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All blog posts, tools, and guides about Meta from Developers Digest.
7 resources - 5 posts, 2 tools

Meta launches Muse Spark 1.1 through the new Meta Model API - a 1M-token-context model for personal agentic tasks with OpenAI-compatible endpoints, $20 free credits, and pricing that undercuts the competition.

Meta's first paid API model arrives with $1.25/M input tokens, 1M context window, and strong tool-use benchmarks. HN debates what it means for the open-weights company.

SAM 3.1 finally hits the latency budget for realtime video. Here is how to wire Meta's new segmentation model into a production pipeline without melting your GPU.

Meta's Llama 4 family brings mixture-of-experts to open source with Scout and Maverick. Here's how to run them locally, access them through APIs, and decide when they beat the competition.

Meta surprised the AI community with Llama 3.3, a 70 billion parameter model that delivers 405B-class performance at a fraction of the cost. Here is what the benchmarks show, where to run it, and why this release matters for developers building with open-source models.
Meta's open-source model family. Llama 4 available in Scout (17B active) and Maverick (17B active, 128 experts). Free to use, modify, and deploy commercially.
AI ModelsThe long-standing JavaScript test framework from Meta. Snapshots, mocks, parallelism, and the broadest plugin ecosystem in the JS testing world.
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