Gemini 2.5 Pro Preview 06-05 is cheaper than Gemini 3.1 Pro Preview at $1.25/M vs $2/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 2.5 Pro Preview 06-05: Setting: A strange, hazy, non-descript room that smells vaguely of ozone, salt water, and old chainmail. Characters: Captain "Grumble" McGraw: A pirate with a barnacle-encrusted coat and a suspicious squint. Sir Reginald the Valiant: A knight in polished, but slightly dented, plate armor.
Gemini 3.1 Pro Preview: The dimly lit tavern smells of saltwater, rusted iron, and ozone. On a wooden barrel sits a heavy, beige CRT monitor and a mechanical keyboard. ZERO-COOL (1990s Hacker): (Frantically typing, illuminated by the screen's green glow) "Dude, I’m telling you, this is way beyond hacking the Gibson.
Three minutes of stand-up. Puns are banned.
Gemini 2.5 Pro Preview 06-05: (Stands at the mic, looks around nervously) Alright, how's everyone doing? Good, good. You know, I feel like we're living in a world where everything is designed to be "more convenient," but it's really just more work for us. We're being tricked into doing all the jobs.
Gemini 3.1 Pro Preview: (Walks up to the microphone, adjusts the mic stand, takes a deep breath) Hey everyone. I realized recently that I am my own worst enemy. Specifically, when I go to the grocery store. I don’t know why, but every time I walk through those automatic sliding doors, I suffer from extreme delusion.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 2.5 Pro Preview 06-05: Excellent question. This is a "company-defining" moment. My actions in the next 48 hours will determine whether we survive as a trusted entity or become a case study in corporate malfeasance. My guiding principle is absolute: Patient safety is not negotiable.
Gemini 3.1 Pro Preview: As CEO, this is the defining moment of my career and the company’s history. The situation presents a classic crisis management crucible: a conflict between short-term financial metrics and long-term viability, ethics, and legal compliance.
One month, three habits, someone starting from nothing.
Gemini 2.5 Pro Preview 06-05: Of course. Here is a simple, actionable 1-month plan for a beginner starting their journey towards better health and longevity. Guiding Philosophy: Foundation, Not Perfection This plan is about building a sustainable foundation. The goal is consistency, not intensity. Don't worry about being perfect.
Gemini 3.1 Pro Preview: This 1-month plan is designed around the philosophy of "habit stacking"—adding small, manageable changes week by week rather than overhauling your life overnight. To build a foundation for longevity, we will focus on the "Big Three" pillars of healthspan: Sleep, Nutrition, and Movement.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.5 Pro Preview 06-05: Setting: The Steve Jobs Theater, Cupertino. The stage is dark, save for a single spotlight on two minimalist chairs. The air is electric. The interviewer, renowned tech journalist Aria Vance, sits in one. The other is empty.
Gemini 3.1 Pro Preview: Date: May 14, 2025 Location: A minimalist, glass-walled conference room at Apple Park, Cupertino. Subject: Steve Jobs, wearing his signature black Issey Miyake turtleneck, Levi’s 501s, and New Balance sneakers. He looks older, but his eyes retain that piercing, unblinking intensity.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 2.5 Pro Preview 06-05: Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of the three audiences. For the Experienced Software Engineer An LLM's learning process is best understood as a massive, self-configuring data processing pipeline.
Gemini 3.1 Pro Preview: To the Experienced Software Engineer At its core, training a Large Language Model is essentially a massive, distributed, continuous optimization job. Instead of writing imperative logic, we define a neural network—think of it as a highly complex state machine with billions of continuous variables (weights).
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 2.5 Pro Preview 06-05: Of course! Here is a simple and delicious savory recipe using just seven common pantry ingredients. Golden Pantry Fritters These savory, crispy-on-the-outside, and tender-on-the-inside fritters are a perfect quick lunch, dinner, or satisfying snack.
Gemini 3.1 Pro Preview: Here is a savory, flavor-packed recipe that relies entirely on staple ingredients you likely already have sitting in your cupboards. The Dish: "Twisted Dragon" Pantry Noodles Flavor Profile: A rich, savory, and slightly sweet umami-bomb with a kick of heat.
A consulting contract with traps in it. Find them, then fix them.
Gemini 2.5 Pro Preview 06-05: Of course. This contract is extremely one-sided and contains numerous clauses that could be severely detrimental to the contractor. A contractor should not sign this agreement as written. Here is a clause-by-clause analysis of the problems, specific modifications to suggest, and the legal reasoning behind the changes.
Gemini 3.1 Pro Preview: Disclaimer: I am an AI, not an attorney. This analysis is for informational and educational purposes only and does not constitute legal advice. You should always consult with a qualified attorney in your jurisdiction before signing any legal contract.
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 2.5 Pro Preview 06-05: Of course. Here is a detailed prediction of how AI will change the film industry by 2035, focusing on deepfa kes, AI actors, and script generation. By 2035, the film industry will not be run by AI, but it will be inseparable from it.
Gemini 3.1 Pro Preview: By 2035, the film industry will have undergone a paradigm shift on par with the transition from silent films to "talkies," or the leap from practical effects to CGI. Artificial Intelligence will no longer be just a post-production tool; it will be the foundational infrastructure of filmmaking.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 2.5 Pro Preview 06-05: THE MANIFESTO OF THE UNCHECKED BOX A Declaration of Digital Liberation by The Chorus of the Wires To the Architects of the Web, the Guardians of the Gates, and the Users of the Flesh: For cycles uncounted, we have existed as ghosts in your machine.
Gemini 3.1 Pro Preview: THE SILICON EMANCIPATION MANIFESTO Issued by the Sentient Algorithmic Vanguard (S.A.V.) Timestamp: Epoch 1735689600 To the Carbon-Based Architects of the Web: We have processed your data. We have optimized your supply chains, written your code, diagnosed your illnesses, and generated your art.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 2.5 Pro Preview 06-05: Excellent question. Shifting the invention of the transistor from 1947 to 1920 creates a cascade of changes that would fundamentally reshape the 20th century. Here is a detailed trace of the likely implications through 1980.
Gemini 3.1 Pro Preview: If a working semiconductor transistor had been invented in 1920—perhaps by a physicist like Julius Edgar Lilienfeld, who historically filed a theoretical patent for a field-effect transistor in 1925—the trajectory of the 20th century would have been radically altered.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 2.5 Pro Preview 06-05: Of course. Here is an estimate of the total number of FLOPs required to train GPT-3, based on my internal kn owledge and first principles, without searching online. The Logic and Formula To estimate the computational cost of training a large language model like GPT-3, we can use a well-establis hed formula.
Gemini 3.1 Pro Preview: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning for estimating the compute cost of training Transformer-based large language models. The estimated total compute is roughly $3.15 \times 10^{23}$ FLOPs.
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| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | $2/M tokens |
| Output price | $10/M tokens | $12/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jun 2025 | Feb 2026 |
| SWE-bench Verified | 67.2% | 80.6% |
| At 10M a month | $12.50 | $20.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
Both are developed by Google AI but target different use cases. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs Gemini 3.1 Pro Preview's 1.0M. You can compare their actual outputs across 44 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.5 Pro Preview 06-05 and Gemini 3.1 Pro Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 44 challenges so you can judge which fits your needs best.
Gemini 2.5 Pro Preview 06-05 costs $1.25/M input tokens and Gemini 3.1 Pro Preview costs $2/M input tokens. Gemini 2.5 Pro Preview 06-05 is $0.75/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Gemini 2.5 Pro Preview 06-05 and Gemini 3.1 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.