[KongchangAI]
Model

Muse Wonder

An AI model released by Meta Superintelligence Labs and part of the Muse series. It is positioned as a flagship or standard-tier model intended to be competitive with leading models in the industry.

Core Facts

Timeline (last 90 days)

Oct 20

Meta released two models, Muse Wonder and Muse Spark Open; Muse Wonder focuses on agents and professional work, and Muse Spark Open is an 816B-parameter MoE open-weights model.

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Oct 19

The lava lamp test targeted the regular version of Muse Wonder, while some of the standout results Meta published came from Wonder Full, and there is a capability gap between the two.

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Oct 19

Meta's official Model Card explicitly acknowledges that visual and spatial reasoning (especially 3D tasks) is a known weakness of Muse Wonder.

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Oct 19

A single lava lamp failure only shows that the model did not complete the current task and cannot directly prove that it was over-optimized for public benchmark sets.

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Oct 19

The developer community BridgeMind tested Muse Wonder with a 3D programming task (making a lava lamp), and the model produced only a red cylinder.

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Oct 18

As of October 13, Meta has released only a 13-page model card, with the safety report 'coming soon'.

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Oct 18

On Meta's own 15-test scorecard, Wonder took first place on 7.

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Oct 18

Muse Wonder has a context window of about 1 million tokens, supports text and images as input, and outputs text only.

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Oct 18

Meta released the AI model family Muse Wonder on October 12.

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Oct 18

On the SWE Marathon test, MuseWonderFull scored 57.5, the regular version 53.1, Claude Opus 5.5 46.3, and GPT-6 Astra 42.5.

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40 more timeline events

All Facts (20)

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On the Artificial Analysis index, Claude Opus 5.5 scores 58, while Gemini 4 Argon and GPT-6 Astra both score 53.

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Muse Wonder is offered through the Meta Model API and Muse Code; Muse Wonder Full is for Muse Code subscribers.

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In the Intelligence Index given by the independent evaluation organization Artificial Analysis, Muse Wonder scores only 52, while Claude Opus 5.5 reaches 58.

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

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Muse Wonder offers six reasoning levels: minimal, low, medium, high, xhigh, and max.

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The Muse Wonder series includes two model variants: Wonder (a streamlined version optimized for speed) and WonderFull (the full version provided via API).

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Meta launched two new AI models: Muse Wonder and Muse Wonder Full.

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Meta released the frontier model Muse Wonder on October 12, and launched Wonder Full at the same event.

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

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Partially Verified

Muse Spark Open can be called on the day of release through platforms such as Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.

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Muse Wonder supports a 1 million Token context window.

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In coding agent scenarios, Claude Code on Opus 5.5 scored 66, Wonder scored 63, and only Wonder Full can reach 68.

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Muse Wonder offers three Meta API request formats (Responses, Chat Completions, Messages), Muse Code, and Vercel AI Gateway and Cloudflare Workers AI integrations.

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Muse Wonder costs $4.52 per task call, an increase of nearly 3 times compared with Muse Spark 1.3, about $1 more expensive than GPT-6 Astra or Grok 4.7, but about $1.5 cheaper than Opus 5.5.

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Partially Verified

In Artificial Analysis's calculated cost per task, Muse Wonder is $4.52 and Claude Opus 5.5 is $5.98.

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Muse Wonder natively accepts text, image, video, and audio input, whereas Claude Opus 5.5 only supports text, image, and PDF.

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In the benchmark table published by Meta, Claude Opus 5.5 won 5 of 8 rows, while Muse Wonder won two software engineering metrics and a legal metric.

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Cached input still counts toward TPM; caching is a billing discount, not a rate-limit discount.

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Muse Wonder supports a 1,048,576 Token context window (per request).

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In the DeepSWE 1.1 benchmark, Muse Wonder Full achieved 79.0%, exceeding Claude Opus 5.5's 74.2% and GPT-6 Astra's 74.1%.

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