01
Categorical decision
Choice
Pick one answer from a declared set and receive the probability distribution across every option.
billing · technical · sales
Independent Jev planning tool
Jev System-1 model cost & latency calculator
Calculate how much you could save using TypeSafe Jev at $0.042 per million input tokens and $0 output—compared with generative LLMs for classification, routing, and scoring.
$0.042
per 1M input tokens
$0
metered output cost
70–230ms
published latency range
Interactive cost model
Put your classifier workload on the scale.
Change volume, context, and model assumptions. Every figure updates instantly in your browser.
Tickets, messages, records, or agent decisions per day.
1K10M
Input state plus the longest typed question, in tokens.
5032K
JSON, labels, rationale, and parsing overhead per request.
04K
Assumption: 30 days/month. Jev is priced at $0.042 per million input tokens with no metered output-token charge.
Estimated monthly impact
Jev vs GPT-4o
1.5B input tokens
Monthly savings
$5,187.00
Estimated avoided model spend
Cost reduction
98.8%
Compared with the selected baseline
Speed increase
~10×
Illustrative midpoint comparison
Monthly model cost
USD / MONTHJev$63.00
GPT-4o$5,250.00
Jev latency
70–230ms
GPT-4o
800–2,500ms
Build on top of the decision layer
Need enterprise confidence routing, audit logs, and a fallback gateway?
Join the early-access list for production tooling around Jev and generative-model fallbacks. This MVP stores nothing yet.
Jev vs traditional LLMs
A decision engine, not a smaller chatbot.
Jev trades free-form generation for typed answers, predictable structures, and low-latency decisions that software can consume directly.
| Feature | Jev | Generative LLM |
|---|---|---|
| Output type | Typed Choice / Score / Noul | Generated text or JSON |
| Output token price | $0 | $0.30–$15.00 / 1M |
| Format reliability | 0% type-error rate by design | Requires validation |
| Illustrative P50 latency | ~230ms | ~1,200ms |
“0% type-error rate” describes schema validity, not perfect semantic accuracy. Latency and pricing comparisons are illustrative and can vary by provider.
Jev primitives cheat sheet
Three outputs. One shared state.
Ask multiple independent typed questions against the same context and evaluate them in parallel.
02
Position on a rubric
Score
Rate a state against two to ten ordered levels, with a continuous score and confidence attached.
low · medium · high
03
Yes / no probability
Noul
Return the probability that a statement is true without generating an explanation or extra text.
P(true) = 0.94
API limits & specifications
Plan the workload before it reaches production.
Use published limits as a starting point, then confirm current quotas and model availability in your TypeSafe account.
32K / 64K
Context guidance
32K state + longest question; 64K request
$0.042
Input price
Per one million input tokens
$42
Billion-token price
Equivalent published input rate
Typed
Answer contract
Choice, Score, or Noul
Frequently asked questions
What teams ask before switching.
How much does Jev cost?
The published rate used by this calculator is $0.042 per million input tokens, equivalent to $42 per billion input tokens. Output tokens are not separately metered.
Is Jev a replacement for GPT or Claude?
No. Jev returns bounded decisions and probabilities rather than free-form text. It is best used for classification, routing, scoring, and verification alongside a generative model.
What does zero percent hallucination mean for Jev?
It means Jev cannot produce a value outside the answer schema you define. It can still select a valid but incorrect option, so confidence thresholds and evaluation remain important.
Does this calculator send my workload data anywhere?
No. The MVP calculator runs entirely in your browser. Values are not submitted to JevCalc or TypeSafe AI.