Gemini 3 Pro Image

Pricing — 1 offering(s)

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Capability profile

Operator guidance

Route here when text accuracy, infographic/diagram generation, or overall quality matters more than speed or cost — the flagship Gemini-native image model. Step down to Gemini 3.1 Flash Image for faster, cheaper generation when peak accuracy isn't required, or to Imagen 4 for a more conventional dedicated diffusion pipeline within the same Google Cloud/Vertex AI stack.

Use cases

• Text-heavy visuals — posters, diagrams, infographics with multi-language legible text
• Character-consistent series work — up to 5 characters and 14 objects held consistent across generations, per DeepMind's own model page
• Higher-stakes generation/editing where accuracy matters more than speed (the Flash Image sibling is the faster/cheaper choice)

Limitations

• Google DeepMind's own model page discloses genuine weaknesses: occasional struggles with small faces, spelling accuracy, and complex image blending — recorded here rather than smoothed over
• No independently published GenEval / T2I-CompBench score found — capability ratings above are vendor-stated except where a disclosed weakness is noted
• A widely-repeated press claim of a strong Artificial Analysis Image Arena ranking could not be independently confirmed this session (JS-rendered leaderboard, not fetchable) — deliberately not cited
• Architecture classification (diffusion-transformer) is the closest vocabulary match to secondary technical reporting on Gemini's image generation, not a Google-confirmed specific

Citations

• Gemini 3 Pro Image — Nano Banana Pro (Google DeepMind's own model page)
• Nano Banana Pro launch post (Google's own blog)