[KongchangAI]
ModelMuseWonder Full / MuseCode

MuseWonder

A new-generation series of frontier large language models released by Meta, comprising the standard MuseWonder and the enhanced MuseWonder Full. It focuses on agentic capabilities and professional coding ability, and supports features such as long context windows and Active Memory.

Core Facts

Timeline (last 90 days)

Oct 13

Meta released the MuseWonder and WonderFull model series; Wonder is already available on the Meta model API, and WonderFull is used for MuseCoding.

Unverified50%
Oct 13

Meta officially released the MuseWonder series of models, including the standard MuseWonder and the more powerful MuseWonder Full.

Partially Verified65%
Oct 13

Meta calls MuseWonder "the world's best personal and professional agent model," with use cases including understanding lease agreements, analyzing financial information and assisting with complex professional workflows.

Unverified50%
Oct 13

The reviewer tested three projects—a macOS browser clone, a Minecraft clone and a Call of Duty Zombies mode clone—and the results were all "okay" but far from top-tier.

Unverified50%
Oct 13

Under the same prompt, Sway2 completed the task for free in 15 minutes with better output quality; MuseWonder took 24 minutes, consumed about $18, and the result was worse.

Unverified50%
Oct 13

In both max thinking mode and the Full version, MuseWonder achieved benchmark scores higher than the previous generation MuseSpark 1.3 max with lower token consumption.

Unverified50%
Oct 13

MuseWonder is already available through the Meta Model API and MuseCode, but the API is unavailable in most EU countries and is limited to the US, Canada and other places.

Unverified50%
Oct 13

The reviewer believes MuseWonder is suitable for users who need cross-application agent collaboration, document analysis and personalized planning, rather than developers pursuing ultimate coding quality.

Unverified50%
Oct 13

Meta research shows that MuseWonder has better generalization ability on unfamiliar tasks it was not specifically trained for.

Unverified50%
Oct 12

Muse Wonder's API pricing is $4 per million input tokens and $20 per million output tokens, offered through Meta's coding service platform.

Partially Verified80%

All Facts (10)

Partially Verified

Muse Wonder's API pricing is $4 per million input tokens and $20 per million output tokens, offered through Meta's coding service platform.

80%
Partially Verified

Meta officially released the MuseWonder series of models, including the standard MuseWonder and the more powerful MuseWonder Full.

65%
Unverified

Meta research shows that MuseWonder has better generalization ability on unfamiliar tasks it was not specifically trained for.

50%
Unverified

Meta calls MuseWonder "the world's best personal and professional agent model," with use cases including understanding lease agreements, analyzing financial information and assisting with complex professional workflows.

50%
Unverified

In both max thinking mode and the Full version, MuseWonder achieved benchmark scores higher than the previous generation MuseSpark 1.3 max with lower token consumption.

50%
Unverified

MuseWonder is already available through the Meta Model API and MuseCode, but the API is unavailable in most EU countries and is limited to the US, Canada and other places.

50%
Unverified

The reviewer believes MuseWonder is suitable for users who need cross-application agent collaboration, document analysis and personalized planning, rather than developers pursuing ultimate coding quality.

50%
Unverified

Meta released the MuseWonder and WonderFull model series; Wonder is already available on the Meta model API, and WonderFull is used for MuseCoding.

50%
Unverified

Under the same prompt, Sway2 completed the task for free in 15 minutes with better output quality; MuseWonder took 24 minutes, consumed about $18, and the result was worse.

50%
Unverified

The reviewer tested three projects—a macOS browser clone, a Minecraft clone and a Call of Duty Zombies mode clone—and the results were all "okay" but far from top-tier.

50%

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