Jev
PreviewTypeSafe AI's first "System One" model, released Sep 15 2026 in early access. Jev is built for automation workflows rather than chat or copiloting: it maps unstructured state to typed probabilistic decisions and emits parallel structured outputs (JSON / tool calls), trained with what TypeSafe calls Reinforcement Learning for Calibrated Decisions (RLCD). The company frames it as a "frontier-intelligence function call" — unstructured input in, calibrated decisions out — aimed at agents, classification, and tool use. Proprietary with conditional commercial use; weights are not released and the context window was not disclosed at launch. Served on a single TypeSafe AI serverless route priced at $0.042 per 1M input tokens with output free at launch. Not intended for vision or document-understanding workloads. Figures are vendor-reported and unverified by an independent harness at launch.
Specifications
- License
- Proprietary · Proprietary (commercial use conditional)
- Weights
- Not released
- Architecture
- unknown
- Parameters
- Undisclosed
- Context window
- — tokens
- Max output
- —
- Knowledge cutoff
- —
- Price (in / out, $/M)
- $0.042 / $0
- Modalities
- Text
Benchmarks
No benchmark scores recorded yet. Spotted some? Submit a correction.
Vendor-reported figures are claims until independently verified. See methodology.