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Meta
meta/muse-wonderCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Meta meta/muse-wonder
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Muse Wonder earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $4.00 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Muse Wonder
targets:
- id: muse-wonder
kind: llm
name: Muse Wonder
metadata:
model: meta/muse-wonder # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.012000Input list price per million tokens; Muse Wonder is the most expensive of 8 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.20 per 1M
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.