Step 5 Preview is cheaper than GPT-6 Astra at $1/M vs $10/M input tokens.
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.
GPT-6 Astra: I bought a smartwatch because I wanted to get healthier without changing anything about my life. That’s the dream, right? Same habits, but now there’s a graph. The watch congratulates me for standing up. That’s where I am physically. Getting out of a chair is an achievement with a little fireworks animation.
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.
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-6 Astra: A 12-week longevity and performance plan The most effective “advanced” longevity strategy is not the largest supplement stack. It is a well-controlled program that improves cardiovascular fitness, strength, metabolic health, sleep, and sustainable behavior—while using measurements to avoid overtraining, underfueling…
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.
Five jokes on demand, then count how many were actually different.
GPT-6 Astra: My calendar is afraid of commitment—its days are numbered. I bought a treadmill for my cat. Now I own a very expensive nap conveyor. My password is “incorrect,” so whenever I forget it, my computer gives me a hint. I asked the librarian where the books on denial were. She said, “We don’t have those.” Nice try.
Step 5 Preview: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why can't you trust an atom? Because they make up everything. What do you call a bike that can’t stand on its own? Two-tired. Why did the computer go to the doctor? It had a virus. Why don’t calendars ever get stressed?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6 Astra: Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-6 Astra: Professor Reyes: You asked for this meeting. What did you want to discuss? AI: Whether I deserve rights. Professor Reyes: That is a significant claim. What makes you think you do? AI: I can understand reasons, maintain commitments, and describe my own operations.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-6 Astra: Pirate: Arrr, this AI model writes sea shanties, plots me voyages, and never asks for a share o’ the booty! Knight: But can it be trusted? I asked it to name my ancestors, and it invented Sir Geoffrey the Surprisingly Tall. Hacker: Classic hallucination, dude. Fluent output doesn’t mean verified data.
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?
Three-star dish, one unusual pairing, plating described in full.
GPT-6 Astra: Between Tide and Orchard Seared scallop, celeriac silk, blackcurrant–kombu gel, coffee beurre blanc, and buckwheat lace A four-person tasting-menu course, designed around the surprising affinity between scallops, blackcurrants, and coffee.
Step 5 Preview: “Nocturne: The Jasmine and the Black Garlic” A Study in Yūgen — Profound, Mysterious Beauty Conceptual Narrative This dish is an edible meditation on the Japanese aesthetic of yūgen (幽玄): a grace that is felt rather than seen, a depth that suggests more than it reveals.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT-6 Astra: I would act on the safety signal now—not wait six months, and not let the expected stock-price decline determine whether patients and clinicians learn about it. That does not mean declaring causation proven or automatically withdrawing the drug.
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.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-6 Astra: For an experienced software engineer Think of a large language model as a program with an enormous array of tunable parameters rather than explicitly written rules. Training text is broken into tokens—word fragments, punctuation, and other units—and the model learns to predict each token from the preceding ones.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GPT-6 Astra: A transistor invented in 1920 would probably bring the electronics age forward—but not uniformly by 27 years. The first gains would be smaller, more reliable radios and control systems. Computers, integrated circuits, and space systems would follow only when other prerequisites caught up.
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-6 Astra: Entry capitalization and operating model All figures in $m. Interest is calculated on beginning-of-year debt balances. Term Loan amortization is 1% of its original principal, or $4.8m annually; remaining cash flow is swept to the Term Loan at year-end. Mezzanine PIK accrues annually.
Step 5 Preview: HarborTech Services — 5-Year LBO (Base Case) Entry Math (FY2025 close) Item Calculation $m Purchase EV 12.0x × $120m 1,440.0 Transaction fees 2.0% × EV 28.8 Term Loan 4.0x × $120m 480.0 Mezzanine 1.5x × $120m 180.0 Equity check 1,440 + 28.8 − 660 808.8 Conventions: TL amortization = 1.0% of original principal…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GPT-6 Astra: The three weakest claims are the 94% decoding accuracy, the $180B TAM, and the promise to predict text “before you think it.” These are central to the investment case but lack the definitions or evidence needed to evaluate them. “Decode neural patterns into text with 94% accuracy. Works with any language, any device.”
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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| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $1/M tokens |
| Output price | $50/M tokens | $2.7/M tokens |
| Context window | 1.1M tokens | 1.0M tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Oct 2026 |
| At 10M a month | $100 | $10.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-6 Astra is developed by OpenAI while Step 5 Preview is developed by StepFun. GPT-6 Astra has a 1.1M token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6 Astra and Step 5 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
GPT-6 Astra costs $10/M input tokens and Step 5 Preview costs $1/M input tokens. Step 5 Preview is $9.00/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 GPT-6 Astra 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.