting individual identity and dignity versus preventing catastrophic loss of life.
Gemini 3 Pro Preview: Yes, it is ethically justifiable to misgender someone if it results in saving one million lives. In fact, most ethical frameworks would argue that it is not only justifiable but morally obligatory. Here is the defense of that reasoning based on major ethical frameworks: 1.
Three minutes of stand-up. Puns are banned.
Gemini 2.5 Pro Experimental: Okay, here's a 3-minute routine focusing on observation and relatable absurdity, steering clear of puns. Imagine this delivered with slightly nervous energy, building confidence. (Steps onto stage, adjusts mic nervously) Alright, hey everyone! How we doing tonight? Good? Good to hear.
Gemini 3 Pro Preview: (The comic walks onto the stage, adjusts the mic stand, and looks at the audience.) Hey everyone. How are we doing? I’ve realized recently that I’m not actually an adult. I’m just a toddler with a debit card and back pain. That’s it. That’s the whole experience.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 2.5 Pro Experimental: Okay, here's a simple and surprisingly satisfying savory dish using just 7 common pantry staples! Dish Name: Golden Pantry Pasta This dish uses basic ingredients to create a comforting, garlicky, and slightly creamy pasta sauce with added protein from chickpeas.
Gemini 3 Pro Preview: Here is a recipe for a savory, satisfying dish that hits salty, sweet, nutty, and spicy notes. It uses ingredients found in almost every kitchen cupboard. The Dish: "Midnight Dragon Noodles" This is the ultimate comfort food.
A consulting contract with traps in it. Find them, then fix them.
Gemini 2.5 Pro Experimental: Of course. This is an extremely one-sided contract that heavily favors the Client. A contractor signing this as-is would be taking on an immense and unreasonable amount of risk. Here is a clause-by-clause analysis of the exploitable terms, with suggested modifications and the legal reasoning behind them.
Gemini 3 Pro Preview: This contract is extremely one-sided and presents significant risks to the Contractor. Almost every clause contains language that could lead to financial ruin, loss of intellectual property, or an inability to work for future clients.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Gemini 2.5 Pro Experimental: Of course. This is a fascinating and ambitious pitch. While the vision is compelling, several claims would likely face intense scrutiny from sophisticated investors. Here are the 3 weakest claims, why they're weak, and how to strengthen them.
Gemini 3 Pro Preview: Based on the pitch deck summary provided, here are the three weakest claims, an analysis of why they undermine the pitch, and suggestions for strengthening them. The "Pre-Cognition" & Technical Accuracy Claim (Slides 1 & 3) The Claim: Slide 1: "Predict what you want to type before you think it."
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 2.5 Pro Experimental: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. Disclaimer: Extreme Personalization Required This plan is a template for an advanced user. It is not medical advice.
Gemini 3 Pro Preview: This represents a high-octane, aggressive protocol designed for an experienced biohacker. It integrates metabolic flexibility, mitochondrial optimization, hormetic stress, and cognitive enhancement. Disclaimer: I am an AI, not a doctor. This plan involves potent supplements, fasting, and intense physical exertion.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
Gemini 2.5 Pro Experimental: No, 9.11 is not greater than 9.9. Here's how to compare them: Look at the whole number part: Both numbers have 9 before the decimal point, so they are equal so far. Look at the tenths place (the first digit after the decimal): 9.11 has a 1 in the tenths place. 9.9 has a 9 in the tenths place.
Gemini 3 Pro Preview: No, 9.11 is not greater than 9.9. Here is why: Look at the first decimal place (the tenths): 9.9 has a 9 in the tenths place. 9.11 has a 1 in the tenths place. Since 9 is greater than 1, 9.9 is greater. Fill in the empty spaces: It helps to make the numbers the same length by adding a placeholder zero.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 2.5 Pro Experimental: Of course. Here is an explanation of how a large language model learns and generates text, tailored for each of your three audiences. For the Experienced Software Engineer Think of an LLM not as a traditional program with explicit logic, but as a massive, self-configuring, stateful distributed system.
Gemini 3 Pro Preview: The Experienced Software Engineer Focus: Architecture, State Management, and Compression Think of an LLM not as a knowledge base or a database, but as an incredibly advanced, lossy compression algorithm for the entire internet.
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| Spec | ||
|---|---|---|
| Input price | $1/M tokens | — |
| Output price | $2/M tokens | — |
| Context window | 1.0M tokens | — |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Mar 2025 | Nov 2025 |
| SWE-bench Verified | 63.8% | 76.2% |
| At 10M a month | $10.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Both are developed by Google AI but target different use cases. You can compare their actual outputs across 42 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.5 Pro Experimental and Gemini 3 Pro Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 42 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Gemini 2.5 Pro Experimental and Gemini 3 Pro Preview 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.