Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking down multi-part prompts and refining its output within the chain of thought, and invokes web search for factual accuracy on knowledge-intensive prompts.
The model supports text-to-image generation, targeted image editing, multi-image composition, reference-image conditioning for style and subject consistency across a series, and precise text rendering within generated images. Iterative editing works by passing the previous output image back with a new instruction.
Route requests across multiple providers. Copy a provider slug to set your preference.
ProviderCache Hit RateInputOutputCache readContextLatencyThroughput
Meta
meta
--$0.01/countsRead:-/ M tokensWrite:-/ M tokens66K-- Uptime
24hours
Direct request success rate on AI Gateway and per-provider.
1D1W
Throughput
24hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
1D1W
Latency
24hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
1D1W
Activity
Token volume and request traffic to this model over time.
Token Consumption
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