nano-banana is Google’s lightweight image generation model exposed through the same OpenAI Images protocol surface as the rest of the gateway’s image tier. The trade-off relative to gpt-image-2: materially cheaper per image, with somewhat looser fidelity on in-image typography and complex composition. The right default when you’re generating at volume — programmatic thumbnails, A/B test images, internal mockups.
Pricing: $0.018 / image — see the rate card. Failures don’t bill; pricing sits below gpt-image-2 and above the lowest seedream tier.
Protocols
| Protocol | Path |
|---|---|
| OpenAI Images | POST https://llm.bytespike.ai/v1/images/generations |
Quickstart
Capabilities
| Capability | Supported |
|---|---|
| Text-to-image | ✅ |
n ≥ 2 batch generation | ✅ |
size 1024×1024 / 1024×1792 / 1792×1024 | ✅ |
| Image-to-image | — (use nano-banana-v2) |
response_format url / b64_json | ✅ |
| Modality | image |
| Capability bucket | image_generate |
When to use
- Volume work —
n=4batches for A/B testing, thumbnail generation, programmatic asset pipelines. - Cost-sensitive defaults — when an internal tool needs an illustration and the budget can’t carry
gpt-image-2. - Acceptable for typography-light scenes — landscapes, abstract, minimalist illustrations.
- In-image typography matters — go to
gpt-image-2. - You need image-to-image edits — go to
nano-banana-v2.
Next
nano-banana-v2— successor with image-to-imagegpt-image-2— OpenAI flagshipseedream-v5lite— cheapest tier for Chinese aesthetic