Question 1

How do I use the Meta API?

Accepted Answer

Create an LLM Gateway API key and point any OpenAI-compatible SDK at https://api.llmgateway.io/v1. Set the model to muse-spark-1.3. On pay-as-you-go keys, meta/muse-spark-1.3 pins every request to Meta; DevPass coding plans do not support provider pinning. You do not need a separate Meta account or SDK.

Question 2

Which Meta models are available?

Accepted Answer

LLM Gateway serves 4 Meta models: Muse Spark 1.3, Muse Spark 1.2, Muse Spark 1.1, Muse Image 1.0. Each model page lists per-token pricing, context window and capabilities.

Question 3

Does Meta train on API data?

Accepted Answer

No. Meta's published policy states that API traffic is not used for model training.

Question 4

Where is Meta based?

Accepted Answer

Meta is headquartered in United States. LLM Gateway shows each provider's location and data policy so you can route by compliance requirements.

Question 5

What happens if the Meta API is down?

Accepted Answer

When you request a model without a provider prefix, LLM Gateway retries failed requests on other providers that serve the same model, so an outage at Meta does not have to take your app down. Send X-No-Fallback: true with a provider-pinned model when every request must reach Meta.

Meta API

Data & Privacy

Available Models

Muse Spark 1.3

Muse Spark 1.2

Muse Spark 1.1

Muse Image 1.0

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