Meta launches Muse Spark 1.1, an agentic model that punches near flagship level on agent tasks at a very low price

Meta 发布 Muse Spark 1.1，强 Agentic 模型通过 Meta Model API 开放

Meta released Muse Spark 1.1 via a new API, built around delegating tasks to parallel sub-agents and cross-device GUI control. It leads on 4 agent benchmarks—JobBench jumped 3.2× from 17.0 to 54.7. Coding trails flagships: Terminal-Bench 80.0 vs GPT 5.5's 83.4, SWE-Bench Pro 61.5 vs Opus 4.8's 69.2. Zuckerberg pitched it as very low price, aiming for strong-enough agent performance with cheap-enough coding. The post doesn't disclose exact pricing or rollout scope.

Why it matters: Meta ships a flagship agentic model with Zuck's direct endorsement and a 3.2x JobBench leap — hard numbers, not hype. 1M context and cross-device GUI control signal product intent, not just benchmark gaming. Deduction: no pricing or latency data in the post, so real-world usab...