stealthmodels.

MODEL FIELD GUIDE

Union Alpha: Selfie

Pareto 26.9, first seen as Union Alpha, combines multiple models in one hosted system. This record retains that version's identity and benchmark history.

Drawn by this model01 / 01
Selfie benchmark result generated by this model
SVG BENCHMARKSelfieView result

A good fit for

Comparing the 26.9 system's cost and capability with individual models. Check the selected API version because the unversioned route has advanced.

Context window
262,000tokens[3]
Model factsArchitecture, context & capabilities
First available
2026-09-20[1]
Developer
Circuit & Chisel / Unbiased[1] [2] [3]
Origin
United States[4]
Family
Pareto[1] [2] [3]
Context window
262,000 tokens[3]
Maximum output
131,000 tokens[3]
Input
text, image[1] [3]
Output
text[1] [3]
API access & pricingUnbiased · $2.5 input / $7.5 output · per 1M tokens

Pareto 26.9 historical rates: USD $2.50 input, $0.25 cached input and $7.50 output per 1M tokens. The unversioned route now serves 26.10 Preview.

[3] [5] [6]
  • UnbiasedObserved 2026-10-06
    Input $2.5Output $7.5Cached read $0.25

    per 1M tokens

    Historical rates

    unbiased/pareto[3]
Measurements & sources6 primary references · Speed & serving conditions
  • AI BENCHY via Union Alpha guideObserved 2026-10-06

    31.51 s end-to-end response time

    Average end-to-end response time across 22 tests.

    [3]

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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