gpt-image-2-all is officially live on APIYI: $0.03 per model invocation, one-click access to ChatGPT’s latest image generation capabilities

Author's Note: APIYI has officially launched the gpt-image-2-all reverse-engineered model. It’s priced at $0.03 per request with no concurrency limits and supports text-to-image, multi-image fusion, and natural language image editing. It mirrors the latest image generation capabilities of the ChatGPT web interface. This article provides a complete guide on how to integrate it.

In April 2026, the ChatGPT web interface began A/B testing its next-generation image generation capabilities—users still see the "GPT Image 1.5" label, but some requests are actually handled by the new model. OpenAI has not yet officially released the gpt-image-2 model ID via their API, so please be cautious of any services claiming to provide "direct API access to gpt-image-2."

APIYI has now officially launched gpt-image-2-all via a reverse-engineered solution, mirroring the latest image generation capabilities of the ChatGPT web interface, priced at $0.03 per request with no concurrency limits. This isn't just a promise; it's a production-ready interface you can call with standard HTTP requests right now.

Core Value: After reading this article, you'll master the 3 API endpoints for gpt-image-2-all, learn multi-image fusion techniques, understand how to use natural language for image editing, and be able to complete your integration within 10 minutes.

gpt-image-2-all Key Highlights

Understanding the gpt-image-2-all Positioning

What does "reverse-engineered" mean? It's a proxy service that connects to the latest image generation capabilities of the ChatGPT web interface via reverse engineering. It is not the same interface as the official gpt-image-2 that OpenAI will release in the future, but the underlying model capabilities are identical. Before the official API is released, this is the only production-ready solution that can stably call the latest ChatGPT image generation capabilities.

Why integrate now? Three practical reasons: (1) The official release date for OpenAI's gpt-image-2 is uncertain (expected late April to mid-May 2026); (2) There will inevitably be quota shortages and cold-start issues during the initial launch phase; (3) By running your business processes on gpt-image-2-all early, you can seamlessly migrate by simply switching the model name once the official version is released.

Getting Started with gpt-image-2-all

Three Core API Endpoints

gpt-image-2-all provides three endpoints to cover the full spectrum of image generation tasks:

Base URL: https://api.apiyi.com (Backups: b.apiyi.com, vip.apiyi.com)

Minimal Text-to-Image Example

import requests

response = requests.post(
    "https://api.apiyi.com/v1/images/generations",
    headers={
        "Authorization": "Bearer YOUR_APIYI_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "gpt-image-2-all",
        "prompt": "16:9 landscape, a cup of latte, table sign says 'Morning Blend $4.50', morning light through cafe window",
    },
    timeout=120
)

result = response.json()
print(result["data"][0]["url"])

import requests
import time
from typing import Optional, List

API_KEY = "YOUR_APIYI_KEY"
BASE_URL = "https://api.apiyi.com"

def text_to_image(prompt: str, timeout: int = 120) -> Optional[str]:
    """Text-to-image: via /v1/images/generations endpoint"""
    for attempt in range(3):
        try:
            r = requests.post(
                f"{BASE_URL}/v1/images/generations",
                headers={
                    "Authorization": f"Bearer {API_KEY}",
                    "Content-Type": "application/json"
                },
                json={"model": "gpt-image-2-all", "prompt": prompt},
                timeout=timeout
            )
            if r.status_code == 200:
                return r.json()["data"][0]["url"]
            if r.status_code == 429:
                time.sleep(2 ** attempt)
                continue
        except requests.Timeout:
            continue
    return None

def multi_image_fusion(prompt: str, image_paths: List[str]) -> Optional[str]:
    """Multi-image fusion: via /v1/images/edits endpoint"""
    files = [
        ("image[]", (f"img{i}.png", open(p, "rb"), "image/png"))
        for i, p in enumerate(image_paths)
    ]
    data = {"model": "gpt-image-2-all", "prompt": prompt}

    r = requests.post(
        f"{BASE_URL}/v1/images/edits",
        headers={"Authorization": f"Bearer {API_KEY}"},
        data=data,
        files=files,
        timeout=120
    )
    return r.json()["data"][0]["url"] if r.status_code == 200 else None

def conversational_edit(messages: List[dict]) -> Optional[str]:
    """Conversational editing: via /v1/chat/completions endpoint"""
    r = requests.post(
        f"{BASE_URL}/v1/chat/completions",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json"
        },
        json={"model": "gpt-image-2-all", "messages": messages},
        timeout=120
    )
    return r.json()["choices"][0]["message"]["content"] if r.status_code == 200 else None

url = text_to_image("9:16 portrait mobile poster, a cup of iced latte, large text at the top 'Summer Sale 50% OFF'")
print(f"Generated: {url}")

fusion_url = multi_image_fusion(
    "Place the person from image 1 into the beach scene in image 2, keeping the person's clothing unchanged",
    ["person.png", "beach.png"]
)
print(f"Fusion: {fusion_url}")

Integration Tip: Register at APIYI (apiyi.com) to get testing credits. A single API key supports all models, including gpt-image-2-all, GPT-4o, and Claude, saving you the hassle of managing multiple vendor accounts.

Key Features of gpt-image-2-all

Feature 1: High-Precision Text Rendering

For gpt-image-2-all, stable Chinese and English text rendering is a core strength of the latest official ChatGPT image generation capabilities. Text on signs, posters, and infographics is rendered correctly on the first try—something that was difficult for gpt-image-1.5.

Real-world scenarios:

• Coffee menu boards: "Americano $4.00, Latte $4.50" with character-level accuracy.
• Product packaging: Mixed Chinese and English ingredient lists are clear and readable.
• UI mockups: Button text and navigation labels are rendered accurately.
• Infographics: Titles, subtitles, and data labels maintain a clear hierarchy.

Feature 2: Multi-Image Fusion

You can upload multiple reference images via the /v1/images/edits endpoint and reference them directly in your prompt as "image 1", "image 2", "image 3", etc.

prompt = """
Place the product from image 1 into the scene in image 2,
use the color style from image 3,
set the camera angle to a slight high-angle shot,
4K high-definition details.
"""

Use cases:

Feature 3: Natural Language Editing (No Mask Required)

The biggest efficiency breakthrough is conversational editing—you no longer need to draw masks or select regions; simply describe your changes using natural language.

messages = [
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "Generate an exterior view of a cafe with afternoon sunlight hitting it at an angle"},
        ]
    },
    {
        "role": "assistant",
        "content": "[Generated image link]"
    },
    {
        "role": "user",
        "content": "Change the weather to rainy, but keep the building the same"
    }
]

What this workflow means: The old "generate → edit in Photoshop → regenerate" loop is now replaced by conversational iteration. You only need to describe the changes for each adjustment, without having to rewrite the entire prompt.

Feature 4: Native Chinese Support

Prompts can be written directly in Chinese, no need to translate to English before calling the API. For Chinese development teams and localized businesses, this provides a natural and intuitive experience:

prompt = "9:16 vertical Xiaohongshu cover, an Asian woman drinking coffee, title 'Weekend Cafe Hopping · The Secret Cafe in the Hutong', soft lighting, realistic style"

gpt-image-2-all Size and Aspect Ratio Control

Important Note

gpt-image-2-all does not accept parameters like size, n, quality, or aspect_ratio—passing these will trigger a validation error. You must control the dimensions exclusively through your prompt text.

Recommended Prompt Formatting

Key Tips

Place the aspect ratio description at the very beginning of your prompt. The model is much more likely to follow instructions provided at the start; putting them at the end might cause the model to ignore them.

# ✅ Recommended
prompt = "Landscape 16:9, a Shiba Inu smiling under a cherry blossom tree, soft lighting photography style"

# ❌ Not Recommended
prompt = "A Shiba Inu smiling under a cherry blossom tree, soft lighting photography style, landscape 16:9"

gpt-image-2-all Pricing and Concurrency Strategy

Billing Rules

Typical Cost Estimates

Cost Optimization Tip: By using the unified account scheduling on APIYI (apiyi.com), you can route tasks to the most cost-effective model among gpt-image-2-all, gpt-image-1.5, and Nano Banana Pro based on real-time requirements, avoiding the need to pay the highest unit price for every scenario.

gpt-image-2-all Error Handling and Best Practices

Common Error Codes and Handling

Troubleshooting Tips

Every response includes a request-id header. If you run into issues, record this ID and submit it to APIYI technical support so we can quickly locate the server-side logs.

Unsupported Features

• Streaming Output: stream=true is not supported; only single-response returns are available.
• Multiple Image Output: Each request returns only one image. If you need multiple images, please perform concurrent calls.
• OpenAI SDK Default Parameters: The official SDK's default size/n parameters will trigger validation errors. We recommend using requests to send calls directly.

FAQ

gpt-image-2-all Key Takeaways

• Reverse-engineered solution · Latest ChatGPT capabilities: The only production-grade channel available before the official API release.
• $0.03/request · Unlimited concurrency: Pay-per-success billing, transparent costs, and friendly for batch pipelines.
• Three endpoints covering all scenarios: Text-to-image / Multi-image fusion / Conversational editing.
• Native Chinese + High-precision text: Stable rendering for both Chinese and English text; no need to translate prompts.
• Getting started: Register at APIYI apiyi.com → Set 120s timeout → Use requests for direct calls.

Summary

The core value of gpt-image-2-all:

1. Bridging the Official Gap: Provides a production-grade interface for calling ChatGPT's latest image generation capabilities before OpenAI officially releases the gpt-image-2 API.
2. Significantly Lower Costs: Priced at $0.03/request compared to the estimated official price of $0.15–$0.20, offering a clear cost advantage for high-volume scenarios.
3. Seamless Migration Design: Built on the OpenAI-compatible protocol, allowing you to switch by simply updating the model name once the official version is released.

For team decision-making, we recommend integrating gpt-image-2-all via APIYI (apiyi.com) immediately to validate your business workflows. The current $0.03/request price makes large-scale testing virtually cost-free, and you can switch to the official gpt-image-2 as needed when it launches. Teams that get a head start will establish a significant product advantage during the new model's initial rollout.

Experience it online: imagen.apiyi.com · Documentation: docs.apiyi.com/api-capabilities/gpt-image-2-all/overview

Related Articles

If you're interested in gpt-image-2-all, we recommend checking out these resources:

• 📘 gpt-image-2 vs. gpt-image-1.5: A Comprehensive Analysis of the 8 Major Upgrades – Understand the underlying reasons for this leap in capability.
• 📊 6 Key Use Cases for gpt-image-2 – Master the paths for practical business implementation.
• 🚀 gpt-image-2 vs. Nano Banana Pro: A Deep Dive Comparison – Make an informed choice for the optimal model.

📚 References

1. APIYI Official Documentation: gpt-image-2-all complete technical specifications

   • Link: docs.apiyi.com/api-capabilities/gpt-image-2-all/overview
   • Description: Authoritative integration documentation, including parameters, error codes, and best practices.

2. APIYI Online Playground: imagen.apiyi.com

   • Link: imagen.apiyi.com
   • Description: Test the image generation capabilities of gpt-image-2-all without writing any code.

3. OpenAI Official Image API Documentation: Latest image model API

   • Link: openai.com/index/image-generation-api
   • Description: Compare and understand the specifications of the official OpenAI gpt-image-1.5 API.

4. LM Arena Canary Test Observations: GPT Image 2 leaked information

   • Link: mindstudio.ai/blog/what-is-gpt-image-2
   • Description: A preview of the capabilities of the next-generation image model.

Author: APIYI Technical Team
Technical Discussion: Feel free to join the discussion in the comments section. For more resources, visit the APIYI documentation center at docs.apiyi.com.