Muse Spark 1.1 (Fully Tested): Okay, it's SO GOOD!

In this video, I'll be testing Meta’s new Muse Spark 1.1 model, their first real frontier multimodal reasoning model built for agentic tasks, tool use, coding, UI generation, and long-context workflows through the new Meta Model API. -- Key Takeaways: 🚀 Meta has officially entered the frontier model race with Muse Spark 1.1 from Superintelligence Labs. 🧠 Muse Spark 1.1 is a multimodal reasoning model with coding, tool use, computer use, and agentic capabilities. 📚 The model supports a one-million-token context window and can actively manage long sessions. 📊 Meta claims strong benchmark results on MCP Atlas and other tool-use benchmarks, but weaker performance on Terminal-Bench. 💸 Pricing is fairly reasonable at $1.25 per million input tokens and $4.25 per million output tokens. 🧪 In KingBench testing, Muse Spark 1.1 scored 48 out of 70, or 68.57%. 🎨 The model showed strong UI design skills, even when some logic and implementation details failed. 🛠️ It performed very well on agentic tasks, hard math, and tool-based workflows. ⚠️ The model still has consistency issues and poor file awareness in parallel agent setups. 👍 Overall, Muse Spark 1.1 is a strong first frontier attempt from Meta, especially for agentic tasks and UI generation.