Credits and Monthly Limits
Overview
Idealy tracks image credits with a single shared credit calculator across:
- credit limit checks
- header "credits remaining" meter
- user/admin credit breakdowns
Monthly limits by tier
| Tier | Monthly credit limit |
|---|---|
| Starter | 250 |
| Plus | 500 |
| Pro | 1000 |
Credit counting resets on the first day of each calendar month.
Image generation credit costs
| Cost | Model/API type |
|---|---|
| 0.5 credits | GPT1 Mini, GPT1 Mini Edit |
| 2 credits | Nano Banana 2, Nano Banana 2 Edit |
| 4 credits | GPT1-HQ, GPT1-HQ Edit, GPT1.5-HQ, GPT1.5-HQ Edit, Nano Banana Pro, Nano Banana Pro Edit |
| 1 credit | All other generation/edit model types (for example Flux, Flux-2, FluxKontextPro, Ideogram, Recraft, Imagen, Minimax, GPT1, GPT1.5, HiDream, Seedream, Seedream 4.5, Seedream 5 Lite, Krea, Qwen, Nano Banana, Bria, Nano Banana Edit, SeedDream 4 Edit, GPT1.5 Edit) |
Operation credit costs (non-generation)
| Operation | Credit cost |
|---|---|
| Upscale image | 1 credit each |
| Vectorize image | 1 credit each |
| Background-removed vectorization | 1 credit each (counted as vectorization) |
Color correction credit behavior
Color correction creates a new generated image and uses the source image's model type for credit accounting.
That means color correction cost is model-dependent:
- 0.5 credit if source model is GPT1 Mini / GPT1 Mini Edit
- 2 credits if source model is Nano Banana 2 / Nano Banana 2 Edit
- 4 credits if source model is GPT1-HQ / GPT1-HQ Edit / GPT1.5-HQ / GPT1.5-HQ Edit / Nano Banana Pro / Nano Banana Pro Edit
- 1 credit for other source models
What currently does not add a separate operation credit
- Background removal/transformed-image upload by itself does not have its own dedicated credit counter entry.
- A separate credit is only applied when you run a credit-counted operation after that (for example vectorization).
Limit enforcement
All generation and transformation endpoints use tier-based monthly limits (Starter/Plus/Pro), not a single global limit.
Practical usage tips
- Use 1-credit models for exploration passes.
- Use 2-credit models when you want a quality/cost middle ground.
- Reserve 4-credit models for finalists.
- Batch your upscales/vectorizations only on shortlisted images.
- Check your remaining credits regularly in the app header.