AI Image Generation Cost Calculator
Compare image generation costs across hosted APIs and self-hosted GPUs. Factor in prompting LLM, human review, upscaling, setup, and maintenance.
Volume & quality
Prompting & labor
Self-hosting option
NVIDIA RTX 4090 (24 GB) — 455 images/hour estimated.
Monthly image generations
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Cheapest hosted
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Self-hosted estimate
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Total project cost (hosted winner)
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API / generation cost
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Upscale cost
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Prompt LLM cost
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Review labor cost
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Provider comparison
Same volume and quality settings across all providers. Self-hosted is shown separately because it uses GPU time instead of per-image pricing.
| Provider | API cost / mo | Upscale / mo | Prompt LLM / mo | Review / mo | Total / mo | Per 1K images |
|---|---|---|---|---|---|---|
| OpenAI DALL·E 3 per image | — | — | — | — | — | — |
| Midjourney (API/subscription) subscription or proxy | — | — | — | — | — | — |
| Stability AI Stable Image credits | — | — | — | — | — | — |
| Leonardo.Ai tokens | — | — | — | — | — | — |
| Ideogram credits | — | — | — | — | — | — |
| Recraft credits | — | — | — | — | — | — |
| Adobe Firefly credits | — | — | — | — | — | — |
| Black Forest Labs FLUX.1 [pro] credits | — | — | — | — | — | — |
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Self-hosted FLUX.1 / SDXL GPU + power | — | — | — | — | — | — |
How the estimate works
- Total generations = images per month × batches per final image × size multiplier × mode multiplier × complexity multiplier.
- API cost = total generations × provider per-image price at 1024×1024.
- Upscale cost = total generations × upscale% × provider upscale price.
- Prompt cost = images × prompt requests × (input tokens/1M × input price + output tokens/1M × output price).
- Review cost = images × review rate × review minutes × reviewer hourly rate.
- Self-hosted = (total generations ÷ images per hour) × GPU hourly cost + power cost.
Ways to reduce cost
- • Lower batches per image once your prompt and model are reliable.
- • Use smaller output sizes for thumbnails and previews.
- • Cache prompt rewrites to avoid LLM calls for repeated inputs.
- • Use a cheaper embedding/prompt model (Gemini Flash, GPT-4o mini).
- • Self-host on an RTX 4090 when volume exceeds a few thousand images per month.
- • Reduce human review rate with automatic quality scoring.
Frequently asked questions
Which image generator is cheapest at scale?▼
Self-hosted FLUX.1 / SDXL on a rented RTX 4090 is usually cheapest above a few thousand images per month because you pay for GPU time, not per generation. Among hosted APIs, Stability AI SDXL and Ideogram are typically the lowest per-image for standard 1024×1024 generations.
Does Midjourney have an official API?▼
Midjourney does not have a first-party public API. Most integrations use a Discord-bot proxy or unofficial API services, which is why pricing is approximate and often subscription-based.
How do I account for prompting cost?▼
Many production pipelines use an LLM to rewrite or expand prompts before generating images. The calculator adds prompt-input and prompt-output tokens multiplied by your chosen model's per-million-token price.
What about human review and curation?▼
Set a review rate (percentage of images a human checks) and minutes per review. The calculator multiplies that by the reviewer's hourly cost to estimate QA labor.
When is local/self-hosted worth it?▼
Self-hosting wins on volume, latency, and privacy. It loses if you need the absolute latest model quality, do not want to manage drivers/updates, or generate only a few hundred images per month.
Image-generation pricing changes frequently. Providers bill per generation, credit pack, or subscription. Edit rates in the table to match current public pricing. Local/self-hosted costs assume cloud GPU rental or owned hardware amortized over 24 months with power included. Last updated: 2026-08-07.