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Muse Wonder (Meta)

Meta · muse-wonder-1-0

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Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

Specification

most-agreed values

Context
1M
Max output
131K
Released
2026-10-12
Knowledge cutoff
—
Retires
—
Open weights
no
Input
text, image, pdf
Output
text

Price

US dollars per million tokens · most-agreed

Input
$4.00
Output
$20.00
Cache read
$0.20

Quality

1 benchmark · 1 source

Composite
95th
percentile of 344 scored models
Rank
19 / 344
±0.56 sd
Evidence
1 × 1
too little evidence to place with confidence
Effort range
—
one configuration only
general91st1/1 bench

Every score

one row per source and configuration — nothing averaged away

BenchmarkScoreConfigurationSourceRun
LiveBench81.9max · 23 runsLiveBench2026-06-25

The leading figure for a benchmark is the median across its configurations, so one heroic high-effort run cannot set the number.

Available from 9 hosts

HostIn $/MOut $/MCache rdCache wrContextOutputRetires
cloudflare-ai-gateway$4.00$20.00$0.20—1M131K—
commandcode$4.00$20.00$0.20—1M131K—
edenai$4.00$20.00$0.20—1M131K—
llmgateway$4.00$20.00$0.20—1M131K—
llmgateway-providers$4.00$20.00$0.20—1M1M—
meta$4.00$20.00$0.20—1M131K—
opencode$4.00$20.00$0.20—1M131K—
requesty$4.00$20.00$0.20—1M944K—
vercel$4.00$20.00$0.20—1M1M—

Price history

append-only observations · a listing writes a row only when its price moves

DateHostField$/M
2026-10-13metaCache read$0.20
2026-10-14metaCache read$0.20
2026-10-13metaInput$4.00
2026-10-14metaInput$4.00
2026-10-13metaOutput$20.00
2026-10-14metaOutput$20.00

More from Meta

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