Nace.AI: Drex v2.0 vs TypeSafe: Jev 1.14
A side-by-side comparison of Nace.AI: Drex v2.0 ($0.21 / 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
| Nace.AI: Drex v2.0 | TypeSafe: Jev 1.14 | |
|---|---|---|
| Provider | Nace.AI | TypeSafe |
| Input | $0.21 / 1M tokens | $0.15 / 1M tokens |
| Context window | 131,072 | 262,144 |
| Max output | 117,964 | 235,929 |
| Input | text | text, image |
| Output | decisions | decisions |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 12, 2026 | Oct 14, 2026 |
Key differences
- TypeSafe: Jev 1.14 is 30% cheaper on input tokens.
- TypeSafe: Jev 1.14 reads 2.0× more context (262,144 tokens).
- A request with 1,000 input and 500 output tokens costs $0.000210 with Nace.AI: Drex v2.0 and $0.000147 with TypeSafe: Jev 1.14.
In depth
Nace.AI: Drex v2.0 is a decisions model from Nace.AI, and TypeSafe: Jev 1.14 is a decisions model from TypeSafe. Both sit in the same category, so they are aimed at the same broad job: taking an input and returning a decision rather than free form prose. Drex v2.0 was released by its provider on 2026-10-12, and Jev 1.14 followed on 2026-10-14. Neither model exposes any supported parameters, so you cannot tune sampling behaviour, temperature or similar knobs through the API. What you send and what you get back is fixed by the model.
The clearest split is context and input modality. Jev 1.14 accepts text and images as input, while Drex v2.0 accepts text only. Both return decisions as output, so neither produces text or images back. Jev 1.14 also has the larger context window at 262144 tokens against 131072 for Drex v2.0, which is roughly double. In the qualitative comparison, Jev 1.14 is the cheaper side for input pricing, and output pricing is about the same between the two. There is no meaningful difference recorded for tool use, structured output or reasoning, so you should not assume one model has an edge there.
For a developer choosing between them, the decision usually comes down to what you are feeding in. If your task is pure text and fits comfortably inside 131072 tokens, Drex v2.0 is a reasonable default, and it is the model to reach for when you want the Nace.AI line specifically. If you need to pass images alongside text, or your prompt and history routinely run past the smaller window, Jev 1.14 is the one that can take it. The larger context also helps when you want to keep long documents, transcripts or accumulated state in a single call instead of chunking. Because input is the cheaper side on Jev 1.14, image or long text workloads lean that way on cost as well, though output cost is about the same for both.
Calling either model through api14 works the same way, because the gateway exposes an OpenAI-compatible API. You point your existing OpenAI client at api14, keep your usual request shape, and set the model field to the id you want. For Drex v2.0 that is "nace-ai/drex-v2.0", and for Jev 1.14 it is "typesafe/jev-1.14". Switching between them is a one line change to that id, nothing else in the request needs to move. The live price table on the page shows the current numbers for each, so check it before you commit to a high volume path.
There are still cases where Drex v2.0 is the better pick even though Jev 1.14 has the larger window and image input. If your workload is text only, fits in the smaller context, and you specifically want the Nace.AI model, there is no capability reason to move to Jev 1.14. The two are otherwise close on the qualitative fields, with no recorded difference in tool use, structured output or reasoning, so the choice is mostly about input type, context size and which provider you prefer to depend on.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "nace-ai/drex-v2.0" to "typesafe/jev-1.14" 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": "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);
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