gpt-image-2-all Launch: $0.03/image GPT Reverse-Engineered Image Model

Highlights

Reliable reverse-engineered channel: GPT image generation reverse-engineered model, behavior aligned with official capabilities
Highly competitive pricing: Flat $0.03/image, no resolution tiers, fully predictable cost
Three core capabilities: Text-to-image / single-image editing / multi-image fusion / natural-language editing — one-stop coverage
High text-rendering fidelity: Stable Chinese/English text rendering in signs, posters, and infographics
Native Chinese prompts: High-quality output without translation
30-second generation: Returns in ~30s, R2 CDN accelerated downloads

Background

In April 2026, APIYI officially launched gpt-image-2-all — a GPT image generation reverse-engineered model. While the official GPT-Image-1.5 uses tiered pricing (with high-quality images reaching $0.20 each), gpt-image-2-all offers a more economical choice at a flat $0.03/image per-call rate — ideal for scenarios that need “predictable cost + strong text rendering + Chinese friendliness”. For large-scale production of Chinese-language infographics, marketing posters, and social media content, this is a compelling option that preserves GPT-style image generation while pushing per-image cost to a new low.

Detailed Analysis

New Model

gpt-image-2-all

GPT image generation reverse-engineered modelFlat $0.03/image, ~30s generation, supports text-to-image, single-image editing, multi-image fusion, and natural-language editing. No need to worry about size/n/quality parameters — just describe size and style in the prompt.

Model Comparison

Feature	gpt-image-2-all	GPT-Image-1.5 (Official)	Nano Banana 2
Channel type	Reverse-engineered	Official direct	Official direct
Billing	Flat per-call	Tiered by resolution + Token	Per-call / Token-based
Typical price	$0.03/image	$0.009 ~ $0.20/image	$0.055/call
Generation speed	~30s	~10s	~5-15s
Size control	Via prompt	`size` parameter	`aspectRatio` parameter
Chinese prompts	✅ Native	✅ Supported	✅ Supported
Text rendering	✅ High fidelity	⭐⭐⭐⭐⭐ Best	⭐⭐⭐⭐ Excellent
Multi-image fusion	✅ `image[]` array	✅ Edit endpoint	✅ inlineData
Content restrictions	Fewer	Stricter	Moderate

Choosing guide:

💰 Cost-sensitive, Chinese-language scenarios → gpt-image-2-all (flat $0.03/image)
🎨 Best text rendering, official direct → GPT-Image-1.5
🍌 4K resolution, 14 aspect ratios → Nano Banana 2

Triple Endpoint Compatibility

gpt-image-2-all is compatible with three standard OpenAI-style endpoints:

Text-to-image: POST /v1/images/generations (JSON)
Image editing: POST /v1/images/edits (multipart/form-data)
Chat-based: POST /v1/chat/completions (multi-turn with reference images)

You can reuse existing OpenAI SDKs and workflows seamlessly — just switch base_url and model.

Important Notes

Does not accept size/n/quality/aspect_ratio fieldsThis is an adaptive model; sending these fields may trigger parameter validation errors. Size and ratio must go directly into the prompt, and putting size words at the very front yields better adherence.Recommended phrasings:

Landscape 16:9 cinematic, old lighthouse at sunset
1024×1024 square logo, minimalist cat line art
Portrait 9:16 phone poster, cyberpunk rainy night

The b64_json prefix behavior has changed — always detect itAt launch, this model’s b64_json field included the data:image/png;base64, prefix; as verified in July 2026 it now returns raw base64 (no prefix), which must be decoded or prefixed before use.We recommend adding a startsWith('data:') compatibility check.

Practical Usage

Quick Start (Python)

import requests

response = requests.post(
    "https://api.apiyi.com/v1/images/generations",
    headers={"Authorization": "Bearer sk-your-api-key"},
    json={
        "model": "gpt-image-2-all",
        "prompt": "Landscape 16:9 cinematic, old lighthouse at sunset",
        "response_format": "url"
    },
    timeout=300  # conservative — absorbs tail latency + image upload/download time
).json()

print(response["data"][0]["url"])

Multi-Image Fusion (cURL)

curl -X POST "https://api.apiyi.com/v1/images/edits" \
  -H "Authorization: Bearer sk-your-api-key" \
  -F "model=gpt-image-2-all" \
  -F "prompt=Put the person from image1 into the scene of image2, using the art style of image3" \
  -F "response_format=url" \
  -F "image[]=@./ref1.png" \
  -F "image[]=@./ref2.png" \
  -F "image[]=@./ref3.png"

Use Cases

Chinese Marketing Materials

Posters, livestream covers, social media graphics — stable Chinese text rendering

E-commerce Product Images

Multi-image fusion for product scene compositions — more flexible than compositing software

Infographics

Text-annotated infographics at a fraction of the cost of high-quality official models

Natural-Language Editing

No masks needed — iteratively edit images via natural-language descriptions

Pricing & Availability

Item	Details
Model name	`gpt-image-2-all`
Pricing	$0.03 / image, per-call
Billing rule	Flat pricing — no tiers by resolution/quality/prompt length
Failed requests	Not charged (auth failures, parameter validation errors)
N images	1 image per call; for N images call in parallel
Promotion	Stackable with deposit bonus activities

Ready to use: Existing APIYI tokens can call this model directly — no special activation required.

Summary & Recommendations

The core value of gpt-image-2-all is “GPT style + Chinese friendly + predictable cost”:

✅ If your business produces high-volume Chinese marketing content → recommended as your primary image generation channel
✅ If you need the absolute best text rendering → use as a complement to GPT-Image-1.5 (cost-sensitive tasks on gpt-image-2-all, best-text tasks on 1.5)
⚠️ If you need strict parameterized resolution/ratio control → Nano Banana 2 is a better fit (14 aspect ratios, 4K output)

Get started now:

Model Overview

Full capabilities and best practices

Text-to-Image Playground

Test text-to-image online

Image Editing Playground

Upload images and test editing/fusion

Deposit Bonus

See current deposit bonus promotions

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Changelog

AI Radar

gpt-image-2-all Launch: $0.03/image GPT Reverse-Engineered Image Model

Highlights

Background

Detailed Analysis

New Model

gpt-image-2-all

Model Comparison

Triple Endpoint Compatibility

Important Notes

Practical Usage

Quick Start (Python)

Multi-Image Fusion (cURL)

Use Cases

Chinese Marketing Materials

E-commerce Product Images

Infographics

Natural-Language Editing

Pricing & Availability

Summary & Recommendations

Model Overview

Text-to-Image Playground

Image Editing Playground

Deposit Bonus

​Highlights

​Background

​Detailed Analysis

​New Model

gpt-image-2-all

​Model Comparison

​Triple Endpoint Compatibility

​Important Notes

​Practical Usage

​Quick Start (Python)

​Multi-Image Fusion (cURL)

​Use Cases

Chinese Marketing Materials

E-commerce Product Images

Infographics

Natural-Language Editing

​Pricing & Availability

​Summary & Recommendations

Model Overview

Text-to-Image Playground

Image Editing Playground

Deposit Bonus

Highlights

Background

Detailed Analysis

New Model

Model Comparison

Triple Endpoint Compatibility

Important Notes

Practical Usage

Quick Start (Python)

Multi-Image Fusion (cURL)

Use Cases

Pricing & Availability

Summary & Recommendations