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Meta: muse-spark-1.2-contributor

muse-spark-1.2-contributor
100万 上下文13.1万 输出推理工具并行工具视觉音频输入视频文件缓存结构化网络搜索系统消息
发布日期 Aug 21, 2026更新时间 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分词器 Other推理级别 minimal, max内容审核

价格

输入价格
$0.20/ 100 万 token
输出价格
$0.40/ 100 万 token
兼容端点 openai供应商 Meta

在线时长

性能

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使用量与排名

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支持的参数

所有提供方:为该模型提供服务的每个上游都支持。部分提供方:取决于处理请求的上游。默认值:未设置时发送的值。

参数提供方默认值
include_reasoning所有提供方-
max_tokens所有提供方-
reasoning所有提供方-
reasoning_effort所有提供方-
repetition_penalty所有提供方-
response_format所有提供方-
structured_outputs所有提供方-
temperature所有提供方-
tool_choice所有提供方-
tools所有提供方-
top_k所有提供方-
top_p所有提供方-

常见问题

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