Meta has released two new large language models, Muse Wonder and Muse Wonder Full, according to Artificial Analysis. The models achieved scores of 52 and 56 respectively on the Artificial Analysis Intelligence Index v4.3 at maximum reasoning effort. This marks a significant improvement over the previous Muse Spark 1.3, which scored 48, with only a six-week gap between releases.
The release positions Meta's models against leading competitors in the AI space. According to Artificial Analysis, Muse Wonder Full (max) outperforms Claude Fable 5.1 (max) on the Intelligence Index, matches Claude Sonnet 5.5 (max), and is just shy of Claude Opus 5.5 (max). Muse Wonder is available on Meta's first-party API and Muse Code at launch, while Muse Wonder Full is currently limited to Muse Code users.
Meta Muse Wonder and Muse Wonder Full specifications
Both models share key technical specifications. They feature a context window of 1 million tokens, unchanged from Muse Spark 1.3, and accept text, image, video, and audio as input modalities, with text-only output.
Pricing details have been announced for Muse Wonder at $4 per million input tokens, $0.20 per million cached input tokens, and $20 per million output tokens. Per-token pricing for Muse Wonder Full has not yet been disclosed.
- Context window: 1M tokens for both models
- Input modalities: text, image, video, audio
- Output modalities: text only



