Decision
Models that answer typed questions about content as calibrated probabilities.
The decision models behind evaluateDecision. Instead of writing an answer, a decision model reads a state (text, JSON, or for some models images) and answers questions you define: yes or no, one choice from a set, or a score on an ordered scale. Each answer comes back as a probability, so an app can set its own threshold instead of parsing prose. Billing is on input tokens only. Probabilities aren't comparable across models or versions, so tune any threshold against the exact model it will run on.
6 models
CClefDecision
Cloudflare
$0.24/ 1M input tokens
65.5K tok
Context
Text + image
Input
Vision
CClef FlashDecision
Cloudflare
$0.090/ 1M input tokens
65.5K tok
Context
Text + image
Input
Vision
OGPT-6 Luna DecisionsDecision
OpenAI
$0.100/ 1M input tokens
922K tok
Context
Text + image
Input
VisionLarge context
TJevDecision
TypeSafe
$0.042/ 1M input tokens
65.5K tok
Context
Text
Input
TJev PreviewDecision
TypeSafe
$0.042/ 1M input tokens
65.5K tok
Context
Text
Input
IMercury DecideDecision
Inception
$0.020/ 1M input tokens
65.5K tok
Context
Text + image
Input
Vision