Jev
Jev is worth evaluating for agents, classification, and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating agents, classification, and json / tool use
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Family
- System One
- Released
- 2026-09-15
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Reinforcement Learning
Cheapest of 1 route · TypeSafe AI
About
Jev is TypeSafe AI's first System One model, released September 15, 2026 in early access. Built for automation workflows, Jev maps unstructured state to typed probabilistic decisions with parallel structured outputs, trained with Reinforcement Learning for Calibrated Decisions (RLCD). TypeSafe positions Jev as a frontier-intelligence function call—unstructured input in, calibrated decisions out—rather than a general chat or copilot model.
Top use-case fit: coding, agents, and build tasks
Agents
Included by capability and metadata signals in the decision map.
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| TypeSafe AI | $0.042 | Free | Serverless |
Capabilities
Benchmark peer barsfor Agents
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
jevCheapest of 1 route · TypeSafe AI