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Generate Images with OpenAI

Promptfoo example comparing OpenAI's GPT Image 2, 1.5, 1 and 1 Mini side by side on quality, size and per-image cost for text-to-image generation.

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Works with openai
Promptfoo
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Updated 10 days ago
Source checked Sep 10, 2026
Version 0.123.0
Models
gpt 4o
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Why it matters

Leverage OpenAI's image generation capabilities to create visual content. This prompt chain automates the process of sending requests and receiving image outputs.

Outcomes

What it gets done

01

Configure image generation parameters

02

Send prompts to OpenAI API

03

Receive and process generated images

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-openai-images | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Steps

Steps in the chain

01
Create the example
02
Set your API key
03
Run the evaluation
04
View the results

Overview

Openai Images

A promptfoo example comparing OpenAI's GPT Image 2, 1.5, 1, and 1 Mini text-to-image models on size, quality, output format, and per-image pricing. Use it to compare GPT Image model quality and cost trade-offs. Supports text-to-image only, not edits, variations, or streaming. DALL-E 2/3 remain supported but are deprecated.

What it does

This promptfoo example evaluates OpenAI's current image generation models - GPT Image 2, GPT Image 1.5, GPT Image 1, and GPT Image 1 Mini - side by side, comparing artistic style prompts across models with different image sizes and quality settings. It uses text-to-image generation through the Image API's generations endpoint only; image edits, reference inputs, variations, and streaming partial images are rejected if configured, since they aren't part of what this example or promptfoo's openai:image provider currently supports.

When to use - and when NOT to

Use this example when you want to compare OpenAI's newer GPT Image models on quality, size, and cost trade-offs for a given prompt style. GPT Image 2 is the recommended latest model, with flexible custom sizes and improved output controls; GPT Image 1.5 offers strong instruction following and photorealistic quality on token-based pricing; GPT Image 1 Mini is a cost-efficient version of GPT Image 1 with the same capabilities at lower cost. dall-e-3 and dall-e-2 remain supported for backward compatibility but are deprecated by OpenAI - use one of the GPT Image models for any new eval instead.

Inputs and outputs

Each model is configured with size, quality, background, output_format, output_compression, moderation, and (for GPT Image 2) n and user:

providers:
  - id: openai:image:gpt-image-2
    config:
      size: 1024x1024 # common sizes, custom WIDTHxHEIGHT, auto
      quality: low # low, medium, high, auto
      background: opaque # opaque, auto
      output_format: webp # png, jpeg, webp
      output_compression: 80 # 0-100, only set with jpeg/webp

Per-image pricing at 1024x1024 varies sharply by model and quality: GPT Image 2 runs $0.006 (low) to $0.211 (high), GPT Image 1.5 $0.009 to $0.133, GPT Image 1 $0.011 to $0.167, and GPT Image 1 Mini $0.005 to $0.036. For GPT Image 2's auto quality or custom sizes, promptfoo preserves OpenAI's usage metadata and leaves cost unset rather than estimating it.

Integrations

Set OPENAI_API_KEY, then run promptfoo eval followed by promptfoo view to compare model outputs side by side. One configuration difference worth checking before switching models: GPT Image 2's background option only accepts opaque or auto, while GPT Image 1.5, GPT Image 1, and GPT Image 1 Mini also support transparent - a config that relies on transparent backgrounds won't carry over to GPT Image 2 unchanged. Full provider configuration is documented in OpenAI's Image Generation API guide and promptfoo's OpenAI provider docs.

Who it's for

Teams choosing among OpenAI's image generation models who need a working cost-and-quality comparison across GPT Image 2, 1.5, 1, and 1 Mini before committing to one for production. Prices listed are 1024x1024 output estimates only and exclude input text token costs, so actual per-eval spend will run somewhat higher once prompt tokens are counted in.

Source README

openai-images (OpenAI Image Generation Example)

You can run this example with:

npx promptfoo@latest init --example openai-images
cd openai-images

Compare GPT Image 2.5 Flare and Sunburst with earlier OpenAI image models in promptfoo.

Quick Start

### Create this example
npx promptfoo@latest init --example openai-images

### Set your API key
export OPENAI_API_KEY=your-key-here

### Run the evaluation
promptfoo eval

### View the results
promptfoo view

What's in this Example

  • Compares GPT Image 2.5 Flare and Sunburst with GPT Image 2, 1.5, 1, and 1 Mini
  • Uses text-to-image generation through the Image API generations endpoint
  • Tests artistic style prompts across different models
  • Configures different image sizes and quality settings
  • Tests with different subjects

Supported Models

GPT Image 2.5 Flare and Sunburst (Recommended)

Use Flare for everyday image generation. Sunburst is designed for precise editing; this example compares its text-to-image output. Both support custom sizes, transparent backgrounds, and quality settings through max.

providers:
  - id: openai:image:gpt-image-2.5-flare
    config:
      size: 1536x1024
      quality: high # low, medium, high, xhigh, max, auto
      background: transparent
      output_format: png # png or webp for transparent backgrounds
  - id: openai:image:gpt-image-2.5-sunburst
    config:
      size: 1536x1024
      quality: high
      background: transparent
      output_format: png

GPT Image 2

Earlier image model with flexible custom sizes and opaque backgrounds.

providers:
  - id: openai:image:gpt-image-2
    config:
      size: 1024x1024 # common sizes, custom WIDTHxHEIGHT, auto
      quality: low # low, medium, high, auto
      background: opaque # opaque, auto
      output_format: webp # png, jpeg, webp
      output_compression: 80 # 0-100, only set with jpeg/webp
      moderation: auto # auto, low
      n: 1 # 1-10 images
      user: promptfoo-user # optional end-user identifier

GPT Image 1.5

High-quality GPT Image model with strong instruction following, prompt adherence, and photorealistic quality. Uses token-based pricing.

providers:
  - id: openai:image:gpt-image-1.5
    config:
      size: 1024x1024 # 1024x1024, 1024x1536, 1536x1024, auto
      quality: low # low, medium, high, auto
      background: transparent # transparent, opaque, auto
      output_format: webp # png, jpeg, webp
      output_compression: 80 # 0-100, only set with jpeg/webp
      moderation: auto # auto, low

GPT Image 1

High-quality image generation model with superior instruction following and text rendering.

providers:
  - id: openai:image:gpt-image-1
    config:
      size: 1024x1024 # 1024x1024, 1024x1536, 1536x1024, auto
      quality: low # low, medium, high, auto
      background: transparent # transparent, opaque, auto
      output_format: webp # png, jpeg, webp
      output_compression: 80 # 0-100, only set with jpeg/webp
      moderation: auto # auto, low

GPT Image 1 Mini

Cost-efficient version of GPT Image 1 with the same capabilities at lower cost.

providers:
  - id: openai:image:gpt-image-1-mini
    config:
      size: 1024x1024 # 1024x1024, 1024x1536, 1536x1024, auto
      quality: low # low, medium, high, auto
      background: transparent # transparent, opaque, auto
      output_format: webp # png, jpeg, webp
      output_compression: 80 # 0-100, only set with jpeg/webp
      moderation: auto # auto, low

DALL-E 3 and DALL-E 2

dall-e-3 and dall-e-2 were retired from the OpenAI API on May 12, 2026. The provider retains compatibility for gateways that still expose them. Use gpt-image-2.5-flare or gpt-image-2.5-sunburst for new evals.

Promptfoo's openai:image provider currently supports text-to-image generation. Image edits/reference inputs, variations, and streaming partial images are not part of this example and are rejected if configured.

Pricing

Flare and Sunburst share these standard rates, in USD per million tokens:

Input type Input Cached input Output
Text $5 $1.25 -
Image $8 $2 $30

Promptfoo calculates GPT Image 2.5 costs from returned usage. If usage is missing, cost stays unset. Equal token rates do not mean equal cost per image: each model and quality setting can use different token counts.

Output-only estimates for earlier models:

Model Quality Size Price per image
GPT Image 2 Low 1024x1024 $0.006
GPT Image 2 Medium 1024x1024 $0.053
GPT Image 2 High 1024x1024 $0.211
GPT Image 1.5 Low 1024x1024 $0.009
GPT Image 1.5 Medium 1024x1024 $0.034
GPT Image 1.5 High 1024x1024 $0.133
GPT Image 1 Low 1024x1024 $0.011
GPT Image 1 Medium 1024x1024 $0.042
GPT Image 1 High 1024x1024 $0.167
GPT Image 1 Mini Low 1024x1024 $0.005
GPT Image 1 Mini Medium 1024x1024 $0.011
GPT Image 1 Mini High 1024x1024 $0.036

Note: The per-image estimates exclude input tokens. Promptfoo uses returned usage when available. Without usage, GPT Image 2 auto quality or custom sizes leave cost unset.

Documentation

FAQ

Common questions

Discussion

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