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Meta: muse-spark-1.2-contributor

muse-spark-1.2-contributor
1M Kontext131.1K AusgabeReasoningToolsParallele ToolsVisionAudio (Eingang)VideoDateienCacheStrukturiertWebsucheSystem-Msg
Veröffentlicht Aug 21, 2026Aktualisiert 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.

Modus chatTokenizer OtherReasoning-Stufen minimal, maxModeriert

Preise

Input-Preis
$0.20/ 1 Mio. Tokens
Output-Preis
$0.40/ 1 Mio. Tokens
Kompatible Endpunkte openaiAnbieter Meta

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Unterstützte Parameter

Alle Anbieter = jeder Upstream, der dieses Modell bereitstellt, unterstützt den Parameter. Einige Anbieter = hängt vom Upstream ab, der die Anfrage bearbeitet. Standard = der Wert, der gesendet wird, wenn nichts gesetzt ist.

ParameterAnbieterStandard
include_reasoningAlle Anbieter-
max_tokensAlle Anbieter-
reasoningAlle Anbieter-
reasoning_effortAlle Anbieter-
repetition_penaltyAlle Anbieter-
response_formatAlle Anbieter-
structured_outputsAlle Anbieter-
temperatureAlle Anbieter-
tool_choiceAlle Anbieter-
toolsAlle Anbieter-
top_kAlle Anbieter-
top_pAlle Anbieter-

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