Model that performs Attributed Question Answering.
Model trained to return answers to questions that are grounded in provided sources, along with estimating answerable probability.
Context window
7,168 tokens
Max output
1,024 tokens
Input price
No official price captured yet
Output price
No official price captured yet
Modalities
Input: Text; output: Text
API surface
Endpoint support not captured
Overview
Where this model fits best
Use this section to quickly decide whether the model belongs in chat, coding, reasoning, embedding, rerank, vision, audio, or agent workflows.
Use cases
What this model should be considered for
Best fit
Use this model when you need a well-documented, structured option inside the registry and want a single place to inspect pricing, capabilities, and operational limits.
Pricing
Pricing and billing signals
Known prices are shown per 1M tokens. Missing official prices are marked as not published instead of being treated as free.
No official pricing has been captured for this model yet. ModelMeta keeps unknown pricing separate from free pricing, so missing data is not shown as $0.
Controls
Runtime knobs worth knowing
Supported request parameters help developers understand sampling, output limits, reasoning controls, and structured output behavior.
Temperature
0 to 2
Top P
0 to 1
Presence Penalty
-2 to 2
Frequency Penalty
-2 to 2
Specifications
Technical reference
Canonical identifiers, family, modalities, token limits, training information, and update metadata.
Model ID
aqaUse this exact identifier in API calls and SDK configuration.
Provider
Access type
Input modalities
Output modalities
Max input tokens
Max output tokens