Meta: Muse Spark 1.2Active

meta/muse-spark-1.2

Muse Spark 1.2 is a reasoning model from Meta, designed 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.

By:MetaInput Type:Output Type:Publish time:2026-08-06

Providers

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

ProviderCache Hit RateContext

Uptime

24hours

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

Oct 26, 18:24

Meta100.00%

Throughput

24hours

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

No data

Latency

24hours

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

No data

Activity

Token volume and request traffic to this model over time.

Token Consumption

Oct 25

Meta2.1K

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

DeepSeek V4.1 Flash 1017

Gemini 3.7 Flash

Muse Spark 1.2 Meta

Intelligence Index39.6

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 app usage is available for this period.

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