Unverified50% confidenceFactExact time
The Perplexity Decider API handles the inference and decision outputs of decision models.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/4/2026
First Seen
Valid until: 2/2/2027
Sources
Related Entities
Related Claims
UnverifiedUsers can now use Decision Models in Perplexity Numbat.76% similarUnverifiedRecommendations for choosing a decision model: for the cheapest option right now choose Perplexity v1.1 ($0.02/M); if you need open-source weights choose Perplexity; if you are already in the OpenAI ecosystem choose the Decisions API; if you need a second opinion on accuracy, run two models on the same batch of 200 labeled samples and compute the confusion matrix.74% similarUnverifiedThe Decisions API is a classification decision tool with no output tokens that makes fast, intelligent selections from preset options, corresponding to the classifier paradigm in machine learning rather than a generative model.73% similarUnverifiedThe core decision logic for building a multimodal inference service is to first quantify the proportion of visual encoding in the overall inference overhead, then assess disaggregation benefits in combination with SLO requirements and load diversity.72% similarUnverifiedThe Typed Decisions benchmark is a structured, probabilistic classification benchmark that specifically measures a model's ability to make calibrated decisions in multi-dimensional classification tasks.71% similar
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