Meta has unveiled Muse Spark 1.1, saying the frontier AI model rivals leading LLMs on coding, computer use, and agentic AI benchmarks while undercutting OpenAI and Anthropic on API pricing, potentially lowering the cost of deploying AI agents in enterprises.
Meta unveiled Muse Spark 1.1 on Thursday, pairing frontier-model performance with aggressive pricing in a move that analysts say could pressure rivals such as OpenAI and Anthropic and reshape enterprise AI procurement decisions.
Meta is betting that lower inference costs can help it gain ground in the enterprise AI market with the launch of Muse Spark 1.1, a frontier model that rivals top competitors on key benchmarks while costing a fraction as much to deploy.
The latest model, which was teased last week, matched or was competitive with leading models, such as Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5, across several agentic AI, coding, and computer-use benchmarks, including SWE-bench Verified, Terminal-bench, BrowseComp, SpreadsheetBench, and OSWorld, Meta wrote in a blog post.
Muse Spark 1.1, which is currently in public preview and available via the Meta Model API, will cost $1.25 per million input tokens and $4.25 per million output tokens, the company noted.
