Image · Alibaba

Z Image API

Z Image API access for ultra-fast text-to-image, photorealistic results, and short inference paths.

Operational · 1 endpoints · from $0.010
runapi.ai
curl -X POST https://runapi.ai/api/v1/z_image/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "z-image",
  "prompt": "Generate a clean product shot of white sneakers on a gradient background, studio lighting."
}'
import { ZImageClient } from "@runapi.ai/z-image";

const client = new ZImageClient();
const result = await client.textToImage.run({
    model: "z-image",
    prompt: "Generate a clean product shot of white sneakers on a gradient background, studio lighting.",
});
<?php

require __DIR__ . "/vendor/autoload.php";

use RunApi\ZImage\ZImageClient;

$client = new ZImageClient();
$result = $client->textToImage->run([
        'model' => 'z-image',
        'prompt' => 'Generate a clean product shot of white sneakers on a gradient background, studio lighting.',
]);
require "runapi/z_image"

client = RunApi::ZImage::Client.new
result = client.text_to_image.run(
    model: "z-image",
    prompt: "Generate a clean product shot of white sneakers on a gradient background, studio lighting."
)
npx skills add runapi-ai/z-image -g
# Claude Code
claude mcp add runapi -s user -- npx -y @runapi.ai/mcp

# Codex
codex plugin install runapi-mcp@agents

# Cursor / Windsurf / VS Code
npx @runapi.ai/mcp init cursor
@runapi.ai/z-image v1
OVERVIEW

Z Image is Alibaba's ultra-fast text-to-image model that generates images in approximately one second using just 8 inference steps. It prioritizes generation speed while maintaining coherent, high-quality outputs.

  • Multiple variants for different speed, quality, and cost tiers
  • Model skill includes docs, schemas, pricing, and setup notes
  • Works with Claude Code, Codex, Gemini CLI, Cursor, and VS Code
  • Single API key and unified billing across all variants
  • Async task management with polling and webhook callbacks
  • Failed generations are not charged
PRICING

Pricing

Failed generations are not charged
Text to image
$0.01 / image
SPEC SHEET

Technical details

Model ID z-image
Provider Alibaba
Modality image
Task type asynchronous
Billing unit call
API endpoint /api/v1/z_image/text_to_image
Commercial license Yes — included via API
Status Operational
SKILLS

Install the Z Image skill for app development

Load the model docs, schemas, pricing notes, and setup steps into your coding workspace.

# Install the model skill for app development workflows
npx skills add runapi-ai/z-image -g
Installs docs, schemas, pricing context, and setup notes into your developer workspace.
Or use this setup request in your coding tool:
Install the Z Image skill for this app:

1. Add runapi-ai/z-image with the skills installer.
2. Load SKILL.md in this workspace.
3. Use its docs, schemas, pricing notes, and setup steps when adding model features.
4. Confirm the install path when done.
HOW IT WORKS

From model skill to first result in four steps

01

Choose a model

Browse the model catalog and pick the model and variant that match your output type, quality bar, and latency target. Each variant page shows its model ID, pricing, and parameter constraints so you can compare before committing.

02

Configure

Set your RunAPI API key as an environment variable and install the model skill in your coding workspace. The skill loads docs, typed schemas, pricing notes, and setup steps so your agent has the right context from the start.

03

Call

Use the skill instructions to add the model feature inside your application. Send a POST request with your prompt, model ID, and parameters. RunAPI routes the request, manages the async lifecycle, and returns structured JSON.

04

Receive

Poll by task ID for completion, stream results end-to-end when supported, or configure a webhook callback URL to receive results automatically. The CLI provides a built-in wait command, and the SDKs offer both polling and callback patterns.

CONTEXT

What is the Z Image API?

Z Image is Alibaba's speed-optimized text-to-image model, generating results in ~1 second. Through RunAPI, it shares the same API shape and billing as all Alibaba models.

Provider
Alibaba
Modality
Image
WHY RUNAPI

Why route the Z Image API through RunAPI

One auth, every provider

A single RunAPI API key unlocks the whole model catalog across all providers. No separate accounts to create, no API keys to rotate per integration, and no credential management overhead. Add a new model to your app by changing one parameter.

Unified pricing & billing

Per-call pricing in USD, billed monthly into a single invoice. No subscription tiers, no minimum spend, and failed generations are never charged. The pricing page and check_pricing API show exact costs before you commit to a model.

Schema-first SDK

Typed schemas, parameter constraints, and setup notes are packaged in the model skill so your implementation starts from the right contract. The skill loads into Claude Code, Codex, Gemini CLI, Cursor, and VS Code — your agent knows the correct request shape before you write a line of code.

FAQ

Common questions

Which variant should I start with?

Pick the cheapest variant that meets your quality bar. Most teams start on the fast variant and graduate to pro for production.

Is there a free tier?

New accounts get free first calls on every model. After that, pay per call.

Do you stream results?

Where streaming is available, RunAPI streams end-to-end.

How are failures billed?

Failed generations are not charged.

Are outputs cached?

Generated outputs are stored and retrievable by task ID. Inputs are not cached.

Can I use commercially?

Yes — commercial use is included for every variant unless a model license explicitly restricts it, which is called out on the variant page.

What about rate limits?

Per-key rate limits scale with usage tier. See pricing page for current limits.

Where can I report issues?

Open an issue on the public GitHub repo or email support.

START NOW

Start building with the Z Image API.

Endpoints
  • text_to_image
Same category
From this provider
Docs