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Release v5.20.0

Release v5.20.0 New Model additions Muse Spark Open Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text. It has 816B total parameters (42B active per token) and a context window of up to 1,048,576 tokens shared across modalities. It is trained for agentic coding tasks such as multi-file editing, debugging, and tool use. Checkpoints are available in BF16 and NVFP4 formats. Links: Documentation | Blog Post Add Mus

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Source record

Research analysis

What changed

Source account: Release v5.20.0 New Model additions Muse Spark Open Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text. It has 816B total parameters (42B active per token) and a context window of up to 1,048,576 tokens shared across modalities. It is trained for agentic coding tasks such as multi-file editing, debugging, and tool use. Checkpoints are available in BF16 and NVFP4 formats. Links: Documentation | Blog Post Add Mus

Version & cost evidence

Recent records to compare: “Show HN: Is Android ready for AI agents? What broke in 3324 actions on 45 phones” (Hacker News, Nov 5, 2026); “Show HN: Magertron – AI Orchestrator for agents' tools, APIs, LLMs and streams” (Hacker News, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Who is affected

Identify the existing workflow this change affects before recommending an upgrade. Launch attention does not establish improvement; an API, pricing or availability change may instead create migration work.

Missing comparison points

Missing checks: old versus new behavior, affected plans and regions, availability date, compatibility, rollback path and cost under the same workload.

Migration check

Save the release or policy notice, run the same task on the old and new option, and compare outputs and the full bill. For retirement notices, verify the deadline before scheduling migration.