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Meta Takes On Anthropic And OpenAI With Muse Code, Its First AI Coding Agent

The terminal-based tool is touted as a more affordable alternative to its rivals.

by Nurul Kamil
August 6, 2026
Meta Muse Code

Image: Meta

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Those looking to dabble in AI-assisted coding already have a lot of options when it comes to tools and agents, such as Anthropic’s Claude Code and OpenAI’s Codex. Now, Meta is throwing its hat into the ring with its first AI coding agent. The company has launched an early beta of Muse Code, a terminal-based coding tool.

As detailed in a blog post announcing its release, Muse Code is powered by Muse Spark 1.2, Meta’s latest Muse Spark model. The update focuses on coding-related capabilities, including code generation, complex debugging, codebase understanding, and end-to-end developer workflows. Furthermore, the new AI model was trained on long-horizon coding tasks, including whole-repository generation, large end-to-end projects, and auto-research.

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Image: Meta

Much like rival tools, Muse Code can build software with text prompts. According to Meta, it is capable of writing code, planning changes, as well as validating results. It leverages a set of specialised background agents that remain active throughout the session, which allows it to build context over time and prevent redundancy. For bigger projects, the main agent can delegate tasks to the sub-agents. These agents run in parallel in their own separate worktrees, leaving the user’s working copy untouched. Other than that, the agent comes with multiple default skills to help users get started.

With all this in mind, a major selling point of Muse Code is the pricing. Meta is positioning its new coding agent as a more affordable alternative to what’s currently on the market. Currently, the company is offering two pricing tiers. The first is the default pay-as-you-go option: US$1.25 (~RM5) per million input tokens and US$4.25 (~RM17) per million output tokens.

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Meta Muse Code
Image: Meta

Meanwhile, the second is a contributor tier that offers access at a significantly lower price of US$0.10 (~RM0.40) per million input tokens and US$0.20 (~RM0.80) per million output tokens. Those opting for this tier must agree to provide feedback for improving the model, though.

For comparison, OpenAI’s Codex is bundled with its subscription plans, which starts at RM24 per month in Malaysia. Of course, each plan also comes with its own constraints. The lower tiers only offer limited usage, making Codex less accessible to users. So, Muse Code may gain an edge over its peers. That is, assuming it performs well enough.

(Source: Meta [1], [2])

Filed Under metamuse code
Updated 3:15 pm, Thu, 6 August 26
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