Make Decisions with Data 75× Cheaper with Jev

Connect to any source and build on MotherDuck at 48x the speed with production-level accuracy. All through your agent, from ingestion to decisions.

Start free → Read the Jev docs

48×faster than gpt-5.6-terra

75×cheaper per row

$0.50to label 100,000 rows

89%accuracy, top of every model tested

Choose your data sources

S3
MCP
HubSpot
Ads
Google Sheets
Jira
Slack
PostHog
Anything

Rows per month

10,000,000

Compare against

Jev model cost$50vs $3,758 with the LLM

You save$3,70875× cheaper every month

Hours saved52 hrsdone in 67 min instead of 53 hrs

Based on our 100,000-row AG News benchmark at retail prices. Jev model cost only: Duckling compute is billed separately, and your costs depend on text length.

Where Jevpays off

Every prompt_jev() query is billed in two parts: the Jev model and the Duckling compute that runs your SQL. At about $0.50 per 100k rows, you can label everything instead of a sample.

Jev modelAI Units

$1per 19M
input tokens

Output tokensFree
Typical cost, 100k rows≈ $0.50
Default daily soft limit10 AI Units ($10)

ComputeDuckling time

$0.60per hour and up,
only while queries run

Pulse DucklingPer CU-second
Standard to GigaBusiness plan
Storage$0.04 / GB / month

Duckling sizes

Tier 1 region prices, e.g. us-east-1

Duckling	Price / hour	Cooldown	Best for
Pulse	$0.60	None	Small, bursty queries
Standard	$2.40	1 min	Everyday pipelines
Jumbo	$4.80	1 min	Large, complex queries
Mega	$12.00	5 min	Heavy transformations
Giga	$24.00	10 min	Largest batch jobs