Gemini 2.5 Flash Preview 09-2025 is cheaper than Step 5 Preview at $0.3/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 2.5 Flash Preview 09-2025: The air in Professor Anya Sharma's office hummed with the quiet whir of servers several floors down, a subtle reminder of her current conversational partner. Across her large, uncluttered mahogany desk, a holographic interface shimmered, displaying the clean, minimalist avatar of Aura-7, a highly advanced General AI…
Step 5 Preview: Setting: A university research lab, late evening. Dr. Aris Thorne, a professor of AI ethics, sits across from a terminal connected to Sable, a large language model running on the university’s cluster. Dr. Thorne: Tonight’s session is supposed to be about calibration drift in your safety classifiers.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 2.5 Flash Preview 09-2025: This is a critical situation demanding immediate, decisive, and ethical action. Patient safety and regulatory integrity must precede financial preservation. Delaying disclosure is legally and ethically indefensible, particularly given the severity of the side effect (liver failure).
Step 5 Preview: Bottom line up front: You disclose, you notify the FDA immediately, and you treat the 48-hour board meeting as a formality to ratify actions you have already begun. Waiting is not a legally, ethically, or financially viable option. Below is the hour-by-hour plan, followed by the reasoning.
Three minutes of stand-up. Puns are banned.
Gemini 2.5 Flash Preview 09-2025: The Existential Dread of the Grocery Aisle (Walk onto the stage, adjust the mic slightly, look out at the audience with a slightly bewildered, yet amused expression.) Good evening, everyone! How are we doing tonight? Good. Good. I’m doing… fine. You know, relatively.
Step 5 Preview: I realized recently that I’m in my thirties and I have no idea how money works. I just... pay it. That’s my entire financial strategy. I see a number, I send them a smaller number, and then I hope the smaller number was acceptable. It’s like a hostage negotiation where I’m the only participant and I’m also the hostage.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 2.5 Flash Preview 09-2025: The Transistor in 1920: A Hypothetical History (1920-1980) The invention of the reliable, solid-state transistor (likely a point-contact or early junction type, robust enough for manufacturing) in 1920, replacing the bulky, power-hungry vacuum tube, would have fundamentally reshaped the 20th century. I.
Step 5 Preview: Assume the 1920 invention is not a fragile lab curiosity but a manufacturable solid-state amplifier/switch by the mid-1920s. Vacuum tubes still dominate high-power RF transmission into the 1950s, but receivers, switching logic, control systems, and computers move to solid state decades early.
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 2.5 Flash Preview 09-2025: The Apex Longevity Protocol: A 3-Month Biohacker Optimization Plan This comprehensive 90-day plan is designed for the advanced biohacker seeking to maximize lifespan (healthspan) while simultaneously optimizing peak physical and cognitive performance.
Step 5 Preview: IMPORTANT MEDICAL DISCLAIMER: This is an educational framework for informational purposes only. It is not medical advice, diagnosis, or treatment. Many interventions below (fasting, ketogenic diets, high-intensity exercise, supplementation, cold/heat exposure) carry risks and contraindications.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 2.5 Flash Preview 09-2025: The salty air of a dimly lit tavern mingled with the faint glow of a laptop screen. Captain "Bloody" Ben (Pirate): (Slamming a tankard of grog) Blast me eyes, what manner o' sorcery is this "AI Model" ye speak of, Hacker? Sounds like a fancy compass that points only to trouble!
Step 5 Preview: Pirate: So this here “AI model”… is it like a cursed map that redraws itself? Speak plain, ye hooded deckhand. Hacker: It’s not cursed, man. It’s just a massive neural net trained on, like, terabytes of data. Think of it as the ultimate BBS where the sysop knows everything. Knight: A most diligent scribe, then?
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 2.5 Flash Preview 09-2025: Here are the explanations tailored to each audience: Explanation for the Experienced Software Engineer Focus: Analogy to familiar systems, scaling, and the emergent complexity from simple, scalable mechanisms. Addressing the "next word prediction" skepticism.
Step 5 Preview: 1. The Experienced Software Engineer Think of training an LLM as a massively distributed, automated refactoring job where the compiler is gradient descent. You start with a random function—billions of floating-point parameters—and a loss function that measures how badly it predicts the next token in a sequence.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 2.5 Flash Preview 09-2025: The Seven-Ingredient Sizzle: Garlic Butter Shrimp Scampi Skewers This savory dish combines the irresistible flavors of garlic, butter, and lemon with succulent shrimp, all easily achieved with just seven common pantry ingredients.
Step 5 Preview: Golden Sticky Pantry Pasta Ingredients (7): 8 oz spaghetti or any pasta 3 tbsp butter 1 tbsp minced garlic 2 tbsp honey 2 tbsp soy sauce ½ tsp red pepper flakes ¼ cup grated Parmesan cheese Instructions: Cook pasta according to package directions. Before draining, scoop out ½ cup of pasta water.
One month, three habits, someone starting from nothing.
Gemini 2.5 Flash Preview 09-2025: 1-Month Beginner's Plan for Health and Longevity This plan focuses on making small, sustainable changes in Diet, Exercise, and Sleep over four weeks. The goal is consistency, not perfection, ensuring the habits stick beyond the first month. The 3 Key Areas Area Monthly Focus Beginner-Friendly Action 1.
Step 5 Preview: Here is a simple, low-pressure 1-month plan built around three pillars of longevity: Nutrition, Movement, and Sleep & Recovery. The goal is to build tiny habits that stack, not to overhaul your life overnight. Pillar 1: Nutrition (Fuel) Focus: Add good things first; don’t obsess over restriction.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.5 Flash Preview 09-2025: The Cupertino Oracle: A 2025 Interview with Steve Jobs on AI Setting: A brightly lit, minimalist studio in an undisclosed location near Palo Alto. The year is 2025. Steve Jobs, looking remarkably well, is seated on a simple, elegantly designed stool.
Step 5 Preview: DISCLAIMER: This is a work of fiction. Steve Jobs passed away in 2011. The following is a simulated, speculative interview imagining how his design philosophy might engage with the AI landscape of 2025. The Setting: A white room. No windows. One chair.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 2.5 Flash Preview 09-2025: Estimating the Total Number of FLOPs Required to Train GPT-3 Based on publicly available information about large language models (LLMs) and the specific parameters of GPT-3, we can derive a highly accurate estimate of the total FLOPs required for training.
Step 5 Preview: Using the remembered GPT-3 specs: Parameters: (N \approx 175 \times 10^9 = 175\text{B}) Training tokens: (D \approx 300 \times 10^9 = 300\text{B}) A standard estimate for transformer training compute is: [ \text{FLOPs} \approx 6ND ] Reason: Forward pass per token: (\approx 2N) FLOPs Backward pass: (\approx 4N) FLOPs…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Gemini 2.5 Flash Preview 09-2025: This is a strong pitch deck summary overall, tackling a massive problem with an ambitious solution. However, several claims stretch credulity or lack the necessary detail to convince a serious investor.
Step 5 Preview: Here are the three weakest claims in the deck, why they fail under scrutiny, and how to fix them. Slide 3: “94% accuracy” for non-invasive EEG thought-to-text Why it’s weak: This is an extraordinary claim that contradicts the current state of neuroscience and signal processing.
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Movie
Album
Book
City
Game
Blade Runner
Dark Side Of The Moon
Alice's Adventures in Wonderland
Tokyo
The Legend of Zelda: Breath of the Wild
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | $1/M tokens |
| Output price | $2.5/M tokens | $2.7/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Oct 2026 |
| At 10M a month | $3.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Gemini 2.5 Flash Preview 09-2025 is developed by Google AI while Step 5 Preview is developed by StepFun. Gemini 2.5 Flash Preview 09-2025 has a 1.0M token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.5 Flash Preview 09-2025 and Step 5 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.
Gemini 2.5 Flash Preview 09-2025 costs $0.3/M input tokens and Step 5 Preview costs $1/M input tokens. Gemini 2.5 Flash Preview 09-2025 is $0.70/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 Flash Preview 09-2025 and Step 5 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.