Leonardo AI vs OpenAI API

Yes. All Leonardo AI plans grant full ownership and unrestricted commercial rights to generated images, allowing creators to sell AI-generated art and use outputs in commercial products.

API inputs and outputs are not used for training by default, which differs from the consumer product. Retention periods and enterprise terms change, so read the current data usage policy rather than trusting a summary.

The Real-Time Canvas is a freeform workspace where images generate as you draw, type prompts, or add elements, updating the output approximately every 2 seconds per stroke, supporting inpainting, outpainting, and composite editing.

No. The weights are not distributed. If self-hosting is a requirement, you are looking at open-weight models instead, with the operational and quality trade-offs that implies.

Leonardo API supports both in-house models (Phoenix, Lucid Origin, Lucid Realism) and third-party models including FLUX.1, Ideogram 3.0, GPT Image, Kling, Veo, and others under a unified pay-as-you-go API surface.

Per token, with input and output priced differently and each model priced differently. Batch processing and cached input prefixes reduce it. The practical consequence is that your bill is a function of prompt design, not just of request count.

The free plan provides 150 tokens per day enabling hundreds of images per month, but outputs are non-commercial only; paid plans starting at $12/month unlock commercial rights and higher token allocations.

The same model family delivered by Microsoft under an Azure contract, with Azure identity, networking and regional controls, and a different release cadence for new models. Enterprises with an Azure agreement often choose it for procurement and data residency reasons rather than technical ones.

Cap input length, cache repeated prefixes, route easy requests to smaller models, use the batch path where latency does not matter, and set per-user limits before launch rather than after the first surprising invoice.