Muse Wonder
Language Preview Full comparison ↗ meta/muse-wonder-1.0 · by Meta
· decoder-only-transformer
Pricing — 1 offering(s)
About this offering: Meta's most capable model, for complex software engineering, long-running agents and computer use. In preview on the Meta Model API (pay-as-you-go, Standard mode only), with a 1,048,576-token context window and no long-context premium. Muse Wonder Full, the higher-capability variant, is only available through a Muse Code subscription and has no per-token price.
Input tokens
- $4.00 / 1M tokens (input) Current 2026-10-13 → present
Output tokens
- $20.00 / 1M tokens (output)
Current
2026-10-13 → present
Reasoning tokens are billed as output.
Cached input tokens
- $0.20 / 1M tokens (cached input) Current 2026-10-13 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
See how Muse Wonder fits into a cost-aware routing setup
See how →Capability profile
How Muse Wonder rates across core capability dimensions, with the task-level evidence behind each rating.
Reasoning effort from minimal to max; Meta reports its benchmark results at max effort.
Meta's model page: "Solve complex engineering tasks in large repositories, making and verifying changes across multiple files in parallel." Vendor-reported; no independent coding benchmark recorded yet.
Meta's model page: plans long tasks, delegates to sub-agents, calls tools in parallel and recovers from errors; native computer use for browsers, desktop and mobile apps.
1,048,576-token context window, with no long-context price premium.
Meta's model card: trained on multilingual data with substantial representation across worldwide languages.
$4/$20 per 1M tokens, with cached input at $0.20; the same as Claude Opus 5.5 and well below GPT-6 Astra's $10/$50.
Ratings are estimated — limited independent data is available for this model.
Operator guidance
Route here for long-horizon agentic and coding work where Meta's most capable pay-as-you-go model is wanted. It's priced like Claude Opus 5.5, so compare on task results rather than price. For high-volume agentic work, Muse Spark 1.3 costs about a third as much for input and a fifth for output. The model is in preview.
Use cases
- Complex software engineering across large repositories
- Long-running personal and professional agents that run for hours and delegate to sub-agents
- Computer-use agents that operate browsers, desktop and mobile apps
Limitations
- In preview on the Meta Model API
- No Contributor-mode (discounted) pricing on pay-as-you-go
- Muse Wonder Full, the higher-capability variant, isn't available on the Model API
- Capability ratings are qualitative, from Meta's own materials, not a cited benchmark run