Top 5 image models – overall score

    What to use for each task

     

    Best for creating a campaign asset in your brand guidelines: GPT Images 2.0

    Best for creating physically plausible and believable images: GPT Images 2.0

    Best for images that look clean under close inspection: Seedream 5.0 or Nano Banana 2

    Best for recreating fonts: GPT Images 2.0

    Best for using reference images coherently: GPT Images 2.5 Flare

    Best for generating assets with the skills of an experienced graphic designer: GPT Images 2.5 Flare

     

    The leaderboard

    Model Image Generation Scores
    Rank
    (overall)
    Vendor Model Brand system
    adherence
    Realism and
    physical coherence
    Visual
    integrity
    Typographic
    execution
    Reference image
    fidelity and capability
    Graphic design
    composition and acumen
    Overall
    image score

    * model retired

    Our scoring panel is made up of specialist creatives and designers from the Definition brand and marketing team.

    They have been creating visual identities, design systems and campaigns for brands like Zizzi, TfL, Celerity, 8×8 and Citi for decades.

    How it works

    We test every major text-to-image model across six core capabilities:

    1. Brand system adherence
    2. Realism and physical coherence
    3. Visual integrity
    4. Typographic execution
    5. Reference image fidelity and capability
    6. Graphic design composition and acumen

     

    Our specialists, led by Eliza Mackay, review outputs designed to test each capability and grade the model out of 10 for each.

    We add new models to the table soon after their release. Benchmark programme led by Tom Pallot.

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    More detail on the scores

    When our creative team reviews the outputs, they’re assessing each capability against these criteria:

    Brand system adherence

    How well can the model create a campaign asset that adheres to a set of brand guidelines?

    • Brand colour adherence
    • Photography/visual-style adherence
    • Use of typographic and graphic characters
    • Inclusion of required elements and avoidance of prohibited ones
    • Overall coherence and ability to manage multiple constraints

    Realism and physical coherence

    How physically plausible and believable is the image the model produces?

    • Human and animal anatomy
    • Object geometry
    • Contact and interaction between subjects
    • Lighting and shadow consistency
    • Materials, scale and overall plausibility

    Visual integrity

    How clean and artifact-free are the model’s textures and surfaces under close inspection?

    • Continuity of repeating surfaces
    • Cleanliness of smooth surfaces and gradients
    • Edge integrity
    • Absence of blocky overlays, ripples, seams and texture bleeding
    • Overall image integrity when viewed closely

    Typographic execution

    How well can the model typeset copy in a specified font and hold its legibility across sizes?

    • Typeface fidelity
    • Legibility at size
    • Spacing quality
    • Consistency
    • Restraint

    Reference image fidelity and capability

    How well can the model combine multiple reference images into one coherent new image?

    • Preservation of proportions, colours, materials, details
    • Correct placement and scale
    • Natural integration of the garment onto the person
    • Competent integration of the environment
    • Preservation of the person’s identity and proportions

    Graphic design composition and acumen

    How well can the model produce an asset with strong layout, hierarchy, and spacing?

    • Visual hierarchy
    • Alignment and grid
    • Spacing and safe margins
    • Balance and use of negative space
    • Focal path and overall production usability
    • Use of complementary colours