Single-call cost calculator
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.
Full baseline request input budget, including instructions and all criteria. Jev uses the separate factor below.
JSON, labels, rationale, and parsing overhead per request.
Jev input tokens ÷ baseline input tokens. Default 1.5× is a planning assumption; use 1× if counts match, or enter your measured ratio.
Estimated Jev input: 750 tokens/request. Formula: ceil(baseline input × factor). AY Automate reported 360/153 (≈2.35×) and 952/828 (≈1.15×) in two routing tasks. These are task-specific billed-input ratios, not universal tokenizer constants. Include instructions and criteria in your input budget; avoid counting them twice.
Assumed end-to-end time per call (ms). Default is not measured; replace with your own comparable measurement.
Editable assumption, not a guaranteed minimum or percentile.
Editable assumption, not an SLA or guaranteed upper bound.
Estimated monthly impact
Jev vs GPT-5.6 Terra
$4,705.50
Estimated avoided model spend
98.0%
Compared with the selected baseline
70ms–500ms
Per request · editable assumption, not measured latency
Monthly model cost
USD / MONTHJev latency assumption
70ms–500ms
GPT-5.6 Terra
1,200ms