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CM3leon

CM3leon is an AI model made by Meta. Meta released it on 14 July 2023. It takes text, image and returns text, image.

In inglese

Meta

Released
14 July 2023 — ai.meta.com, read 16 October 2026
Status
Not confirmed: Meta's announcement and publication page do not state that CM3leon is preview, generally available, deprecated, or retired, or state its current serving status.
Takes
Text, Image — ai.meta.com, read 16 October 2026
Returns
Text, Image — ai.meta.com, read 16 October 2026
Open weights
Not confirmed: The Meta announcement and publication page do not state whether CM3leon's weights are open or provide a link to downloadable official weights.
Licence
Not confirmed: No licence name for CM3leon is stated on the Meta announcement or publication page.
Context window
Not confirmed: The Meta announcement and accessible publication page do not print a standard context-window limit.
Longest answer
Not confirmed: The Meta announcement and accessible publication page do not print a standard maximum-output limit.
Knowledge cutoff
Not confirmed: The Meta announcement and accessible publication page do not state a knowledge-cutoff date.
API price, input
Not confirmed: No standard API input price or Meta API pricing page for CM3leon was found.
API price, output
Not confirmed: No standard API output price or Meta API pricing page for CM3leon was found.
Where
Not confirmed: The Meta announcement and publication page do not document availability through an API, consumer app, downloadable weights, or cloud marketplace.
Parameters
Not confirmed: The Meta announcement and accessible publication page do not print a parameter count.
Model card
Not confirmed: No dedicated Meta model card or system card for CM3leon was found; the announcement and research publication are not identified as model cards.

Questions

When was CM3leon released?

Meta released CM3leon on 14 July 2023.

What does CM3leon take and return?

CM3leon takes text, image and returns text, image.

More from Meta

Sources

  1. Introducing CM3leon, a more efficient, state-of-the-art generative model for text and images (read 16 October 2026)
  2. Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning (read 16 October 2026)

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