60dB Judge: Every agent decision, answered in one call
60dB Judge · New decision model
60dB Judge is a decision model for AI agents. It answers the small, constant questions an agent asks — which intent, which route, which tool, is this allowed — with a calibrated probability, for $0.010 per 1M input tokens.
214 / 231
Public decisions correct (92.6%)
+15
More correct than Jev 1.13.0
95 / 111
Hard tier (Jev: 80)
0
Invalid responses
Three question shapes cover the decisions agents make
Ask in plain language, give the options, and get back an answer with how sure the model is.
Choice
Pick one label from a list — which intent, which route, which tool.
Score
Place an answer on an ordinal scale — urgency, quality, sentiment.
Yes / No
A calibrated probability that something is true — is this allowed, did they confirm.
What it decides
- Intent detection
- Routing and hard routing
- Tool selection
- Entity extraction
- Policy and long-policy checks
- Fact checks
- Dates and numbers
- Answer adequacy
- Ambiguous and adversarial requests
Measured across all 18 JevBench decision families — see results by family.
Built for decisions that trigger actions
$0.010 per 1M tokens
Pay only for input tokens — output is free. A decision costs a fraction of a cent, so you can put one on every turn of every call.
Drop-in SystemOne API
Accepts the same request and response shapes as SystemOne-compatible decision APIs, so an existing integration can switch by changing the base URL.
Fast mode when it counts
Send a budget under 3 seconds and the same model answers in a single pass — built for live calls where an agent can't wait.
Calibrated, not just correct
Every answer comes with a probability. On JevBench, 60dB Judge's probabilities had the lowest error of the systems we tested (Brier 0.119).
