50 images for a social carousel pack: GPT Image 2.5 cost by quality
50 1024x1024 images on Sume with ChatGPT Image 2.5: $1.2375 at low, $2.78125 at medium, $11.11875 at high quality.

50 images at 1024x1024 cost $1.2375 at quality: low, $2.78125 at medium and $11.11875 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 social carousel pack, pass the quality you mean.
What does a social carousel pack cost at each quality?
Per-image prices are computed for a 1024x1024 output with no reference images.
| Quality | Per image | 50 images |
|---|---|---|
| low | $0.02475 | $1.2375 |
| medium | $0.05563 | $2.78125 |
| high | $0.22237 | $11.11875 |
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-social-carousel-pack-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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