200 images for a seasonal campaign set: GPT Image 2.5 cost by quality
200 1024x1024 images on Sume with ChatGPT Image 2.5: $4.95 at low, $11.1250 at medium, $44.4750 at high quality.

200 images at 1024x1024 cost $4.95 at quality: low, $11.1250 at medium and $44.4750 at high with ChatGPT Image 2.5 (openai/gpt-image-2.5) on Sume. That is one image per request, priced from Fal's output-token rates with Sume's margin.
Sume's Image API docs (read 2026-10-06) say that if you omit quality the default is high, and that auto reserves the max price. For a seasonal campaign set, pass the quality you mean.
What does a seasonal campaign set cost at each quality?
Per-image prices are computed for a 1024x1024 output with no reference images.
| Quality | Per image | 200 images |
|---|---|---|
| low | $0.02475 | $4.95 |
| medium | $0.05563 | $11.1250 |
| high | $0.22237 | $44.4750 |
How do I set the quality?
quality accepts auto, low, medium, high, xhigh and max. Draft at low, rerun the keepers at high.
curl -X POST https://api.sume.com/v1/images \
-H "Authorization: Bearer $SUME_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: img-seasonal-campaign-set-001" \
-d '{
"model": "openai/gpt-image-2.5",
"prompt": "Studio photo of a ceramic mug on a pale wood table",
"quality": "low"
}'What changes the price?
Check the live per-endpoint price at GET /v1/images/models/{model_id}/endpoints before a large batch.
- Size: a larger output uses more output tokens; the table is for 1024x1024.
- References: up to 16 input images add estimated input-token cost.
autoquality: reservesmaxat submit.
Sources
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