Meta Puts Its Frontier Model Behind a Paid API, Closing the Weights on Muse Spark 1.1

Meta Superintelligence Labs, the unit led by Alexandr Wang, released Muse Spark 1.1 on July 9. It is a multimodal reasoning model built for tool use, computer control, and coding. The main improvement over the earlier Muse Spark is in agentic execution rather than raw text quality. The model has a one-million-token context window, and Meta compares its gains against Anthropic's Claude and OpenAI's frontier models.

The more important development is commercial, not technical. Unlike the Llama family, Muse Spark 1.1 has closed weights and is available only through the paid Meta Model application programming interface (API) in public preview. It is priced at $1.25 per million input tokens and $4.25 per million output tokens, with $20 in credits, according to Meta's launch materials and independent write-ups. For the first time, Meta is charging for access to its own frontier model the way its rivals do, rather than releasing downloadable weights.

Independent reproduction of the model's agentic and coding claims is not yet available. The published numbers come from Meta itself, and how Muse Spark 1.1 compares with Claude and GPT-class models on public agent benchmarks such as SWE-bench and computer-use test suites has not yet been confirmed by outside researchers. What is verified today is the pricing, the closed distribution, and the one-million-token context window.