Cinemagiq
    Head-to-head

    GPT Image 2 vs Nano Banana 2: The Instruction-Followers Compared

    OpenAI's GPT Image 2 and Google's Nano Banana 2 are the two best instruction-following image models. Here's which wins for film work.

    OpenAI · image
    GPT Image 2

    OpenAI's GPT Image 2 and GPT Image 1.5 in 1:1, 3:2 and 2:3 frames

    Strengths
    • Three fixed, predictable sizes
    • Low, medium and high quality levels
    • Up to 4 reference images
    • GPT Image 1.5 available for matching earlier work
    Best for
    • Landscape concept art in 3:2
    • Posters and portraits in 2:3
    • Location scouting stills
    • Square prop and icon images in 1:1
    Watch-outs
    • Only 1:1, 3:2 and 2:3; no 16:9, 9:16 or 21:9.
    • No Camera Angle Control, so describe the camera in the prompt.
    • Reference tags like @image1 reach the model as plain text, so describe each reference in words.
    Google DeepMind · image
    Nano Banana 2

    Google's Nano Banana 2 for stills up to 4K, plus Nano Banana 2 Lite

    Strengths
    • Renders from 0.5K up to 4K
    • Up to 10 reference images (14 on Nano Banana 2 Lite)
    • 14 aspect ratios, including panoramic formats
    • Camera Angle Control on Nano Banana 2 and Nano Banana 2 Lite
    Best for
    • Concept art and illustration
    • Costume, prop and character sheets
    • 1K drafts and look tests with Nano Banana 2 Lite
    • Matching frames made earlier with Nano Banana 2
    Watch-outs
    • Nano Banana 2.1 is the newer model and the Cinemagiq default, so start there for new work.
    • Nano Banana 2 Lite renders 1K only and has no panoramic ratios.
    • Camera Angle Control steers the prompt and does not guarantee the angle.

    The verdict

    These are the two models that best understand what you actually asked for. GPT Image 2 is unmatched on complex, multi-constraint instructions - the shot list turned into a frame. Nano Banana 2 counters with superb editing and iteration on existing images, making it a natural fit for refining boards and maintaining continuity across frames.

    When to pick GPT Image 2

    Pick GPT Image 2 when the prompt is complicated - specific staging, multiple characters, exact props - and you want it followed to the letter.

    When to pick Nano Banana 2

    Pick Nano Banana 2 for iterative editing: adjusting an existing frame, keeping a character consistent across a sequence, or surgical changes without regenerating the world.

    The practical answer for most productions is both: match the model to the shot. Read more about GPT Image 2 and Nano Banana 2 in the model directory, or see the full ranking in the best AI video models of 2026.

    Frequently asked questions

    Which is better for storyboards, GPT Image 2 or Nano Banana 2?

    Draft the board with GPT Image 2 for its instruction-following, then iterate and fix continuity with Nano Banana 2's editing strengths. On a platform like Cinemagiq you can use both per panel.

    Use GPT Image 2 and Nano Banana 2 in one pipeline

    Cinemagiq lets you pick the model per shot - draft cheap, finish premium, all in one production workspace.

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