Muse Spark Open: weights released 2026-10-15, an 816B total / 42B active MoE with a native multimodal Perception Encoder and a 1,048,576-token context window. Third-party API pricing is $1.25 input / $4.25 output per 1M tokens ($0.15 cached input) — identical to the closed Muse Spark 1.2 from two months earlier. In Meta's own comparison table, Muse Spark Open tops every listed model on JobBench (61.8) and MCP-Atlas (89.2), but scores only 39 on the AA Intelligence Index, behind GLM 5.3 (45) and Kimi K3 (44). It's also the first model of its size to run fully on two Apple M5 Ultra Mac Studios via MLX.
Muse Wonder (API-callable) and Muse Wonder Full (Muse Code subscription only): released 2026-10-12, 1,048,576-token context, $4.00/1M input tokens (cached $0.20) / $20.00/1M output tokens — exactly matching Claude Opus 5.5. Meta's own benchmarks show Terminal-Bench 4.0-AA at 85.6 (Wonder) / 85.5 (Full), both ahead of Opus 5.5's 81.5, and SWE-Marathon at 78.8/79.0 versus Opus 5.5's 74.2. But independent evaluator Artificial Analysis puts Wonder at an Intelligence Index of 52 (9th of 219 models) and Wonder Full at 56 (4th of 699) — below both Meta's self-reported 56/59.0 and Opus 5.5's 58. This is Meta's first frontier-scale release since its August 2025 AI reorg, and the two checkpoints split capability asymmetrically: Wonder leads on AutomationBench and GDP.pdf, while Full leads by a wide margin on JobBench, Vals Finance, and MemoryBench.
Muse Spark is Meta's closed-source agentic model line: version 1.3 combines a 1M-token context, multimodal inputs, and long-horizon tool loops. Standard pricing is $1.25/$4.25 per 1M input/output tokens, while Contributor drops to $0.10/$0.20 in exchange for training rights. It is not the next Llama; it is a separate product line built around models, APIs, and coding agents.