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Compare·September 13, 2026·Updated September 14, 2026·7 min read

Cheapest AI image generation API (2026) — price per image at 1K, 2K and 4K, and why resolution reorders it

The cheapest image generation API is not the same one at every resolution. One model bills a flat rate at 1K, 2K and 4K while the rest price by resolution — so the ranking every roundup prints is only correct at the small end. Decide the resolution you ship before you compare models. This page ranks by price alone: output quality, latency and rate limits are not measured here.

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The cheapest image generation API is not the same one at every resolution. As of September 2026, GPT-Image-2 bills a flat $0.0633 an image at 1K, 2K and 4K, while every Google model on the same key prices by resolution — so GPT-Image-2 is the dearest generator at 1K and the cheapest at 4K, where it undercuts Nano Banana 2 at $0.1057 and Nano Banana Pro at $0.1200. The ranking inverts across the range most comparison pages quote a single number for. Decide the resolution you actually ship before you compare models at all.

Bias declared: Kunavo is our product — a resold-access gateway, not an independent benchmark. The figures below are read live from the catalog that bills the requests, so they are what you would be charged rather than a rate copied from a launch post. Kunavo carries five image generation models and two edit models; the section on what we do not carry names the six families that are not on this key, which is most of what people shortlist.

Price per image, by model and resolution

One image, one price — the unit is the output, not the prompt length. Kunavo rates last verified September 14, 2026. "Provider list" is the vendor's own published rate for the same image: Google's, from its Gemini API image-generation documentation and pricing page, and OpenAI's, from its API pricing page. A dash means the model does not offer that resolution as a separate tier.

ModelProvider1K2K4KProvider list (base)
Nano Banana 2 LiteGoogle$0.0255$0.0340
Nano BananaGoogle$0.0273$0.0390
Nano Banana 2Google$0.0469$0.0707$0.1057$0.0670
GPT-Image-2OpenAI$0.0633$0.0633$0.0633$0.1266
Nano Banana ProGoogle$0.0670$0.1200$0.1340

Models without separate resolution tiers bill their single rate whatever size you ask for. Every rate in the table sits under the provider's own published list price for the same image.

The family that prices by render speed instead

Ideogram v3 does not have resolution tiers at all. It bills by render speed — how much compute it spends reaching the image — which is a different lever with the same shape: the cheap setting is for drafts and the expensive one for the frame you ship. Worth knowing before you compare its headline rate against anything in the table above, because the two numbers are not measuring the same thing.

ModelRender speedPer imageProvider list
Ideogram v3Turbo$0.0262$0.0300
Ideogram v3Balanced$0.0525$0.0600
Ideogram v3Quality$0.0750$0.0900

Every tier sits under Ideogram's own published rate for the same setting. Ideogram v3 Edit prices on the same three-speed scale and appears in the editing section below — it is the only model on this key that accepts a mask.

The resolution inversion, stated plainly

At 1K, the ranking is what every roundup prints: the small Google models are cheapest and GPT-Image-2 is the expensive one. At 4K the order reverses, because OpenAI does not charge more for the larger output and Google does. Concretely, as of September 2026 on Kunavo:

  • At 1KNano Banana 2 Lite $0.0255, GPT-Image-2 $0.0633. GPT-Image-2 costs about 2.5× the cheapest option.
  • At 4K — GPT-Image-2 $0.0633, Nano Banana 2 $0.1057, Nano Banana Pro $0.1200. GPT-Image-2 is now the cheapest of the three.

If your product renders thumbnails, the Google models win on cost by a wide margin. If it renders print-resolution assets, the flat-rate model wins. A page that gives you one winner has assumed one of those two workloads without telling you which.

Editing an existing image

Three models take an image in as well as out, on the same key and balance as generation — and they do not all edit the same way:

ModelPer imageSeveral source imagesMask-based inpainting
Nano Banana Edit$0.0273yesno
GPT-Image-2 Edit$0.0633yesno
Ideogram v3 Edit$0.0525noyes

The two Google and OpenAI editors take more than one source image in a single request, which is what compositing needs, and direct the edit entirely by prompt. Ideogram v3 Edit is the one model here that accepts a mask — a painted region that confines the change — which is the difference that decides a retouching workflow. If you need masks, that is the row; if you need several source images composited, it is one of the other two.

What Kunavo does not carry

Five families that appear on most shortlists for this search are not available on Kunavo as of September 2026: Flux, Seedream, Recraft, Stable Diffusion and Midjourney. If your shortlist is built around one of them, a different provider is the correct answer and this page is not trying to move you off it. Ideogram was on this list until September 14, 2026 and is now on the key — see the render-speed section above.

Calling it

Generation and editing are two endpoints, both OpenAI-compatible in shape, and the model id is the only thing that changes between models. Unlike video, image generation returns inline rather than as a polled task.

images.sh
# One endpoint for every image model; the model id is the only change.
curl https://api.kunavo.com/v1/images/generations \
  -H "Authorization: Bearer $KUNAVO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-2-lite",
    "prompt": "a brass compass on a folded paper map, overhead, soft window light",
    "size": "1024x1024"
  }'

# Editing an existing image is a different endpoint, same key and balance.
curl https://api.kunavo.com/v1/images/edits \
  -H "Authorization: Bearer $KUNAVO_API_KEY" \
  -F model=nano-banana-edit \
  -F 'prompt=replace the background with a plain studio grey' \
  -F image=@photo.png

Per-model detail lives on the individual guides: Nano Banana, Nano Banana Pro, GPT-Image-2, and the images endpoint reference. For the video half of the same key, see the video generation API comparison.

FAQ

Which AI API is best for image generation?

It depends on the resolution you actually ship, because the price ranking changes with it. As of September 2026 on Kunavo, Nano Banana 2 Lite at $0.0255 an image is the cheapest way to generate at 1K; at 4K, GPT-Image-2 at $0.0633 is cheaper than every Google model on the same key, because OpenAI bills one flat rate at every resolution while Google prices per resolution. Pick the resolution first, then the model — doing it the other way round is how teams end up on the dearer option.

What is currently the best AI for image generation?

Google's Nano Banana Pro and OpenAI's GPT-Image-2 are the two strongest general-purpose image models reachable by API as of September 2026, and which one wins depends on the work: GPT-Image-2 is the stronger instruction follower on text inside images and on precise edits, while the Nano Banana family is faster and substantially cheaper per image at 1K and 2K. Neither is best at everything, and the honest test is generating the same twenty prompts on both — at these prices that experiment costs a couple of dollars.

How much does an image generation API cost?

On Kunavo, a single generated image runs from $0.0255 to $0.1200 as of September 2026 depending on the model and resolution. The unit is one image, not a token count, which is why a token calculator cannot price this workload. Billing is pay-as-you-go against a prepaid balance, failed generations are not billed, and there is no monthly minimum.

Is there a free AI image generation API?

Not for production use. Several vendors offer trial credits and some consumer apps have a free tier with a daily cap, but no provider serves an uncapped free image API, because each generation is real GPU time. The realistic floor is a few cents per image, and the cheapest production rate on Kunavo is under three cents. Treat any offer of an unlimited free image API as a question about what it proxies and what it retains of your prompts.

Does Kunavo have Flux, Midjourney, Stable Diffusion or Seedream?

Ideogram yes, the others no. As of September 2026 Kunavo's image catalog is Google's Nano Banana family, OpenAI's GPT-Image-2 and Ideogram v3 — six generation models and three edit models. Flux, Seedream, Recraft, Stable Diffusion and Midjourney are not available on Kunavo. Ideogram joined on September 14, 2026 and prices by render speed rather than by resolution, so compare its rate against the others at the speed you would actually use.

Which image models support editing an existing image?

Three, on Kunavo as of September 2026: Nano Banana Edit at $0.0273 an image, GPT-Image-2 Edit at $0.0633 an image, and Ideogram v3 Edit, which prices by render speed from $0.0262. They do not edit the same way. The Google and OpenAI editors accept several source images in one request and direct the edit entirely by prompt, which is what compositing a product into a scene needs. Ideogram v3 Edit is the only model on this key that accepts a mask — a painted region that confines the change — which is what a retouching workflow needs. Pick by which of those two your pipeline is.

Why do image APIs bill per image instead of per token?

Because the cost driver is a fixed amount of GPU work per output rather than the length of the input. A prompt of five words and a prompt of two hundred words produce one image each and take roughly the same time to render, so per-token pricing would bill the wrong thing. The practical consequence is that image and text costs do not share a unit and cannot be totalled in one calculator, which is why a token calculator returns nothing useful for this workload.