Nace.AI: Drex Max vs ScaleDown: Classify-1
A side-by-side comparison of Nace.AI: Drex Max ($0.21 / 1M tokens) and ScaleDown: Classify-1 ($0.14 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Nace.AI: Drex Max | ScaleDown: Classify-1 | |
|---|---|---|
| Provider | Nace.AI | ScaleDown |
| Input | $0.21 / 1M tokens | $0.14 / 1M tokens |
| Cache read | $0.21 / 1M tokens | - |
| Context window | 262,144 | 1,000,000 |
| Max output | 235,929 | 900,000 |
| Input | text, image | text, image, file |
| Output | decisions | decisions |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 21, 2026 | Oct 13, 2026 |
Key differences
- ScaleDown: Classify-1 is 33% cheaper on input tokens.
- ScaleDown: Classify-1 reads 3.8× more context (1,000,000 tokens).
- A request with 1,000 input and 500 output tokens costs $0.000210 with Nace.AI: Drex Max and $0.000140 with ScaleDown: Classify-1.
In depth
Nace.AI: Drex Max is a model from Nace.AI, and ScaleDown: Classify-1 is a model from ScaleDown. Both sit in the decisions category, meaning their output is a decision rather than free form prose, and both were released in October 2026, with Classify-1 arriving on the 13th and Drex Max on the 21st. If you are choosing between them, the practical question is not which company is better known but which one fits the shape of the input you need to send and how much of it there is.
The clearest split is context and input types. Classify-1 accepts text, images and files, and its context window is larger, so it can take a much bigger payload in one call. Drex Max accepts text and images only, with a smaller context window, so files are not an option and long inputs have to be trimmed or split. Neither model exposes supported parameters, and neither is singled out for tools, structured output or reasoning, so those are not deciding factors here. On price, Classify-1 is the cheaper of the two on input; output pricing is not meaningfully different between them.
For day to day work, the choice follows the input. If your decision task is driven by documents, spreadsheets, PDFs or other files, Classify-1 is the natural fit because it takes files directly and holds far more context, which matters when the evidence for a decision is spread across a long document. If your task is built around text and images, such as screenshots, photos or short written prompts, Drex Max covers it and keeps you on the Nace.AI side of the gateway. Where both can handle the input, Classify-1 is the cheaper input option, so it is the sensible default unless you have a reason to prefer Drex Max.
Calling either model through api14 works the same way because the API is OpenAI compatible. You point your client at the api14 base URL, send your request in the usual chat completions shape, and set the model field to the id you want. Switching between them is a one line change: use nace-ai/drex-max for Drex Max, or scaledown/classify-1 for Classify-1. Your message structure, image parts and authentication stay as they are, so you can compare the two on your own data by changing only that string.
There is one case where Drex Max is still the better pick even though Classify-1 is cheaper on input and larger in context. If your pipeline is already built on Nace.AI, or you specifically want to stay within that provider for consistency across your other calls, Drex Max handles text and image decisions without pulling in a second vendor. It is also the newer of the two releases, which may matter if you prefer the most recent model in the category.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "nace-ai/drex-max" to "scaledown/classify-1" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.post("/decisions", { body: {
"model": "scaledown/classify-1",
"state": "Customer: I was charged twice for my order and want my money back.",
"questions": {
"team": {
"type": "choice",
"instructions": "Which team should handle this message?",
"criteria": {
"billing": "Payments, refunds, invoices",
"support": "Product questions and bugs",
"sales": "Pricing and new purchases"
}
},
"urgent": {
"type": "noul",
"instructions": "Does this need a reply today?",
"criteria": {
"true": "Money, outage or legal risk",
"false": "Can wait"
}
}
}
} });
console.log(result.answers);
More comparisons
- LiquidAI: d1 Latest vs LiquidAI: d1-ultra Latest
- LiquidAI: d1 Latest vs Baseten: Joey 1
- LiquidAI: d1 Latest vs LiquidAI: d1.1
- LiquidAI: d1 Latest vs Morph: Reflex
- LiquidAI: d1-ultra Latest vs Baseten: Joey 1
- LiquidAI: d1-ultra Latest vs LiquidAI: d1.1
- LiquidAI: d1-ultra Latest vs Morph: Reflex
- Baseten: Joey 1 vs LiquidAI: d1.1