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MODEL FIELD GUIDE

Mistral Large 4 0: Pelican

Multimodal MoE with text and image input, adjustable reasoning, tool calling and structured outputs. Available as a public API preview.

Drawn by this model01 / 01
Pelican benchmark result generated by this model
SVG BENCHMARKPelicanView result

A good fit for

Coding agents and document analysis that combine image input, long context, tool calling and structured responses.

Total parameters
1.05Tparameters[1]
License
Weights and license coming soon[1]
Model factsArchitecture, context & capabilities
First available
2026-10-06[1] [2]
Developer
Mistral AI[1] [2]
Family
Mistral[1] [2]
License
Weights and license coming soon[1]
Architecture
Granular mixture of experts (MoE); multimodal text and image input, text output.[1] [3]
Total parameters
1.05T[1]
Input
text, image[3] [4]
Output
text[3] [4]
API access & pricingOpenRouter · $0.68 input / $2.09 output · per 1M tokens

Recorded 2026-10-06: OpenRouter preview (2026-10-06): USD $0.68 input, $0.07 cached input read and $2.09 output per 1M tokens.

[3] [4]
  • OpenRouterObserved 2026-10-06
    Input $0.68Output $2.09Cached read $0.07

    per 1M tokens

    mistralai/mistral-large-4-0[3]
  • OpenRouterObserved 2026-10-06
    Input $0.68Output $2.09Cached read $0.07

    per 1M tokens

    Historical rates

    mistralai/mistral-large-4-0[3] [4]
Measurements & sources4 primary references

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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