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Meta: muse-spark-1.2-contributor

muse-spark-1.2-contributor
100萬 上下文13.1萬 輸出推理工具並行工具視覺音訊輸入影片檔案快取結構化網路搜尋系統訊息
發布日期 Aug 21, 2026更新時間 Aug 26, 2026

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark 1.2. Your prompts and outputs may be used to improve Meta’s products, making it ideal for experimentation, learning, and early-stage projects without worry about spend. It is a reasoning model from Meta, tailored for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing, it performs well on multi-file refactors, extended debugging sessions, whole-repository generation, and tasks that stretch well past a single prompt.

模式 chat分詞器 Other推理級別 minimal, max內容審核

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$0.20/ 100 萬 token
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$0.40/ 100 萬 token
相容端點 openai供應商 Meta

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