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 conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.
Providers #
Route requests across multiple providers. Copy a provider slug to set your preference.
$1.25
/ M tokens $4.25
/ M tokens Read:
0.15/ M tokens
Write:
-/ M tokens1.05M2.03s57.4tps
Uptime #
24hours Direct request success rate on AI Gateway and per-provider.
Throughput #
24hours P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency #
24hours P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity #
Token volume and request traffic to this model over time.
Apps #
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All
Related Models #
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