stealthmodels.

MODEL FIELD GUIDE

Muse Spark 1.3: Beach

Meta's hosted reasoning model handles text, images and video within a million-token-class context through an OpenAI-compatible API.

Drawn by this model01 / 01
Beach benchmark result generated by this model
SVG BENCHMARKBeachView result

A good fit for

Multimodal analysis and coding agents that need Meta's hosted models without running an open-weight checkpoint.

Context window
1,048,576tokens[2]
Model factsArchitecture, context & capabilities
First available
2026-09-02[1]
Developer
Meta[1] [2]
Origin
United States[3]
Family
Muse Spark[1] [2]
Context window
1,048,576 tokens[2]
Input
text, image, video, audio, PDF[2]
Output
text[2]
API access & pricingOpenRouter · $1.25 input / $4.25 output · per 1M tokens

Meta Model API; input 1.25 USD/1M; cached read 0.15/1M; output 4.25/1M; Standard tier; prompts/completions are not used to improve Meta products. Contributor variant is a distinct provider model ID and is not substituted here.

[4]
  • OpenRouterObserved 2026-10-06
    Input $1.25Output $4.25Cached read $0.15

    per 1M tokens

    meta/muse-spark-1.3[5]
  • Meta Model APIObserved 2026-10-06
    Input $1.25Output $4.25Cached read $0.15

    per 1M tokens

    Available

    muse-spark-1.3[4]
Measurements & sources6 primary references · Speed & serving conditions

StealthMark score

StealthMark measures fluid and visual intelligence of AI models.

General and Visual

General Intelligence

Perspective, anatomy, correct shadows, purposeful detail and physical consistency.

Visual Intelligence

Likeness, anatomy, detail, light, materials, composition and artistic expression.

Judging

Frontier Models blindly judge the AI generation unbiased through an intricate process. Our researchers control for mistakes.

Overall score

Overall combines weighted task scores on a scale from 0 to 100. Repeating a task does not increase its weight. Estimated means the total includes an estimate for one missing scene.

Benchmaxxing

Benchmaxx flags models that score unusually well on the familiar Pelican task compared with their other benchmark results. The percentage measures that imbalance, not the probability of training contamination. Flagged Pelican scores are excluded from Overall. Pelican never counts toward General or Visual.

We keep some prompts private to discourage test-specific optimization.

Scoring categories

Prompt & likeness

Subjects, actions and likeness.

Anatomy & construction

Coherent bodies, joints and machinery.

Space & placement

Perspective, scale and contact.

Light & reflections

Lighting, shadows and reflections.

Purposeful detail

Clear, purposeful small features.

Artistry & character

Composition, expression and drawing skill.

Materials & effects

Surfaces, texture and movement.

Visual integrity

Clean shapes, layers and edges.

BENCHMARK RESULTS

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StealthMark benchmark results

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