Meta: Muse Image 1.0Active

meta/muse-image-1.0

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.

By:MetaInput Type:Output Type:Publish time:2026-08-27

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, 18:49

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

Meta98.4K

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 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

No app usage is available for this period.

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