# Meta's Muse Spark Open Targets Agentic Coding

> The open-weight model pairs a million-token context window with a focus on long-horizon code tasks.

Published by The Open Weights on Oct 15, 2026. Canonical: https://theopenweights.com/news/meta-muse-spark-open-2w4e

## Key facts

- Company: Meta AI
- Model: Meta Muse Spark Open
- Version: Spark Open
- Category: Code
- Modalities: Code, Text / LLM
- License: Llama Community (Open weights, commercial use allowed)
- Context window: 1M tokens
- Significance: notable
- Published: 2026-10-15
- Last verified: 2026-10-28
- Canonical URL: https://theopenweights.com/news/meta-muse-spark-open-2w4e

Meta AI has introduced **Muse Spark Open**, an open-weight model aimed squarely at agentic coding, according to the company's [research blog](https://research.meta.ai/blog/muse-spark-open). The release leans on a 1-million-token context window, a scale meant to keep entire codebases, logs, and task histories in view as the model works through multi-step engineering problems.

The pitch here is less about raw chat quality and more about sustained, tool-using work. Agentic coding — where a model plans, edits across many files, runs through long sequences of actions, and course-corrects — tends to strain shorter context limits. A seven-figure token budget gives the model room to reason over large repositories without aggressive truncation or retrieval gymnastics.

## Why it matters

Meta is framing Muse Spark Open as the most capable US open-weight model to date, a claim that signals where it wants to compete as open releases from other regions have gained ground. For developers and teams, the practical appeal is concrete:

- Open weights under the **Llama license**, allowing self-hosting and customization
- A **1M-token context** suited to whole-project reasoning
- A design orientation toward **agentic, long-horizon code tasks** rather than single-shot completions

As with any Llama-licensed release, the terms carry use restrictions that fall short of a fully permissive open-source license, so teams will want to check the conditions before building on it. Still, a large-context, coding-focused model with published weights lowers the barrier for groups that need to run agents in controlled environments. The full details are available on Meta's [research blog](https://research.meta.ai/blog/muse-spark-open).

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Meta's Muse Spark Open Targets Agentic Coding", The Open Weights, Oct 15, 2026, https://theopenweights.com/news/meta-muse-spark-open-2w4e