Models / Muse Wonder / Calculator

Muse Wonder cost & VRAM calculator

What does Muse Wonder cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.

LOCAL ISN'T PRACTICAL

This is where owning stops making sense

Muse Wonder is a large-billion-parameter model. No rig an individual can buy runs it - so unlike a workstation GPU model, there's no break-even to compute. The honest answer for nearly everyone is the per-provider API cost below.

Meta’s first frontier model, and the first one you cannot own. Muse Wonder 1.0 (October 12, preview) is the company’s “most capable model”: built for multi-file software engineering and long-horizon agentic work, with sub-agents, parallel tool calls, computer use, and every input kind Meta’s API takes. Context is 1,048,576 tokens. The tier below it in the family history, the Muse line, used to ship open weights; this one does not. The split that matters. Muse Wonder runs on the pay-as-you-go Model API in Standard mode (Meta does not train on your content there). Muse Wonder Full, the stronger variant, exists only inside Muse Code subscriptions on the top usage plans, and setting reasoning effort to max on Wonder does not reach it. The frontier is a subscription; the API tier is a preview. The open line stops at Glimmer. If you want Meta weights, Muse Glimmer 30B is still the open-weight answer; Wonder and Full are rented, at a reported 4 dollars and 20 dollars per million input and output tokens.

Your workload

API cost for your workload

Provider Rate ($/1M) Monthly cost
Meta $4.00 in · $20.00 out $0.1 cheapest

Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.

Can you run it locally?

NO - NO INDIVIDUAL RIG RUNS IT

Muse Wonder has no published quantization that fits a rig one person can buy, so there's no local-hardware recommendation and no break-even to compute. The honest answer is the per-provider API cost above.

Meta’s first frontier model, and the first one you cannot own. Muse Wonder 1.0 (October 12, preview) is the company’s “most capable model”: built for multi-file software engineering and long-horizon agentic work, with sub-agents, parallel tool calls, computer use, and every input kind Meta’s API takes. Context is 1,048,576 tokens. The tier below it in the family history, the Muse line, used to ship open weights; this one does not. The split that matters. Muse Wonder runs on the pay-as-you-go Model API in Standard mode (Meta does not train on your content there). Muse Wonder Full, the stronger variant, exists only inside Muse Code subscriptions on the top usage plans, and setting reasoning effort to max on Wonder does not reach it. The frontier is a subscription; the API tier is a preview. The open line stops at Glimmer. If you want Meta weights, Muse Glimmer 30B is still the open-weight answer; Wonder and Full are rented, at a reported 4 dollars and 20 dollars per million input and output tokens.

See the model card for the full architecture notes and any cloud subscription plans.

Full model card API pricing table Generic token calculator