MUSE CODE
Muse Code: Meta's Free CLI With a Token Meter
Muse Code is Meta Superintelligence Labs’ terminal coding agent — shipped in beta on August 5 2026 alongside the Muse Spark 1.2 model, arriving well behind Claude Code, Codex, and Devin. The CLI itself is free, but there is no free tier, no trial, and no bundled allowance anywhere on Meta’s pages — a payment method is required before the first run, and billing is per token with no seat price, no subscription, and no hard spend cap. Standard tier runs $1.25 input / $0.15 cached / $4.25 output per 1M tokens; the contributor tier cuts that 12.5x / 21x in exchange for letting Meta train on your prompts and completions. The engineering is genuinely different — persistent background agents, automatic git-worktree fan-out, a replay-exact event log — but it is macOS/Linux/WSL only, its benchmark numbers are vendor-run, and hands-on reviews found it unreliable for long autonomous builds. This page is the corrected record — plus the free path: run any agent as a widget in VibeFuse, the first free widget-based AI harness — no harness meter, ever.
Why developers search for Muse Code in 2026
Meta's first terminal agent
One command installs it — curl -fsSL https://dev.meta.ai/install.sh | bash — and a native binary lands on your PATH (macOS and Linux; Windows rides WSL). Run muse in a project directory, trust the workspace, sign in with a Meta developer account, and it plans, edits, and validates multi-file changes across large repositories. Headless mode is muse exec for scripts and CI. Third-party agents can drive the same Muse Spark model through the Model API (OpenAI-compatible at api.meta.ai/v1, Anthropic-format via the Messages endpoint), so Claude Code, Codex, and OpenCode can all run muse-spark-1.2 through config.
The harness is the product
Three features nobody else ships quite this way. (1) Persistent background agents stay alive across the session instead of spawning per subtask — no repeated cold-start context rebuilds on long refactors. (2) Automatic worktree fan-out: large jobs dispatch parallel subagents into isolated git worktrees that merge clean. (3) An append-only local event log records every model call, tool run, approval, and edit — replay-exact and restart-safe, so after a crash the agent resumes precisely where it stopped. Built-in workflows: /plan (approval-gated plan), /grill (stress-test the plan), /goal (work toward completion).
No plan, no cap: the two-tier token trade
Meta sells agent tokens with no plan wrapper. muse-spark-1.2 Standard: $1.25 per 1M input, $0.15 cached, $4.25 output — 3,000 RPM / 4M TPM per team. muse-spark-1.2-contributor: $0.10 / $0.002 / $0.20 — 12.5x cheaper input, 21x cheaper output, 75x cheaper cache — in exchange for granting Meta training rights over your prompts and completions. Contributor runs at 100 RPM / 3M TPM and is limited to select countries. No hard spend cap exists — Meta sends email alerts, not ceilings; the community workaround is OpenRouter spend limits or a capped virtual card.
Docs that disagree with themselves
The launch blog says Muse Code “starts on a contributor tier” with 5-hour rolling token windows; the configuration docs never mention the contributor tier at all and print the standard-tier model as the default (muse-spark-1.2). The blog calls the switch command /model, the docs /models. A $20 starter credit is rumored from the 1.1 era and unverified. Practical rule: run /models on your first session and read what your account actually bills — the gap between the two answers is 12.5x on input.
What Muse Code costs now (September 2026)
| Path | Cost | What you get | Fine print |
|---|---|---|---|
| The CLI itself | $0, closed beta | Full agent: persistent background agents, worktree fan-out, event log, /plan /grill /goal, muse exec headless, ACP | macOS + Linux only; WSL for Windows; no native Windows installer announced |
| Standard tier (default) | $1.25 in / $0.15 cached / $4.25 out per 1M | muse-spark-1.2, 1M context, no training on your prompts | 3,000 RPM / 4M TPM per team; no hard spend cap — email alerts only |
| Contributor tier | $0.10 in / $0.002 cached / $0.20 out per 1M | Same model, 12.5x/21x cheaper — you grant Meta training rights | 100 RPM / 3M TPM, select countries only; 75x cheaper cache |
| Model API (bring your own agent) | Same token rates | Point Claude Code (Messages API), Codex (Responses), or OpenCode at api.meta.ai/v1 | Reasoning tokens bill as output; default effort xhigh of 7 levels, none unsupported in-agent |
| VibeFuse harness | $0, forever | Runs Claude Code, Codex, Gemini CLI, Cursor — and any Model-API agent — as widgets over your repos | Your vendor billing, your model choice per task, no harness meter |
Verified against Meta’s Muse Code product page, the Model API pricing and rate-limits documentation, the launch blog, and independent pricing trackers (September 2026). Meta’s own pages disagree on the starting tier — run /models before budgeting.
Muse Code vs Claude Code vs the harness shape
| What matters | Muse Code CLI | Claude Code | VibeFuse |
|---|---|---|---|
| License | Closed beta; no open weights (Meta says more “soon”) | Proprietary | Free download, free license key |
| Platforms | macOS + Linux; WSL for Windows — no native Windows build | Native Windows (PowerShell/WinGet), macOS, Linux | Windows-first harness |
| Pricing shape | Per token only — no plan, no cap, card required first | Pro $20/mo subscription with 5-hour windows; Max $100–$200 | $0 — your vendor accounts set the volume |
| Default model | muse-spark-1.2 (1M context, reasoning billed as output) | Claude Opus/Sonnet only | Whatever agent widget you run — mixable per task |
| Benchmarks | 82.9% Terminal-Bench 2.1 (vendor-run, harness-specific); 2nd to Opus 5 in Meta’s own panels | Verified frontier lead on public suites | N/A — the harness runs the same agents you would benchmark |
| Agent architecture | Persistent background agents + automatic worktree fan-out + event-log replay | Subagents spawned per task; worktrees manual | Canvas of official vendor CLIs — each keeps its own architecture |
| Data trade | Contributor tier = Meta trains on your prompts/completions for 12.5x-21x discount | No training on API inputs by policy | Code stays local — nothing uploads by default |
| Economy | Per-token meter with no ceiling | Subscription or API | Open-source marketplace: sell widgets, skills, styling packs for revenue share |
Be honest: where Muse Code still trails
Credit where due first: the harness engineering is genuinely good — persistent background agents that avoid cold-start churn, automatic worktree fan-out so parallel subagents never collide, and an event log that makes every decision replayable. The honest gaps: every headline number is vendor-run — the 82.9% Terminal-Bench figure was not on the public verified leaderboard when independent reviewers checked after launch, the comparison harness changes between Meta’s own chart bars, and in Meta’s panels Muse Spark 1.2 finishes second to Claude Opus 5 on all three evals while Meta itself calls 1.2 “a moderate improvement over 1.1.” Hands-on reviews found the best result in read-heavy work — a 222-PR audit in under five minutes for about $0.10 on contributor — but the model hallucinated an entire wrong product in a real integration test, wrote code that did not work, and failed to recover when confronted. One hands-on report through a third-party harness (OpenCode + OpenRouter) found it “useless” at simple tasks — the model is heavily RL-trained on Meta’s own harness, so expect degraded tool-calling anywhere else. Platform coverage is one behind the field: no native Windows build. And the billing story has no guardrails: no free tier, no trial, no hard cap — a payment method is step one, and the only brakes are indirect (lower reasoning effort, fewer background agents, a different model). If you want verified frontier quality on native Windows, Claude Code remains the safer premium default; if you want the cheapest tokens in the field and an auditable agent loop, Muse Code is the interesting new meter — and inside VibeFuse it runs next to every other vendor’s official CLI, so one vendor’s rate limit never stops the canvas.
Cheap bulk work on contributor
The contributor tier is the cheapest named token price in the major-lab field: $0.10/$0.20 per 1M makes bulk read-heavy loops — PR audits, codebase summaries, test sweeps — cost pennies (one reviewer audited 222 PRs for about $0.10). The trade is real, though: Meta trains on everything you send. Keep secrets, proprietary code, and client work on the standard tier, and decide per project — not per habit.
Cap the open meter
Meta bills with no hard ceiling — email alerts only — and the default reasoning effort is xhigh with thinking tokens billed as output. Practical guardrails: attach a capped virtual card or route through OpenRouter with per-key spend limits, drop --reasoning-effort for bulk runs, cap --max-model-steps on headless sessions, and disable background observer agents when you do not need them. Rate limits apply per team, so extra keys buy nothing.
When to pick which
Cheap per-token bulk on a Mac or Linux box: Muse Code contributor. Verified frontier quality and the deepest ecosystem on native Windows: Claude Code. Free MIT tooling pointed anywhere: Kimi Code. Refusal to marry any one meter: run them all as widgets in VibeFuse — Muse for pennies-per-PR audits, Claude for the high-stakes builds, on one free canvas. They are different meters for different jobs, not rivals for one.
Also compare the Kimi Code record, the Qwen Code record, the Gemini CLI shutdown record, the Codex CLI vs Claude Code breakdown, the Cursor CLI alternative, the AI agent harness guide, and the best vibe coding tools.
Muse Code FAQ
What is Muse Code?
Muse Code is Meta Superintelligence Labs' terminal coding agent, shipped in beta on August 5 2026 alongside the Muse Spark 1.2 model. You install it with one command (curl -fsSL https://dev.meta.ai/install.sh | bash), run it in a project directory with muse, and it plans, edits, and validates multi-file changes across large repositories. Its distinguishing features are persistent background agents that stay alive across the session instead of spawning per subtask, automatic fan-out of parallel subagents into isolated git worktrees, an append-only local event log that records every model call, tool run, approval, and edit (replay-exact and restart-safe), and /plan, /grill, and /goal built-in workflows. Headless mode is muse exec for scripts and CI.
Is Muse Code free?
The CLI binary is free to install - but there is no free tier, trial, or bundled allowance anywhere on Meta's pricing, product, or billing pages, and a payment method is required before your first run. Meta bills per token through the Model API with no seat price, no subscription, and no hard spend cap (email alerts only). Two tiers: muse-spark-1.2 Standard at \$1.25 per 1M input / \$0.15 cached / \$4.25 output, or muse-spark-1.2-contributor at \$0.10 / \$0.002 / \$0.20 - roughly 5-10% of standard - in exchange for letting Meta train on your prompts and completions. The contributor tier is rate-limited at 100 requests per minute vs Standard's 3,000, and is only available in select countries.
How much does Muse Code cost per month?
There is no monthly price - billing is per token and your cost depends on agent volume. Budget math from published rates: a heavy agent day can push 5-10M tokens, so Standard-tier output alone can run \$21-\$42 per day of heavy use. The contributor tier cuts the same usage by 12.5x on input and 21x on output. Compare Claude Code Pro at \$20/mo (subscription with 5-hour windows), Codex included with ChatGPT Plus at \$20, and Cursor Pro at \$20 - Meta is the only major lab selling agent tokens with no plan wrapper, which makes a quiet month almost free and a heavy month uncapped.
What is the muse-spark-1.2-contributor tier?
It is the same Muse Spark 1.2 model on a data-for-discount trade: you grant Meta training rights over your prompts and completions, and pay \$0.10 per 1M input / \$0.002 cached / \$0.20 output instead of \$1.25 / \$0.15 / \$4.25 - 12.5x cheaper on input, 21x on output, 75x on cache. The trade-off besides privacy: contributor runs at 100 RPM / 3M TPM versus Standard's 3,000 RPM / 4M TPM, is limited to select countries, and the discount only applies to the muse-spark-1.2-contributor model ID. Meta labels the tiers bluntly - 'Used to improve our products' vs 'Not used to improve our products.'
Does Muse Code work on Windows?
Not natively. Muse Code ships for macOS and Linux only; Windows runs it through WSL, and Meta has announced no native Windows installer or PowerShell-first workflow - one platform behind Claude Code, which installs natively via PowerShell/WinGet, and Codex, whose Windows path needs no Linux layer. Community forks document the WSL route, and a community Claude-Code-commands bridge exists for driving muse from Claude Code. For a native Windows agent experience today, Claude Code, Codex, or a Windows-first harness like VibeFuse are the practical paths.
How good is Muse Spark 1.2 at coding?
Meta reports Terminal-Bench 2.1 at 82.9% and DeepSWE 1.1 at 59.3% with the Muse Code harness - but both are vendor-run, and the Terminal-Bench figure was not on the public verified leaderboard when independent reviewers checked after launch. In Meta's own comparison panels Muse Spark 1.2 finished second to Claude Opus 5, and Meta itself calls 1.2 'a moderate improvement over 1.1'. Hands-on reviews (t3.gg's Theo Browne) found it exceptionally fast and cheap for read-heavy work - a 222-PR audit for about \$0.10 on the contributor tier - but unreliable for long autonomous builds: hallucinated plans, broken integrations, and recovery failures. The model is heavily RL-trained on Meta's own harness, so expect degraded behavior through third-party harnesses like OpenCode.
How does Muse Code compare to Claude Code?
Different meters for different jobs. Claude Code is a mature, Windows-native agent behind a \$20/mo Pro subscription with verified frontier benchmarks and the deepest ecosystem; Muse Code is a beta, macOS/Linux-only agent with no subscription at all - per-token billing that is either 12.5x-21x cheaper (contributor, Meta trains on your data) or comparable-to-pricey (Standard \$1.25/\$4.25). Meta's own benchmarks put Muse Spark 1.2 second to Claude Opus 5. Muse Code's genuinely different engineering: persistent background agents, automatic worktree fan-out, and the replay-exact event log. Claude Code wins on verified quality, platform coverage, and ecosystem; Muse Code wins on token price and the auditable event log.
What is VibeFuse's take on Muse Code?
Muse Code is another one-vendor CLI with one meter - VibeFuse is the free Windows AI harness that runs Claude Code, Codex, Gemini CLI, Cursor, and any Model-API agent as widgets over your real repositories. VibeFuse costs \$0 with no harness meter: your vendor accounts do the billing, and you switch models per task instead of being locked to muse-spark-1.2. When a quota wall or rate limit hits one widget, route the task to another vendor's CLI on the same canvas. VibeFuse also runs an open-source marketplace where creators sell widgets, skills, and styling packs for revenue share - pair it with VocalFuse for local voice dictation while you build.
Run Muse Code — and everything else — on one free canvas
Download VibeFuse free, register for a free license key, and run Claude Code, Codex CLI, Gemini CLI, Cursor — and any Model-API agent — as widgets over your repositories on Windows. $0 harness, no usage meter, your vendor accounts, code stays local. Pair it with VocalFuse voice if you dictate while you build.
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