gpt-image-1.5 / image-edit
The openai gpt image 1.5 model is a high-performance multimodal gpt designed for visual reasoning and high-fidelity image analysis. With a 128k context window, this 1.5 version excels at complex document OCR and native structured vision output.

$ 5.6
$ 8

image

$ 22.4
$ 32

image

Input

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openai gpt image 1.5 Features

The technical capabilities that define the openai gpt image 1.5 vision experience.

Native Structured Vision Output

The 1.5 model generates JSON schemas directly from images, reducing latency for automation by 20%.

A majestic Bengal tiger with vivid orange and black striped fur, piercing amber eyes, powerful muscular build, perched on a moss-covered rock, dense green jungle with dappled sunlight filtering through tall canopy, serene yet fierce atmosphere, high-resolution digital art with vivid colors and realistic textures, detailed fur and foliage, cinematic lighting with soft shadows.

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Native Structured Vision Output
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Superior Visual Reasoning

The openai gpt image 1.5 excels at spatial tasks and identifying object relationships in 3D space.

A vast and majestic mountain range at sunrise, golden light spilling over snow-capped peaks, endless valleys filled with mist, crystal-clear rivers winding toward a shimmering lake, giant waterfalls cascading into deep canyons, flocks of birds soaring through the glowing clouds, cinematic wide-angle view, ultra-realistic, 8K resolution, vivid colors, sense of infinite scale and serene grandeur.

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Superior Visual Reasoning
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Cross-Modal Pixel Grounding

Provides precise bounding boxes for detected objects, essential for robotic process automation.

A colossal interstellar fleet cruising through hyperspace corridors, starship hulls reflecting the glow of distant supernovas, shimmering energy beams connecting flagship and escorts, wormholes pulsing with cosmic light, vast nebula storms swirling in the distance, cinematic slow pan, ultra-realistic.

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Cross-Modal Pixel Grounding
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High-Density OCR Excellence

Extract text from complex layouts like blueprints and spreadsheets where standard OCR often fails.

Before · High-Density OCR Excellence
Before
High-Density OCR Excellence
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How to Get a gpt-image-1.5 API Key

Getting a gpt-image-1.5 API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $5.6 / $22.4 it's a cheaper gpt-image-1.5 API key than going direct, and one key works across every model on the platform. Full gpt-image-1.5 Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including gpt-image-1.5, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to gpt-image-1.5.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to gpt-image-1.5 via GPT Proto and see instant AI-powered results.

Get API Key

openai gpt image 1.5 FAQ

Common questions about integrating openai gpt image 1.5 via our platform.

How is openai gpt image 1.5 different from GPT-4o?

The openai gpt image 1.5 model is specifically optimized for high-density OCR and spatial reasoning. While GPT-4o is a generalist, the 1.5 version provides better performance on complex documents like blueprints and medical scans, offering a 15% improvement in zero-shot visual tasks. On GPTProto, you get the same openai features with added reliability through our multi-region failover system and unified billing dashboard.

Is my data used to train the openai gpt 1.5 model?

No. When you access openai gpt image 1.5 through our API, we enforce a zero-data retention policy. Your image inputs and text outputs are never used to train underlying models. This ensures enterprise-grade privacy for sensitive tasks like medical imaging assistance or architectural design extraction, where intellectual property protection is paramount for our gpt users.

What is the typical latency for openai gpt image 1.5?

For standard text requests, you can expect a time-to-first-token (TTFT) of roughly 400ms. For complex image inputs, openai gpt image 1.5 typically processes in 1.5 to 3 seconds, depending on the resolution and detail settings. GPTProto optimizes this further by routing your request to the healthiest available cluster, ensuring that high-resolution OCR tasks don't suffer from regional congestion.

How do I migrate my existing gpt code to version 1.5?

Migration is straightforward. Since the openai gpt image 1.5 model maintains backward compatibility with the Chat Completions API, you only need to update your 'model' parameter to 'gpt-image-1.5'. The structured output formats and image URL handling remain identical, allowing your team to upgrade to the 1.5 version's superior visual reasoning capabilities with zero downtime or refactoring effort.

Does openai gpt image 1.5 support batch processing?

Yes, openai gpt image 1.5 supports asynchronous batch requests. This is ideal for high-volume tasks like retail inventory management or processing large archives of damaged documents. Using the batch endpoint provides a 50% discount on token costs compared to real-time requests, making the openai gpt image 1.5 one of the most cost-effective solutions for non-urgent, high-scale visual data extraction.

Can this openai model handle real-time video streams?

While openai gpt image 1.5 is excellent at processing sequences of images to maintain object consistency, it is not designed for sub-second latency live RTSP streams. It works best by sampling frames from a video and treating them as high-fidelity image inputs. This method allows the 1.5 model to perform temporal analysis for robotic process automation without the extreme infrastructure costs of live video ingestion.

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