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Turbo

Tongyi-MAIReleased Jul 31, 2025z-image/turbo
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Z-Image Turbo is a super fast text-to-image model of 6B parameters developed by Tongyi-MAI. It compresses inference to as few as 1-8 diffusion steps (default 8), delivering high-volume, low-cost image generation at $0.005 per megapixel while maintaining strong prompt adherence. Optimized for rapid prototyping, content variation testing, and high-throughput asset generation, with optional prompt expansion to enrich brief prompts automatically.

Context
4K
Max output
4K
Input /1M
—
Output /1M
$0.005/img
AcceptsTextProducesImage

Providers

2 providers serve this model. FastRouter routes each request to the best available one, and you can bring your own key for any of them.

Alibaba logo
Alibaba
alibaba
Input /1M—
Output /1M$0.015/img
Context4K
Max output4K
FAL AI logo
FAL AI
falai
Input /1M—
Output /1M$0.005/img
Context4K
Max output4K

Supported parameters

Request parameters you can send with this model.

Parameter
Type
Alibaba
FAL AI
Core (Sampling & basic generation)
seedSeed for deterministic sampling.
number
-
-
nNumber of completions to generate.
number
-
1 to 4
Other
prompt
string
-
-
prompt_extend
bool
true | falsedefault: true
-
size
string
default: 1024*1024
"square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"
acceleration
string
-
"none", "regular", "high"
enable_prompt_expansion
bool
-
true | false
enable_safety_checker
bool
-
true | false
num_inference_steps
number
-
1 to 8
output_format
string
-
"jpeg", "png", "webp"

Make your first API call

OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.

Full API docs
Replace <FASTROUTER_API_KEY> with your key · Get your key →Install
OpenAI SDKHTTP
import base64
from openai import OpenAI
client = OpenAI(
api_key="<FASTROUTER_API_KEY>",
base_url="https://api.fastrouter.ai/api/v1"
)
img = client.images.generate(
model="z-image/turbo",
prompt="A cute baby sea otter",
n=1,
size="1024x1024"
)
image_base64 = img.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
with open("otter.png", "wb") as f:
f.write(image_bytes)

Frequently asked questions

More models from Tongyi-MAI

Tongyi-MAI logo
Basez-image/base

Z-Image is the foundation model of the Z-Image family, engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence. It is a 6B-parameter text-to-image model built for efficient, high-fidelity image generation with strong prompt following capabilities across a wide range of visual styles.

Model scores sourced from ArtificialAnalysis