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ScaleDown: Classify-1 vs TypeSafe: Jev 1.14

A side-by-side comparison of ScaleDown: Classify-1 ($0.14 / 1M tokens) and TypeSafe: Jev 1.14 ($0.15 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	ScaleDown: Classify-1	TypeSafe: Jev 1.14
Provider	ScaleDown	TypeSafe
Input	$0.14 / 1M tokens	$0.15 / 1M tokens
Context window	1,000,000	262,144
Max output	900,000	235,929
Input	text, image, file	text, image
Output	decisions	decisions
Tool calling
Structured output
Reasoning control
Added	Oct 13, 2026	Oct 14, 2026

Key differences

Both have about the same input price.
ScaleDown: Classify-1 reads 3.8× more context (1,000,000 tokens).
A request with 1,000 input and 500 output tokens costs $0.000140 with ScaleDown: Classify-1 and $0.000147 with TypeSafe: Jev 1.14.

In depth

ScaleDown: Classify-1 is a decisions model from ScaleDown, and TypeSafe: Jev 1.14 is a decisions model from TypeSafe. Both are built to return decisions rather than free-form prose, so neither one is a general chat or writing model. They were released a day apart, with Classify-1 on 2026-10-13 and Jev 1.14 on 2026-10-14, and both sit in the same decisions category. If you are choosing between them, the meaningful differences are context size and what you can feed in, not the shape of the output.

The biggest split is the context window. Classify-1 accepts up to 1,000,000 tokens, while Jev 1.14 accepts 262,144 tokens, so Classify-1 is the one to reach for when your input is very large. Input modalities also differ: Classify-1 takes text, image and file inputs, whereas Jev 1.14 takes text and image only. Both return decisions as their sole output modality, and neither lists any supported parameters, so you should not expect tuning knobs beyond the model id and the input itself. On price, the two are about the same for input, and there is no stated difference for output, so cost is not the deciding factor here.

For practical selection, start with the input. If you are classifying or deciding over a long document, a big batch of records, or anything that needs the full million-token window, Classify-1 is the natural pick. If your task also involves file uploads rather than pasted text or images, Classify-1 is the only one of the two that lists file as an input modality. Jev 1.14 fits tasks that stay within 262,144 tokens and arrive as text or images, where the smaller window is not a constraint. Since both emit decisions and expose no parameters, the decision rule is mostly about whether your payload fits and what format it comes in.

Calling either model through api14 works the same way, because the API is OpenAI-compatible. You point your existing client at api14, send a 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 "scaledown/classify-1" for Classify-1 and "typesafe/jev-1.14" for Jev 1.14. Nothing else in your request structure needs to change, and because neither model lists supported parameters, you can keep your payload minimal and let the model id carry the choice.

There is one case where Jev 1.14 is still the better pick even though Classify-1 has the larger window and an extra input modality. If your inputs are text or images and comfortably fit inside 262,144 tokens, and you simply prefer the TypeSafe model or are already standardized on it, there is no capability reason in the facts above to move off it. The two are about the same price on input, so staying with Jev 1.14 costs you nothing extra on that side, and it returns decisions just like Classify-1. Reach for Classify-1 when size or file input forces the issue; otherwise either model is a reasonable call.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "scaledown/classify-1" to "typesafe/jev-1.14" and prompts, streaming and tools keep working.

ScaleDown: Classify-1 details & playground →TypeSafe: Jev 1.14 details & playground →

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": "typesafe/jev-1.14",
  "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

Classify-1 vs Jev 1.14: API price, context & features · api14