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Meta: Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

Specifications

ProviderMeta
Model IDmeta/muse-spark-1.3
Context window1.0M tokens (1,048,576)
Modalitiestext + image + file + video → text
TokenizerOther
Router sourcesOpenRouter, TrustedRouter, Vercel AI Gateway, Cloudflare
Released2026-09-02
Tracked since2026-11-14
PopularityNot in the ranked set
ReasoningMandatory

Pricing (per million tokens)

VariantSourceAPI IDInputOutputContext
standardOpenRoutermeta/muse-spark-1.3$1.25$4.251.0M
standardTrustedRoutermeta/muse-spark-1.3$1.32$4.481.0M
standardVercel AI Gatewaymeta/muse-spark-1.3$1.25$4.251.0M
standardCloudflaremeta/muse-spark-1.3$1.25$4.25—

Recorded price history

DateInput / 1MOutput / 1MContext
2026-11-14$1.25$4.25—
2026-11-14$1.25$4.251.0M
2026-11-14$1.32$4.481.0M
2026-11-14$1.25$4.251.0M

Capabilities

Vision (image input)Video inputFile inputAgentic tool useStructured outputsReasoning (always on)1M+ context windowControllable reasoningNo content storage (attested)Zero data retentionNo training on inputs (attested)

Trust flags come from TrustedRouter's per-provider attestations.

Supported parameters

include_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_k, top_p