Tasks and inputs
Gemini Nano Banana 2.1 is listed for Image-text-to-image, Text-to-image. It accepts text, image, video, pdf and produces image, text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Gemini Nano Banana 2.1 is Google's image-generation and conversational-editing model released. It accepts text, images, video and PDFs and returns images and text.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Gemini Nano Banana 2.1 is Google's image-generation and conversational-editing model released. It accepts text, images, video and PDFs and returns images and text.
Use it when a visual job includes supplied assets: adapting a product image, revising an illustration or creating a layout from a brief. The documented API supports up to 14 reference images and 1K, 2K and 4K output resolutions. Inspect faces, lettering and small objects at the delivered size before accepting an output.
This is an image workflow, with optional thinking and search grounding. Function calling, structured outputs, caching and Live API are not supported. A generic text-agent wrapper can send incompatible options; keep the image request separate from any surrounding tool orchestration.
Test a sequence of revisions rather than one attractive sample. Check whether requested changes preserve the parts of the image that should stay consistent, and whether a later edit introduces an unwanted detail. Keep the original references and prompts with the result so another person can reproduce the review.
Compare it with Google's other image models. For budgeting, use the current image-generation pricing and selected resolution rather than a text-output token rate.
Compare the model on the work you need to complete.
Gemini Nano Banana 2.1 is listed for Image-text-to-image, Text-to-image. It accepts text, image, video, pdf and produces image, text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 131.07K context and 32.77K maximum output. Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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