Meta Ships Muse Code Terminal Agent With Co-Trained Muse Spark 1.2 Model

Meta released Muse Code, a terminal coding agent, together with Muse Spark 1.2 on 5 August, a direct entry against Anthropic's Claude Code and OpenAI's Codex. Muse Code installs with a single command on macOS or Linux, connects to the Meta Model application programming interface (API), and coordinates persistent background subagents across a repository. Unlike its two main rivals, it ships with no desktop application and runs entirely in the terminal.

The model and the agent were trained together, which is the substantive claim. Meta reports Terminal-Bench 2.1 moving from 76.2 to 82.9, DeepSWE v1.1 from 53.0 to 59.3, and an internal coding benchmark from 68.3 to 70.6 against Muse Spark 1.1. Scoring used the share of tasks solved on the first attempt (pass@1), averaged over five attempts on the 89 tasks in the official Terminal-Bench 2.1 release. The runs took place inside isolated Daytona sandboxes using Meta's own evaluation framework, with each model driven by its vendor's own agent product.

Those are vendor numbers on a vendor harness, and Meta says so, noting that its agent tools and system prompts may not be tuned for third-party models. One analysis points out that no independently verified Terminal-Bench entry exists for the model and that Meta's previous release scored 3.8 points below its own claimed figure. Treat the 82.9 as an upper bound until the public leaderboard reports a result of its own.

The pricing is the more immediately actionable change. Standard rates are unchanged from Muse Spark 1.1 at $1.25 per million input tokens, $0.15 cached input and $4.25 output, with a context window of 1,048,576 tokens. Meta added a contributor tier at $0.10 input and $0.20 output, roughly a twelvefold cut on input and a twentyfold cut on output, in exchange for permission to train future Meta models on submitted prompts and completions. Access runs through the self-serve Meta Model API with no waitlist.