Models & Labs
Meta Muse Spark Open launches on Together AI
Together AI Bloghigh confidence
Why it matters
- →The 1M-token context window enables agents to understand entire codebases without splitting tasks, a critical requirement for complex refactoring.
- →Early integration by major infrastructure players like Ollama suggests rapid adoption in the developer tooling stack.
- →Built-in intent commentary addresses the black-box problem of autonomous agents, making long-horizon coding tasks more auditable.
Meta has released Muse Spark Open on Together AI as a Day 0 partner launch. The model features a 1M-token context window designed for long-running agentic coding workflows, allowing it to maintain context across entire codebases. It supports multimodal inputs and includes intent commentary for auditability. Early access customers Factory and Ollama have integrated the model for production use. Pricing is set at $1.25 per 1M input tokens and $4.25 per 1M output tokens.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
