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GPT Image 2.5 Flare
GPT Image 2.5 Flare is a fast image generation model for creating and editing high quality images from text and image inputs through the OpenAI API.
About GPT Image 2.5 Flare
GPT Image 2.5 Flare is an image generation model designed for fast, high quality everyday image creation. It accepts text and image inputs and produces image outputs.
The model supports image generation, image editing, and inpainting. It can be used through the OpenAI Image API and supports Batch API processing. The documented default snapshot is gpt-image-2.5-flare-2026-09-08.
GPT Image 2.5 Flare provides multiple quality settings, including low, medium, high, xhigh, max, and auto. It is intended for applications that require image creation and editing through an API, including visual content workflows and automated image production.
Key Features
- Text and image inputs: Accepts text and image input modalities.
- Image output: Produces image outputs.
- Image generation: Supports high quality everyday image creation.
- Image editing: Supports editing through the OpenAI Image Edit API.
- Inpainting: Supports replacing or modifying selected areas of an image.
- Quality controls: Provides low, medium, high, xhigh, max, and auto quality settings.
- Batch processing: Supports image generation through the Batch API.
Pricing
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Standard text input: $5 per 1 million tokens. Cached text input costs $1.25 per 1 million tokens.
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Standard image input: $8 per 1 million tokens. Cached image input costs $2 per 1 million tokens.
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Standard image output: $30 per 1 million tokens.
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Batch text input: $2.50 per 1 million tokens. Cached text input costs $0.625 per 1 million tokens.
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Batch image input: $4 per 1 million tokens. Cached image input costs $1 per 1 million tokens.
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Batch image output: $15 per 1 million tokens.
Use Cases
- Everyday image generation from text prompts.
- Image editing using image inputs.
- Inpainting and selected-area image modification.
- Automated image generation through the OpenAI Image API.
- Batch image generation workflows.
- Applications requiring configurable image quality settings.
Pros & Cons
Pros:
- Accepts both text and image inputs.
- Supports image generation, image editing, and inpainting.
- Offers six quality settings plus automatic quality selection.
- Supports standard and Batch API processing.
- Provides a stable dated model snapshot.
Cons:
- Produces image outputs only.
- Audio and video inputs and outputs are not supported.
- Fine-tuning, function calling, structured outputs, streaming, and Responses API endpoint support are not documented as supported for this model.
- Rate limits vary by API usage tier.
- The model page documents support for image editing but lists no additional supported features beyond inpainting.
Integrations
OpenAI Image API, OpenAI Image Edit API, OpenAI Batch API
FAQ
What is GPT Image 2.5 Flare?
GPT Image 2.5 Flare is an image generation model for fast, high quality everyday image generation.
What inputs does GPT Image 2.5 Flare support?
The model supports text and image inputs.
What does GPT Image 2.5 Flare produce?
GPT Image 2.5 Flare produces image outputs.
Can GPT Image 2.5 Flare edit images?
Yes. The model supports image editing through the OpenAI Image Edit API.
Does GPT Image 2.5 Flare support inpainting?
Yes. Inpainting is listed as a supported feature for the model.
Which quality settings are available?
The model supports low, medium, high, xhigh, max, and auto quality settings.
Which APIs support GPT Image 2.5 Flare?
The model supports the OpenAI Image Generation API, Image Edit API, and Batch API.
Does GPT Image 2.5 Flare support audio or video?
No. Audio and video are not supported modalities for this model.
What is the default GPT Image 2.5 Flare snapshot?
The default snapshot is gpt-image-2.5-flare-2026-09-08.
Last edited
October 9, 2026 at 10:48 AM by Venkatraman Chandrasekaran
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