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Meta: Muse Spark 1.3Active

meta/muse-spark-1.3
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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.

By:MetaInput Type:Output Type:Publish time:2026-09-03

Providers

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ProviderCache Hit RateContext
Meta
meta
77.5%$1.25/ M tokens$4.25/ M tokensRead:0.15/ M tokensWrite:-/ M tokens1.05M2.27s97.7tps

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Oct 26, 17:34
Meta100.00%

Throughput

24hours

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Oct 26, 17:00
Meta97.7 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.

Token Consumption

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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

Token Ranking
No data
No app usage is available for this period.

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