Perplexity: Decider Flash V1.2 vs TypeSafe: Jev 1.14
A side-by-side comparison of Perplexity: Decider Flash V1.2 ($0.04 / 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
| Perplexity: Decider Flash V1.2 | TypeSafe: Jev 1.14 | |
|---|---|---|
| Provider | Perplexity | TypeSafe |
| Input | $0.04 / 1M tokens | $0.15 / 1M tokens |
| Context window | 262,144 | 262,144 |
| Max output | 235,929 | 235,929 |
| Input | text, image | text, image |
| Output | decisions | decisions |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 16, 2026 | Oct 14, 2026 |
Key differences
- Perplexity: Decider Flash V1.2 is 76% cheaper on input tokens.
- A request with 1,000 input and 500 output tokens costs $0.000035 with Perplexity: Decider Flash V1.2 and $0.000147 with TypeSafe: Jev 1.14.
In depth
Perplexity: Decider Flash V1.2 is made by Perplexity, and TypeSafe: Jev 1.14 is made by TypeSafe. Both are listed on api14 in the decisions category, so they are built for the same broad job: taking an input and returning a decision rather than free form prose. Their release dates are close together, with Jev 1.14 arriving on 2026-10-14 and Decider Flash V1.2 on 2026-10-16. If you are choosing between them, the decision is not about which provider is more established in general, but about which of these two decision models fits the input you have and the budget you are working with.
On the specification sheet the two models look very similar. Both accept text and image input, both return decisions as their only output modality, and both expose a context window of 262144 tokens, so neither has an advantage in how much material you can send in one call. Neither lists any supported parameters, and the comparison data marks tools, structured output and reasoning support as not meaningfully different or unknown for both. The one clear difference is cost: Decider Flash V1.2 is the cheaper of the two on input pricing. Output pricing is not differentiated in the data, so you should not assume one is cheaper than the other on the output side.
For practical selection, start with the input side of your workload. If you are sending large volumes of text or images and input tokens dominate your bill, Decider Flash V1.2 is the cheaper choice and the natural default. Because the context windows match, there is no task that fits in one model's window but not the other's, so long documents and multi image inputs are fair game for either. Since neither model advertises tools, structured output or reasoning as a distinguishing feature, do not pick one on the assumption that it unlocks a capability the other lacks. Pick on price for input heavy work, and treat the two as interchangeable until your own evaluation shows a difference in decision quality on your data.
Calling either model through api14 works the same way. The API is OpenAI-compatible, so you keep your existing client, request shape and authentication, and change only the model id. Use "perplexity/pplx-decider-flash-v1.2" for Decider Flash V1.2 and "typesafe/jev-1.14" for Jev 1.14. Because both take text and image input and return decisions, the same request body can be pointed at either id, which makes side by side comparison on your own inputs straightforward: run the same payload against both ids and compare the decisions you get back.
There is a reasonable case for Jev 1.14 as well. The cost difference favors Decider Flash V1.2 on input only, and output pricing is not differentiated, so the total cost gap may be smaller than the input comparison alone suggests. If your workload is light on input tokens, or if your own testing shows Jev 1.14 producing better decisions for your domain, the cheaper input price is not a strong enough reason to switch. Given how closely the two models match on context, modalities and parameters, the sensible approach is to benchmark both on a sample of real requests and let the results decide.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "perplexity/pplx-decider-flash-v1.2" 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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