
Meta’s Muse Code beta targets developers using Claude or Codex. Standard tokens run from $1.25 to $4.25 per million; a contributor tier offers deeper discounts.
Alpha Score of 60 reflects moderate overall profile with weak momentum, weak value, strong quality, strong sentiment.
Meta jumped into the coding-agent race Wednesday, releasing a beta of Muse Code, a tool its AI chief described as “one of the most affordable coding agents on the market.” The agent runs on Meta’s Muse Spark 1.2 model and targets developers who currently use Anthropic’s Claude Code or OpenAI’s Codex.
Alexandr Wang, Meta’s head of AI, posted on X that Muse Code is available globally. The standard pricing for Muse Spark 1.2 starts at $1.25 per million input tokens, 15 cents per million cached-input tokens, and $4.25 per million output tokens. A cheaper “contributor” tier gives a steeper discount but lets Meta use activity to improve its products. That split could appeal to solo developers or startups, while companies with proprietary code might stick with the standard tier.
Direct price comparisons are tricky. Anthropic bundles Claude Code into its $20-a-month Pro plan and into Max plans that run $100 to $200 a month. OpenAI’s Codex sits inside ChatGPT Plus at $20 a month or the $100-a-month Pro tier.
The launch is the latest sign that coding agents have become a central front in the AI arms race. Unlike a standard chatbot, a coding agent can browse a company’s codebase, run tests, and write fixes with limited human supervision. Anthropic grabbed early momentum with Claude Code; OpenAI pushed Codex into ChatGPT and developer terminals.
During Meta’s first-quarter earnings call in April, CEO Mark Zuckerberg said developer tools weren’t the company’s primary focus, though he didn’t rule out offering coding products. Muse Code suggests the company sees an opening to pull developers away from pricier alternatives by matching features at a lower price point.
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.