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Model infoModelsSnapshot: 15 Oct 2026

Meta / Audiobox

Audiobox Sound

Text-to-sound and audio-infilling model adapted from Audiobox SSL using descriptions, tags and T5 text conditioning.

restrictedClosed weightsSound effects generationAudio processing
Official documentation (opens in a new tab)Reviewed 13 Oct 2026
6 of 18 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedMeta · research reference
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected
Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Knowledge cutoff
Not collected
Release date
2023-12-25Source for Release date (opens in a new tab)

Research disclosure date, not general API or weight availability.

Parameters
Not collected
Architecture
Audiobox SSL adapted with T5-base cross-attention through two-stage supervised trainingSource for Architecture (opens in a new tab)
Languages
Not collected
Context caching
Not collected

No model-specific inference service or discounted prompt-cache contract is established for these research weights.

Published training data
Approximately 6K hours of tagged sound; second stage uses roughly 150 hours of captioned audioSource for Published training data (opens in a new tab)
audioInfilling
SupportedSource for audioInfilling (opens in a new tab)

Context audio can be preserved while filling the requested region.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Meta · research reference

Provider source (opens in a new tab)
API model ID
Not collected

Descriptive catalog identity, not a verified selectable API ID.

Access
Paper and examples available. No original public checkpoint or callable inference contract verified.
Regions
Research deployment only; public availability and residency are not established

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

The cited research release does not supply a current production processing/retention agreement. Research access or an expired demonstration is not a production API entitlement.

Read the service policy (opens in a new tab)

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Meta · research reference

Not verified

No published service cache policy for this research record.

How it works
Not collected

No published service cache policy for this research record.

Minimum reusable input
Not collected

No published service cache policy for this research record.

Lifetime & refresh
Not collected

No published service cache policy for this research record.

How to enable it
Not collected

No published service cache policy for this research record.

Usage fields
Not collected

No published service cache policy for this research record.

Billing rules
Not collected

No published service cache policy for this research record.

Limits & data boundaries
Not collected

No published service cache policy for this research record.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

What the measurements say

AudioCaps text-to-audio FAD

Meta research authors · provider-reported
0.77FAD

Table 5 Sound-model result. Generation selects the best CLAP match among 32 samples per prompt; not a single-sample quality claim or unified Audiobox score. Lower is better.

Evaluation source (opens in a new tab)

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Meta describes limited, hand-selected researcher access under a research-only license rather than public weights. The original trained research model is distinct from open AudioCraft, MusicGen and Audiobox Aesthetics. The public demo has been discontinued; the paper remains a research reference.

Classification evidence (opens in a new tab)

Lifecycle dates

Paper disclosure of Sound model25 Dec 2023Source (opens in a new tab)

Sources reviewed