Understand this story
On October 13, 2026, Meta released the Muse Wonder series, comprising two models, Muse Wonder and Muse Wonder Full, which it called its most capable models to date, achieving SOTA on personal and professional agent tasks, covering professional domains such as law, finance, and health as well as frontier coding capabilities. Both models feature Active Memory and Active Focus, and were trained, evaluated, and released according to the Meta Superintelligence Scaling Framework. According to Artificial Analysis data, the two models scored 52 and 56 respectively on Intelligence Index v4.3 at maximum reasoning effort, higher than the 48 of Muse Spark 1.3 (max); Muse Wonder is already available on Meta's first-party API and Muse Code, while Muse Wonder Full is available only to Muse Code users. On the same day, Arena added the two models to Agent Arena testing, and Simon Willison released the llm-meta-ai 0.2 plugin supporting the new models. On October 14, Arena announced Muse W
AI-generated from public reports
Latest development · Report
English translation is being prepared.Developments
5 confirmed developments
- Source:Arena
- Source:Arena
- Source:Arena
- Source:Simon Willison
- Source:Meta：Newsroom · AI
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Oct 16
tmtpost_agi
English translation is being prepared.
the_new_stack
English translation is being prepared.
siliconangle
English translation is being prepared.
Oct 15
aiatmetaFirst-party
English translation is being prepared.
ai_business
English translation is being prepared.
fortune_tech
English translation is being prepared.
fortune_ai
English translation is being prepared.
Oct 14
heise_online
English translation is being prepared.
tmtpost_agi
English translation is being prepared.
marktechpostSelected
English translation is being prepared.
fortune_ai
English translation is being prepared.
the_verge_aiSelected
English translation is being prepared.
Oct 13
ben_s_bites
English translation is being prepared.
ai_business
English translation is being prepared.
thepaper_ai
English translation is being prepared.
latent_space
English translation is being prepared.
Latent SpaceSelected
Meta MSL releases Muse Wonder and Muse Wonder Full models
Meta Superintelligence Labs releases its second-generation model family Muse Wonder and Muse Wonder Full; the former is positioned as a fast frontier model, the latter as the full version, and Meta says they target personal and professional agent work. On Artificial Analysis's Intelligence Index v4.3, Wonder Full scores 56 and Wonder scores 52, higher than Muse Spark 1.3's 48, while Opus 5.5 leads with 58. Specifications are 1M context, input supports text, images, video and audio, output is text only, and pricing is 4 USD per million tokens for input, 0.20 USD for cached input, and 20 USD for output.
the_rundown_ai
English translation is being prepared.
testingcatalog
English translation is being prepared.
ZhidongxiSelected
Meta releases frontier model series Muse Wonder, focused on personal and professional agent tasks
Meta releases its first frontier model series Muse Wonder, including two models, Muse Wonder and Muse Wonder Full, focused on personal and professional agent tasks and introducing proactive memory and proactive focus capabilities. On DeepSWE 1.1 and SWE-Marathon tests, Muse Wonder Full scores higher than Claude Fable 5.1, GPT-6 Astra and Claude Opus 5.5; at the highest reasoning effort on the Artificial Analysis leaderboard, the two models' Intelligence Index scores are 52 and 56 respectively. Muse Wonder is priced at 4 USD per million input tokens and 20 USD per million output tokens; Muse Wonder Full is now available on the API platform and open to Muse Code subscribers.
Huxiu
Meta releases Muse Wonder and Muse Wonder Full, surpassing Claude on long-horizon coding tests…
Meta Superintelligence Labs launched its new-generation flagship models Muse Wonder and Muse Wonder Full on October 13. The Full version scored 56 on the Artificial Analysis Composite Intelligence Index, 2 points behind Claude Opus 5.5's 58. On the DeepSWE 1.1 long-horizon software engineering test, Wonder Full scored 79.0, surpassing Opus 5.5's 74.2 and GPT-6 Astra's 74.1, but it still trails Opus on Terminal-Bench 4.0 and ProgramBench. Artificial Analysis estimates its average task cost at $4.52, up 183% from the previous generation Muse Spark 1.3; a developer comparison on the same prompt shows its 3D game generation is noticeably worse than Opus, and Meta's model card has acknowledged 3D tasks as a known limitation.
simon_willisonSelected
English translation is being prepared.
HuxiuSelected
Meta releases the Muse Wonder series of models, focused on personal agent memory and long-horizon tasks
Meta released two models, Muse Wonder and Muse Wonder Full, internally codenamed Watermelon, targeting personal and professional agent tasks, with a focus on improving cross-conversation memory and long-duration task execution. Artificial Analysis evaluations show that Wonder Full placed in the top three on six of ten tests, and at the highest reasoning intensity, Muse Code paired with Wonder Full matches Claude Code paired with Sonnet 5.5 in coding performance. API pricing is $4 per million input tokens and $20 per million output tokens; Wonder Full is available only to Muse Code subscribers, and Meta AI head Alexandr Wang acknowledged that its coding capability still lags behind Opus 5.5.
Christine Awad
Muse Wonder launches for Muse subscribers
Christine Awad said that Muse Wonder is launching today on Muse for subscribers. The post by David Singleton that she cited states that the model will gradually power experiences in Muse and was rolled out first to subscribers earlier that day; he himself has been using it for some time and finds that it works harder and draws on memory more precisely with Active Focus and Active Memory.
the_decoder
English translation is being prepared.
rohan_paul
English translation is being prepared.
aravsrinivas
English translation is being prepared.
David Singleton
Muse Wonder model released, aimed at personal agents and made available first to subscribers
The Muse Wonder model has been released, positioned to power personal agents, and has been made available first to subscribers. The model includes three capabilities: Active Memory, Active Focus, and domain expertise. The company says its memory spans day, week, and month scales, and that it achieves SOTA in finance and legal domains and performs strongly in health. David Singleton said he has been using it for some time and believes that under Active Focus and Active Memory the model works harder and calls on memory more precisely.
techcrunch_aiSelected
English translation is being prepared.
aiatmetaFirst-party
English translation is being prepared.
artificialanlysSelected
English translation is being prepared.
rohan_paul
English translation is being prepared.
openrouterFirst-party
English translation is being prepared.
openrouterFirst-party
English translation is being prepared.
yuchenj_uw
English translation is being prepared.
testingcatalog
English translation is being prepared.
meta_newsroom_aiFirst-partySelected
English translation is being prepared.
aiatmetaFirst-party
English translation is being prepared.
aiatmetaFirst-party
English translation is being prepared.
aiatmetaFirst-party
English translation is being prepared.
aiatmetaFirst-partySelected
English translation is being prepared.
aiatmetaFirst-partySelected
English translation is being prepared.
testingcatalog
English translation is being prepared.
Oct 12
artificial_analysisFirst-partySelected
English translation is being prepared.
Heat trend for this story
- Current
- 5
- Period peak
- 9 Oct 16 22:00
- 24-hour change
- —
Move the pointer or select the chart to inspect hourly heat. Use the left and right arrow keys with a keyboard.