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Meta: muse-spark-1.2:free

muse-spark-1.2:free
1M context131.1K outReasoningToolsParallel toolsVisionAudio inVideoFilesCacheStructuredWeb searchSystem msg
Released Aug 5, 2026Updated Aug 20, 2026

Muse Spark 1.2 is a reasoning model from Meta, designed 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
$0.00/ 1M tokens
Output price
$0.00/ 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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