Models / Meta
Muse Wonder
by Meta ·
meta/muse-wonderMuse 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...
reasoningtool-usevisionreleased 2026-10-12
Legal score · raw
-
not yet benchmarked
Context
1.05M
max output 944K
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Suite cost
-
no run recorded
Prompt caching
Grounded answers re-send the same retrieved authority every turn, so a cached read is what a long matter actually costs. Prices are per 1M tokens, from the provider’s own catalog.
Cache read
$0.25
20x cheaper than uncached
Uncached input
$5
per 1M tokens
Capabilities
Modalities
in textimagevideofileaudio
out text
Request parameters it accepts
include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Benchmark results
This model has not been run through the suite yet. See Humanity's Last Lawsuit for the benchmark models are ranked on.