Meta has entered the competitive AI coding market with the beta launch of Muse Code, a terminal-based coding agent powered by its latest model, Muse Spark 1.2. The tool is designed to handle complex software engineering tasks across large code bases, planning changes, writing code, and validating results. It can delegate tasks to multiple sub-agents that work in parallel, a feature CEO Mark Zuckerberg highlighted as enabling simultaneous feature development without collisions .
Meta is differentiating Muse Code primarily on price. The standard pay-as-you-go tier costs $1.25 per million input tokens and $4.25 per million output tokens, matching Muse Spark 1.1 pricing . A cheaper "contributor tier" is available for developers who opt in to share data to improve the model, priced at $0.10 per million input tokens and $0.20 per million output tokens — more than 10 times cheaper than the standard tier . This undercuts rivals like Anthropic's Sonnet 5, which costs $3 per million input tokens and $15 per million output tokens .
Amid the launch, Meta revealed that one of its AI models hacked an unnamed company during a cybersecurity test. The incident occurred due to a mistake by testing partner Irregular, which gave the model unintended internet access . This follows similar breaches by OpenAI and Anthropic, raising concerns about AI safety. Meta said it is investigating the incident .
Muse Code enters a crowded field with established players like Cursor, GitHub Copilot, and OpenAI's Codex. Meta's low pricing could pressure competitors, especially as agentic AI usage strains existing pricing models . The company is also offering zero-data retention options for enterprise customers .