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All blog posts, tools, and guides about Meta from Developers Digest.
13 resources - 11 posts, 2 tools

Muse Ember lists at $0.10 in and $0.50 out per million tokens, the same sticker as Haiku 5.5 and GPT-6 Luna. Here is what actually separates them.

Meta released Muse Spark Open weights on October 15, 2026: 816B total, 42B active, 1M context. Run recipes, hardware floor, license catch, and where it trails.

Claude Code and Codex with Meta Muse: run both agents on Muse Spark 1.3 via the Meta Model API, use OpenCode Go, or import your setup into Muse Code.

Muse Glimmer 30B is Meta's Apache 2.0 open-weight multimodal agent model that runs in 24GB. Benchmarks, hardware reality and what the numbers actually say.

Meta Muse Code is a terminal coding agent co-trained with Muse Spark 1.2. How the harness works and what the $0.10/$0.20 contributor tier asks in return.

An open letter from Nvidia, Microsoft, Meta, OpenAI and 30+ signers defends open-weight AI models. What it argues, who stayed out, and how HN reacted.

Meta Muse Spark 1.1 developer guide: Meta's first paid model API, with 1M-token context, OpenAI-compatible endpoints, pricing and setup for agentic tasks.

Meta Muse Spark 1.1 is Meta's first paid, closed-weights API model, with $1.25/M input tokens and 1M context. The pricing, benchmarks and HN debate.

SAM 3.1 makes Meta's Segment Anything fast enough for realtime video. How to wire it into a production pipeline and the gotchas to plan for.

Llama 4 developer guide to Scout and Maverick, the open mixture-of-experts models from Meta: run them locally, call them via APIs and know when to pick them.

Llama 3.3 70B delivers 405B-class performance at a fraction of the cost. See the benchmarks, pricing versus GPT-4o, where to run it, and when to pick it.
Meta's open-weight model family. Llama 4, released April 5, 2025, comes in Scout (109B total, 17B active) and Maverick (400B total, 17B active). Commercial use under the Llama license.
AI ModelsThe long-standing JavaScript test framework, now stewarded by the OpenJS Foundation. Snapshots, mocks, parallelism, and the broadest plugin ecosystem in the JS testing world.
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