Introducing Jev ...... Intelligence beyond chat
| Jev (TypeSafe) | 193.6x | $0.39 | |
| Claude Haiku 4.5 | 6.2x | $19.49 | |
| Claude Opus 5 | 2.1x | $176.05 | |
| Claude Sonnet 5 | 1.0x | $117.38 | |
| Gpt-5.6-Luna | 6.0x | $3.31 |
RLHF made models superhuman at talking to people. That same loop also made them overconfident, inconsistent, and hard to bury inside software. Chat is a human interface. Automation needs a machine one.
System One Models are built to be called from code. New architecture, parallel sampler, and a training method we call Reinforcement Learning for Calibrated Decisions (RLCD).
Typed outputs that software can act on.
Every decision includes how sure the model is.
Reliable, fast, and type-safe.
*based on workflows for System One tasks
Jev returns typed decisions with calibrated probabilities, so your software can act when confidence is high and escalate when it is not. Combine those decisions in ordinary code.
Per billion input tokens. Output is free.
Lower input price than a frontier chat model.
In-person in San Francisco. We want people who care about craft, calibration, and shipping intelligence that software can depend on.
System One Models are built for decisions inside software. Jev is the first public one: send structured questions, get typed answers with probabilities and confidence your code can branch on.
No. It does not generate strings. It samples typed fields in parallel, which is why it can be two orders of magnitude faster on System One shaped work.
JSON mode still writes tokens and can break the schema. Jev’s output space is defined up front. Type errors are not a sampling accident; they are not in the space.
Parallel sampling, no output tokens to bill, and a stack designed for short structured program state rather than long chat transcripts.
Classify, route, score, extract, judge, and guardrail. It is not a writer, coder, or chatbot. If you need a paragraph, use an LLM. If you need a decision, use Jev.
Yes. Calibration means it tells you when it is unsure. Set thresholds in your own code for when to act and when to ask a person.
Early access is opening in waves. Leave an email and we will move you up as seats open.