High-Density OCR Excellence
Extract text from complex layouts like blueprints and spreadsheets where standard OCR often fails.
GPT Image 1.5
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.
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/openai/gpt-image-1.5/image-edit" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"image": [],
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"mask": "",
"n": 1,
"quality": "auto",
"background": "auto",
"enable_sync_mode": false,
"response_format": "url"
}'GPT Image 1.5 pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 30% below list price.
Your usage
$0.0316 / image
Related Models
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| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
| $5.60 / $22.40 per 1M | more | Input: TextInput: Image Output: Image | |
| $7.60 / $28.50 per 1M | — | Input: TextInput: Image Output: Image | ||
| $7.60 / $28.50 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.04 per time | 1K · 2K · more | Input: TextInput: Image Output: Image | |
| $0.04 per time | 1K · 2K | Input: TextInput: Image Output: Image | ||
| $0.02 per time | 1K | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $6.40 / $24.00 per 1M | — | Input: TextInput: Image Output: Image | ||
| $0.04 per time | 1K · 2K · 4K | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.01 per time | — | Input: TextInput: Image Output: Image | ||
| $0.02 per time | — | Input: TextInput: Image Output: Image | ||
| — | $0.14 per time | — | Input: Text Output: Image | |
| $1.75 / $5.60 per 1M | — | Input: TextInput: Image Output: Image | ||
| — | $0.01 per time | — | Input: Image Output: Image | |
| — | $0.02 per time | — | Input: Image Output: Image | |
| $0.03 per time | — | Input: Text Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image | ||
| $0.03 per time | — | Input: TextInput: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Image Output: Image | ||
| $0.05 per time | — | Input: Text Output: Image | ||
| $7.00 / $28.00 per 1M | — | Input: TextInput: Image Output: Image | ||
| $0.06 per time | — | Input: TextInput: Image Output: Image |
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%.
Superior Visual Reasoning
The openai gpt image 1.5 excels at spatial tasks and identifying object relationships in 3D space.
Cross-Modal Pixel Grounding
Provides precise bounding boxes for detected objects, essential for robotic process automation.
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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