Jev 1.13

by typesafe · family jev

Facts

Release date	2026-09-15
Retired date	—
Knowledge cutoff	—
Context (max)	32,000
Max output	—
Modalities	text → text
Aliases	`jev-1.13jevjev-latest`
Open weights	no
Description	First 'System One' model (TypeSafe AI, founded by a ChatGPT co-creator): accepts natural-language state like an LLM but returns typed, calibrated decisions instead of text — choice, score, and noul (true/false + probability) primitives with confidence for act-vs-escalate. No freeform text, code, or reasoning explanations ever. Custom POST /v1/systemone protocol (state + parallel questions), not chat completions; ~70-500ms end-to-end latency. Text-only input (strings, JSON objects, arrays); 32K context. $0.042 per Mtok input, output free.

Unknown values are shown as —.

Offerings

Provider	Wire ID	Endpoint	Protocol	Status	Price (USD / Mtok)	Reasoning
OpenCode Zen	`jev-1.13-free`	systemone	systemone	ga	0.00 / 0.00	none · default off · returns hidden
OpenCode Zen	`jev-1.13`	systemone	systemone	ga	0.04 / 0.00	none · default off · returns hidden
TypeSafe AI	`jev-latest`	systemone	systemone	ga	0.04 / 0.00	none · default off · returns hidden

Reasoning controls

OpenCode Zen· jev-1.13-free· systemone none

none · default off · returns hidden

OpenCode Zen· jev-1.13· systemone none

none · default off · returns hidden

TypeSafe AI· jev-latest· systemone none

none · default off · returns hidden

Example requests

OpenCode Zen · systemone · jev-1.13-free

curl 'https://opencode.ai/zen/v1/systemone' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "jev-1.13-free",
  "state": "Tell me about the weather.",
  "questions": {
    "is_relevant": {
      "type": "noul",
      "instructions": "Does this state mention pricing or models?"
    }
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://opencode.ai/zen/v1/systemone",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "jev-1.13-free",
      "state": "Tell me about the weather.",
      "questions": {
        "is_relevant": {
          "type": "noul",
          "instructions": "Does this state mention pricing or models?"
        }
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://opencode.ai/zen/v1/systemone", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "jev-1.13-free",
    "state": "Tell me about the weather.",
    "questions": {
      "is_relevant": {
        "type": "noul",
        "instructions": "Does this state mention pricing or models?"
      }
    }
  }),
})
console.log(await resp.json())

OpenCode Zen · systemone · jev-1.13

curl 'https://opencode.ai/zen/v1/systemone' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "jev-1.13",
  "state": "Tell me about the weather.",
  "questions": {
    "is_relevant": {
      "type": "noul",
      "instructions": "Does this state mention pricing or models?"
    }
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://opencode.ai/zen/v1/systemone",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "jev-1.13",
      "state": "Tell me about the weather.",
      "questions": {
        "is_relevant": {
          "type": "noul",
          "instructions": "Does this state mention pricing or models?"
        }
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://opencode.ai/zen/v1/systemone", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "jev-1.13",
    "state": "Tell me about the weather.",
    "questions": {
      "is_relevant": {
        "type": "noul",
        "instructions": "Does this state mention pricing or models?"
      }
    }
  }),
})
console.log(await resp.json())

TypeSafe AI · systemone · jev-latest

curl 'https://api.typesafe.ai/v1/systemone' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "jev-latest",
  "state": "Tell me about the weather.",
  "questions": {
    "is_relevant": {
      "type": "noul",
      "instructions": "Does this state mention pricing or models?"
    }
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://api.typesafe.ai/v1/systemone",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "jev-latest",
      "state": "Tell me about the weather.",
      "questions": {
        "is_relevant": {
          "type": "noul",
          "instructions": "Does this state mention pricing or models?"
        }
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://api.typesafe.ai/v1/systemone", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "jev-latest",
    "state": "Tell me about the weather.",
    "questions": {
      "is_relevant": {
        "type": "noul",
        "instructions": "Does this state mention pricing or models?"
      }
    }
  }),
})
console.log(await resp.json())