Joey 1 launch post cover

Cost/1M tokens

input
$0.01
output
$0.00
Context
16Ktokens
Released
2w ago
Size
2.7Bparameters

Baseten's research lab Base Labs released joey-1, a decision model post-trained from Qwen3.5-2B with the same data and recipe as elephant-1 and mammoth-1, adding a third size to the Base Labs decision model family. The launch announcement calls it the family's fastest and most affordable decision model, claiming a P50 end-to-end latency of 20 ms for an average 2,000-token request. It is built for high-volume, latency-sensitive calls that need a decision and confidence score rather than generated text.

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API and pricing

Generated from Vertical Tabs data, updated November 2, 2026.

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