joey-1

Released
2026-10-29
Last refreshed
2026-10-30
Status
Researched 2d ago
Open sourceCommercial use: permittedMultimodalAgentsVisionJSON / Tool useAgent
Baseten releases · 3 in the last 12 months · this family litChangelog →
Specifications
Family
joey
Released
2026-10-29
Context
16K
Parameters
2B
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

AI inference platform whose research lab, Base Labs, trains open decision models.

Founded 2019
Website
Pricing
Output / 1M
Free
Input / 1M
$0.010

Cheapest of 3 routes · Baseten API · cache read Free

About

joey-1 is a 2B open-weight decision model from Base Labs, Baseten's research lab, released October 29, 2026. It is a fine-tune of Qwen3.5-2B that turns a state and typed questions into calibrated probabilities for choice, yes/no and score answers in a single forward pass, without generating free-form text, for routing, classification and rubric scoring. It accepts text and images and has a 16,384-token context limit. It is the smallest of Base Labs' three decision models (with elephant-1 and mammoth-1). Weights are on Hugging Face at baselabs/joey-1 under MIT.

Providers(3)

Compare all 3

Compare API pricing across 3 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Baseten API$0.010Freeread Free
ServerlessProvisioned
OpenRouter$0.010Free-
Serverless
Vercel AI Gateway$0.010Free-
Serverless

Capabilities

VisionMultimodalStructured Outputs

Benchmark peer barsfor Agents

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

joey-1decision-models/baseten-joey-2b-latestbaseten/joey-1baselabs/joey-1