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Meta: Muse Spark 1.3 ContributorActive

meta/muse-spark-1.3-contributor
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Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed. Prompts and outputs may be used to improve Meta’s products.

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

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext
Meta
meta
93.7%$0.1/ M tokens$0.2/ M tokensRead:0.002/ M tokensWrite:-/ M tokens1.05M2.75s126tps

Uptime

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

Oct 26, 20:14
Meta100.00%

Throughput

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

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Oct 26, 19:00
Meta2.75s

Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Meta72.1M

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

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

Metrics sourced fromArtificial Analysis

No data
No benchmark data is available for this model.

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

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