Aplomb 1

POST /v1/decisionsAnswers yes/no, choice, score and tool questions about text, JSON, images, video and audio in up to 1M tokens, and can tell when the input lacks the answer.
At a glance
Pricing
Example request
Parameters
Notes
Requests
Send content in state (a string, a JSON object, or an array) and 1 to 128 questions in questions to POST /v1/decisions. Each question is answered on its own, with probabilities and a confidence value. No text is generated.
Question types
noul: yes or no, answered with the probability of yes.choice: one of 2 to 255 options, answered with the chosen option and the full distribution.score: 2 to 10 ordered levels, answered with the expected level and the distribution.tool: which of 1 to 254 function tools to call, with distributions over its enum and boolean arguments.
Not in the state
Add "abstain": true to a noul, choice or score question to let the model say the state does not contain the answer. The answer then includes abstain, the probability of that outcome, and the rest of the answer assumes the state does contain it.
Limits
- The state plus the longest question: up to 1,000,000 tokens.
- At most 512 evaluated questions per request. A tool question counts as one plus one per enum or boolean argument.
- Media: up to 16 images (20 MB each), 8 audio clips (25 MB and 10 minutes each) and 4 videos (100 MB and 10 minutes each), as public HTTPS URLs or inline base64.
Decision Index
On our run of the official Decision Index 0.2.1 kit (October 5, 2026), Aplomb 1 scores 44.86 across 38 public benchmarks in five areas, with all 150,317 scoreable requests answered. This is not an entry on the published board. Aplomb 1’s training data included the public train splits of WinoGrande and ContractNLI, two of the 38 benchmarks in the index. We could not fully verify that index items were excluded from the earliest training data. The comparison with other models is in the launch post.
Billing
Input tokens only: the state once per request, each question’s own text, and each media item’s tokens. Output is always zero.
Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/aplomb-1.
