How many AI models does Meta serve?
2 tracked models as of 11 August 2026: 2 language models (1 with a public ModelCap Index position), across 2 live endpoints observed through OpenRouter.
Inference provider
Meta: AI models and API pricing
Every tracked model Meta serves through OpenRouter, with Meta's own input and output price per 1M tokens, the context window it serves, disclosed quantization and measured endpoint uptime. Rows link to the model page, where every provider's deployment is listed side by side.
Snapshot as of 11 August 2026
Meta serves 2 tracked models through 2 endpoints as of 11 August 2026; the highest-ranked is Muse Spark 1.2 (ModelCap Index #3); mean measured uptime is 100.0%.
Models served
2
On the ModelCap Index
1
Cheapest output price
$4.25/1M
Language models on Meta (2)
Ranked models first, in ModelCap Index order. Prices are the lowest Meta lists for the model; the endpoint count shows how many deployments carry it.
Meta on ModelCap: common questions
What is the best model available on Meta?
Muse Spark 1.2 from Meta is the highest-ranked language model Meta serves, at ModelCap Index position #3 and $4.25 per 1M output tokens on Meta. The table lists every model in Index order.
What is the cheapest model on Meta?
Muse Spark 1.2 at $4.25 per 1M output tokens ($1.25 per 1M input), the lowest positive language-token price Meta lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.
Which Meta model has the largest context window?
Muse Spark 1.2, served with a 1M-token context window on Meta. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.
How reliable is Meta?
Mean measured uptime across Meta endpoints is 100.0% over the last 30 minutes, as reported by OpenRouter at the time of the snapshot. Per-model uptime is in the table; it is a live operational signal, not a service-level guarantee.
Where do the Meta prices come from?
From the OpenRouter catalogue entry for each Meta endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where Meta exposes several deployments of one model at different prices, the table shows the lowest and notes the count; the model page lists each deployment.
How current is this page?
It re-renders within a minute of every dataset refresh; this snapshot was published 11 August 2026. Offers retained from a failed refresh are marked stale in the data and are not counted here.