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Meta: muse-spark-1.1:free

muse-spark-1.1:free
1M context131.1K outReasoningToolsParallel toolsVisionVideoFilesCacheStructuredWeb searchSystem msg
Released Jul 16, 2026Updated Oct 16, 2026

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window. The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates or as a subagent, and generalizes zero-shot to new tools, MCP servers, and custom skills. It supports structured output, parallel function calling, built-in search with citations, and configurable reasoning effort. Meta reports strong performance on real-world coding across large codebases, computer-use workflows, and visual-to-code generation.

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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