8 min read
Muse Spark Open Weights: 816B Model, Benchmarks, and How to Run It
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.
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Muse Ember: Meta's $0.10 Subagent Model vs Haiku 5.5 and Luna
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.
•7 min read
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10 min read
How to Use Claude Code and Codex With Meta Muse: Every Setup That Actually Works
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.
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8 min read
Muse Glimmer 30B: Meta's Open-Weight Local Agent Model, Benchmarks, and Hardware Reality
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.
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7 min read
Meta Ships Muse Code and Muse Spark 1.2: A Terminal Agent With a 12x Cheaper Contributor Tier
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.
9 min read
Nvidia, Microsoft, Meta, and 30+ Companies Warn Against Overregulating Open-Weight AI Models
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.
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7 min read
Meta Muse Spark 1.1 Developer Guide: First Paid Meta API for Agentic Tasks
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.
5 min read
Meta Launches Muse Spark 1.1: A Closed-Weights Agentic Model with Aggressive Pricing
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.
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10 min read
SAM 3.1: Realtime Video Segmentation in Apps
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.
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10 min read
Llama 4: The Complete Developer's Guide to Meta's Open Source Models
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.
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8 min read
Llama 3.3 70B: Meta's Cost-Effective Frontier Model
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.
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