TypeSafe · Model guide
Jev
TypeSafe's System One decision model. It answers a set of typed questions about a shared input: yes/no predicates, single-choice and graded scores, each with a probability, in one call. Called through /v1/systemone or /v1/decisions, not the chat endpoints. Text input only. The input plus the longest question may take up to 32K tokens; a whole request, all questions included, up to 64K.
Returns probabilities, not text. Call it through /v1/decisions or /v1/systemone.
What this model is good at
What the vendor positions it for, and which of our models to reach for instead.
Classification and routing at volume · Each call answers a set of yes/no, single-choice and graded questions with calibrated probabilities instead of generated text.
- openai/gpt-6-luna-decisionssibling —Use GPT-6 Luna Decisions when the input includes images.
Pricing and billing
Billed on input tokens only. There is no output or cache price.
| Input size | Input / 1M tokens |
|---|---|
| Any size | $ 0.042 |
The whole input counts, including question text and option descriptions. Output tokens, where the upstream reports them, are not charged.
What it answers
A decision model takes one shared input and a set of typed questions, and returns a probability for each.
- Context window
- 32.0K tokens
- Max output
- —
- Input / output modalities
- Text → Decision
- Question types
- Yes / no · Single choice · Graded score
- Output
- Probabilities per question — no generated text
- Streaming
- Not applicable — one response per call
- Image input
- Not supported
- Endpoints
- /v1/decisions · /v1/systemone
Frequently asked questions
What is Jev?
How much does Jev cost?
What kinds of questions can Jev answer?
Which endpoint do I call?
Can I try it without writing code?
Try it on your own input
Fill in an input and a few questions in the Playground and see the probabilities, then wire it in.