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Meta: muse-spark-1.2-contributor

muse-spark-1.2-contributor
1M context131.1K outReasoningToolsParallel toolsVisionAudio inVideoFilesCacheStructuredWeb searchSystem msg
Released Aug 21, 2026Updated 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.

Mode chatTokenizer OtherReasoning levels minimal, maxModerated

Pricing

Input price
$0.20/ 1M tokens
Output price
$0.40/ 1M tokens
Compatible endpoints openaiVendor Meta

Uptime

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
include_reasoningAll providers-
max_tokensAll providers-
reasoningAll providers-
reasoning_effortAll providers-
repetition_penaltyAll providers-
response_formatAll providers-
structured_outputsAll providers-
temperatureAll providers-
tool_choiceAll providers-
toolsAll providers-
top_kAll providers-
top_pAll providers-

Frequently asked questions

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