How many images does $50 buy on Sume? Count per image model
$50 of Sume credit buys 6,779 gpt-image-2.5 low images at 1024, 10,000 Soul images or 266 Nano Banana Pro images. Full count table by model row.
$50 of credit buys 10,000 Higgsfield Soul images, 6,779 gpt-image-2.5 low images at 1024, or 266 Nano Banana Pro images at 1K on Sume. The model row changes the count by a factor of 38.
Images per $50
Counts are rounded down; a request needs the price in balance at submit.
| Model row | Per image | Images per $50 |
|---|---|---|
| higgsfield-soul | $0.005 | 10,000 |
| gpt-image-2.5 low, 1024 | $0.0074 | 6,779 |
| gpt-image-2.5 medium, 1024 | $0.0165 | 3,030 |
| qwen-image | $0.025 | 2,000 |
| flux-2-pro | $0.0375 | 1,333 |
| seedream-5-lite | $0.0437 | 1,142 |
| gpt-image-2.5 high, 1024 | $0.0659 | 759 |
| ideogram-v4.5 medium | $0.075 | 666 |
| nano-banana-2.1, 1K | $0.10 | 500 |
| nano-banana-pro, 1K | $0.1875 | 266 |
| ideogram-v4.5 high | $0.275 | 181 |
Plan the spend
Split the money by stage: most tries at a cheap row, a few finals at a pricey one.
# 40 dollars of drafts and 10 dollars of finals, prices from GET /v1/images/models
draft, final = 0.007375, 0.065875 # gpt-image-2.5 low / high at 1024
print(int(40 / draft), "drafts")
print(int(10 / final), "finals")Read the live price
Prices are catalog data and can change. Read each model's pricing line from GET /v1/images/models/{model_id}/endpoints before a big run.
Reading the counts
- A count is only a ceiling: batches that use
nmultiply the cost per call. - Failed generations are not billed, so retries do not eat the budget unless they complete.
- gpt-image-2.5 is token-priced, so the table is for a bare text prompt. A longer prompt or an input reference adds to the per-image price, and the count falls a little.
Sources
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