tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
Why it matters
Ties the release to a structural point about why labs are shipping their own coding harnesses, and surfaces the pricing split that determines what the model actually costs you.
Key quotes
“Yet more evidence that the most important characteristic of any model these days is long-sequence agentic tool calling.”
“We co-trained Muse Spark 1.2 with Muse Code to ensure the model exhibits its best performance and coding usability when paired together.”
“muse-spark-1.2 is priced at $1.25/million input and $4.25/million output - close to Gemini 3.6 Flash ($1.50/$7.50) - but if you agree to let Meta use your data "to improve our products" you can use muse-spark-1.2-contributor which is $0.10/$0.20 - a huge discount, closer to GPT-5.6 Luna ($0.20/$1.20) and Gemini 3.1 Flash-Lite ($0.25/$1.50).”
“I think the 1.2 pelican is a small but material improvement.”
