Gemini 3.1 Flash Image: Input Tokens, Output Tokens and Image Size

Separate the generated picture from surrounding text

Google lists gemini-3.1-flash-image as an image generation and editing model. The paid Standard table has input text/image at $0.50 per million tokens, text/thinking output at $3 per million, and image output at $60 per million generated-image tokens. The output image cost changes with generated token count, which is tied to resolution. A prompt containing references has input cost in addition to final imagery, and generated commentary may also be output-billed.

Resolution changes the practical unit

The official illustrative equivalents are approximately $0.045 for a 0.5K image, $0.067 for 1K, $0.101 for 2K and $0.151 for 4K under the Standard table. These are vendor examples, not guaranteed all-in job prices. Editing an image may require input image tokens; multiple candidates, retries or extra text can further increase consumption. Do not estimate a production campaign by multiplying image count by the cheapest thumbnail rate if final assets require 4K output.

Batch is not an instant render toggle

Google publishes separate Batch token prices. A discount may be suitable for independent overnight asset generation but poor for a creative session with iterative approvals. Image references, safety constraints and model changes also mean different attempts may consume variable resources. Keep the distinction between model-defined token meters and platform-level per-render subscription credits: the two are not directly convertible. Successful API billing can also differ from an application subscription that bundles editing features.

Budget a real workflow, not an ideal one-shot prompt

Consider a hypothetical storyboard needing 120 accepted 1K images and assume 1.4 attempts per accepted image. That implies 168 generated attempts. Applying only the approximate $0.067 image-output component produces $11.26 before image/text input, extra generated text and any other service. The attempt factor is a planning assumption, not evidence of the model’s failure rate. Audit actual token telemetry to replace that assumption with measured results.

Before choosing a paid tier

Obtain the billing quote for the exact Google product, account geography, tier, model or subscription, currency and commitment length. If the provider offers several kinds of meters, forecast each independently rather than summing quantities in incompatible units. The relevant captured meters here include approx_image_output_1k, approx_image_output_4k, input_text_image_tokens_per_1m, output_image_tokens_per_1m. Build a low, expected and high workload from your own request logs or editorial schedule; a pricing page is not a credible estimate of how many retries or approvals your team will need.

For governance, add an approval threshold for paid overages, reconcile invoices with metered activity, and schedule a quarterly or release-triggered source audit. The absence of an identified enterprise rate, promotional expiry or regional tax line is not evidence that the amount is zero. This guide does not represent a product trial, capability benchmark, procurement offer or warranty of uninterrupted access.

Historical availability and boundaries

Preserve the precise source version, checked date and any stated effective date before reusing these figures. A model launch announcement may confirm an introductory token rate without proving which private offers remain available; a mutable plan page can describe a later product state. If a source changes after this cutoff, publish a new snapshot instead of silently editing the historical record. Specialised product evaluations belong to the relevant AI 02–09 editorial teams, while this article documents the billing model and its limitations.