$0.015 per image, edits included — one OpenAI-compatible endpoint at https://api.apimart.ai/v1, no monthly plan required. (observed 2026-09-17)

Get an API key · Live pricing · Model page · ⚡ 60-second quickstart

Why teams call Grok Imagine 1.5 (grok-imagine-1.5-apimart) through APIMart

• One key, entire catalog. The same https://api.apimart.ai/v1 base URL and Authorization header reach Grok Imagine 1.5 (grok-imagine-1.5-apimart) and 300+ other image, video and language models — switch the model field, not your client.
• $1 minimum, pay as you go. No subscription and no prepaid plan to size up front: top up from $1 and spend it on calls. There is no free quota to burn through first, so the price in this table is the price you pay.
• The charge comes back in the response. Every call reports the amount billed (cost / credits_cost), so a spend number is read per call instead of guessed at month end.
• Async by design. Submit, take the task_id, poll GET /v1/tasks/{id} — batching and retries are ordinary queue work, not a bespoke integration.

Grok Image on APIMart is the async Grok Imagine route: text-to-image plus reference-based editing, five aspect ratios, and up to 10 images per request — the batch behaviour is the unusual part.

Endpoint: POST https://api.apimart.ai/v1/images/generations (OpenAI-compatible), then poll GET /v1/tasks/{task_id}. Result links are valid for 24 hours.

Prices are a snapshot; the pricing page and data/model.json are refreshed by CI, and a completed task reports the exact amount in its cost field.

Supported aspect ratios: 1:1, 16:9, 9:16, 3:2, 2:3.

curl --request POST --url https://api.apimart.ai/v1/images/generations \
  --header "Authorization: Bearer $APIMART_API_KEY" --header 'Content-Type: application/json' \
  -d '{"model":"grok-imagine-1.5-apimart","prompt":"A bamboo forest path under moonlight","size":"1:1","resolution":"1K","n":1}'

import os, time, requests

BASE = "https://api.apimart.ai/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['APIMART_API_KEY']}", "Content-Type": "application/json"}

created = requests.post(f"{BASE}/images/generations", headers=HEADERS, timeout=60, json={
    "model": "grok-imagine-1.5-apimart", "prompt": "A bamboo forest path under moonlight",
    "size": "1:1", "resolution": "1K", "n": 1,
}).json()
task_id = created["data"]["id"]

while True:
    task = requests.get(f"{BASE}/tasks/{task_id}", headers=HEADERS, timeout=60).json()["data"]
    if task["status"] in ("completed", "failed"):
        break
    time.sleep(5)
print(task.get("cost"), task.get("result", {}).get("images", [{}])[0].get("url"))

const res = await fetch("https://api.apimart.ai/v1/images/generations", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.APIMART_API_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "grok-imagine-1.5-apimart", prompt: "A bamboo forest path under moonlight",
                          size: "1:1", resolution: "1K", n: 1 }),
});
const { data } = await res.json();      // data.id is the task id — poll /v1/tasks/<id>

Runnable versions: examples/. The task lifecycle is pending → processing → completed | failed, and the finished task carries cost, credits_cost and expiring result URLs.

Every render below came from a single call with the model id above, at the ratio shown; the cost column is what the task reported.

Output	Recipe	Ratio	Cost	Prompt
	Product	1:1	$0.015	Two frosted glass cosmetics bottles on a pale sand surface, hard afternoon light casting long shadows, minimal styling, commercial product photography
	Cinematic	16:9	$0.015	Cyberpunk motorbike parked in a neon-lit underpass, rain on asphalt, magenta and cyan rim lights, cinematic still, shallow depth of field
	Concept art	3:2	$0.015	Mythic forest creature concept art, antlered guardian covered in moss and small flowers, soft volumetric light through trees, painterly detail
	Poster / graphic	3:4	$0.015	Retro travel poster illustration of a coastal train route, flat colour blocks, textured paper grain, warm sunset palette, bold graphic composition
	Food	4:3	$0.015	Gourmet chocolate dessert with gold leaf on a dark ceramic plate, moody side light, shallow depth of field, fine dining food photography
	Environment	16:9	$0.015	Aerial view of a fantasy cliff city carved into stone terraces above a turquoise sea, tiny bridges and hanging gardens, cinematic haze, epic scale

Recipes and measured costs are also in data/samples.json.

What is the Grok Image API model id?

grok-imagine-1.5-apimart, with the documented alias grok-imagine-1.5-ext. The endpoint also documents grok-imagine-image and grok-imagine-image-quality.

Can I get several images in one request?

Yes — this route accepts n from 1 to 10, which makes it the cheapest way to explore variations. Most other image routes cap n at 1, so fan-out there has to happen client-side.

How does editing work?

Pass 1–5 publicly reachable image URLs in image_urls and describe the change in prompt. Only absolute http(s) URLs are accepted, so upload local files to your own storage first.

How long do result links last?

Generated links are valid for 24 hours; download and store the output as part of the job.

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Start with $1. Get an API key → check live pricing → open Grok Imagine 1.5 (grok-imagine-1.5-apimart) in the model library. The first call is three steps: submit, poll task_id, read the charged amount off the response.

Outbound APIMart links are minted through the promo link API; hand-made tracking parameters are rejected by tools/check_links.py in CI.

Grok Image is a third-party model served through APIMart; this repository documents how to call it and publishes real outputs, model ids and prices, and does not claim official status. Model names, prices and documentation belong to their respective owners. Endpoint reference: https://docs.apimart.ai/en/api-reference/images/grok-imagine/generation.

README.md             model id, pricing, parameters, quickstart, samples, FAQ
data/model.json       the pricing record for this model (CI-refreshed)
data/samples.json     prompt recipes with measured cost
tools/snapshot.py     refresh this model's prices from the public pricing payload
tools/check_links.py  attribution guard
examples/             curl, Python and JavaScript clients
assets/               real sample renders (JPEG, resized for the README)
.github/workflows/    daily price refresh + validation

MIT — see LICENSE.