Image Generation API Costs in Rupees

A different pricing model from chat

Chat and completion models charge per token, which makes cost scale with how much text you send and receive. Image generation is priced per image instead — a fixed cost per output regardless of how detailed your prompt is. This makes budgeting simpler in one sense (no token counting) and easier to underestimate in another: a bulk image-generation job scales linearly with image count, with no discount for shorter prompts.

What DALL-E costs through AICredits

from openai import OpenAI
 
client = OpenAI(base_url="https://api.aicredits.in/v1", api_key="sk-your-aicredits-key")
 
response = client.images.generate(
    model="dall-e-3",
    prompt="A minimalist logo for a fintech startup, flat design, blue and white",
    size="1024x1024",
    quality="standard",
)
image_url = response.data[0].url

| Model | Size | Quality | Approx. price per image | |-------|------|---------|----------------------------| | DALL-E 3 | 1024×1024 | Standard | ~₹3.65 | | DALL-E 3 | 1024×1024 | HD | ~₹7.30 | | DALL-E 3 | 1792×1024 / 1024×1792 | Standard | ~₹5.20 | | DALL-E 3 | 1792×1024 / 1024×1792 | HD | ~₹10.40 | | DALL-E 2 | 1024×1024 | — | ~₹1.46 |

HD quality roughly doubles the cost of standard quality at the same size — reserve it for final assets, not iteration. During prompt exploration, generate at standard quality and only re-run the winning prompt at HD.

Budgeting for a bulk generation job

A common use case: generating unique thumbnail or product images for a catalog. For 1,000 images at DALL-E 3 standard 1024×1024:

1,000 images × ~₹3.65 = ~₹3,650

At HD quality, the same job runs closer to ₹7,300. If the use case tolerates it, generating at standard quality first and upscaling only the images you keep (with a separate, cheaper upscaling tool) can cut this substantially versus generating everything at HD from the start.

Reducing cost without losing quality

• Batch your prompt iteration mentally, not via the API — write and refine the prompt text first, then generate once you're confident, rather than paying for five variations of a prompt you're still wording.
• Use n carefully — DALL-E 3 only supports n=1 per request, so testing variations means separate calls, each billed individually. DALL-E 2 supports multiple images per call, which can be cheaper for exploratory work despite the lower per-image quality.
• Match size to actual use — a square 1024×1024 image costs less than a widescreen 1792×1024 one; don't generate at a larger size than your final placement needs.

Frequently Asked Questions

Does image generation count against my rate limit the same way as chat completions?

Yes — image generation requests count toward your key's RPM limit, same as any other endpoint.

Can I get the image as base64 instead of a URL?

Yes — set response_format: "b64_json" in the request, useful if you want to process the image without hosting it externally first.

Are other image models like Flux or Stable Diffusion available?

Additional image models are available through the aggregated provider pool beyond DALL-E — check aicredits.in/models for the current list and per-image pricing, since availability and rates for these vary by model.

What happens if my prompt violates the content policy?

The request returns a 400 error before any image is generated, so you aren't charged for a rejected prompt.

Get started

• Read the image generation docs for the full parameter reference.
• Create a free account and generate your first image.
• Related: The Complete LLM API Price List in Rupees (2026).