GPT Image Family
Compare GPT Image 2, GPT Image 1.5, and GPT Image 1 in one place. Use this page to choose the right OpenAI image model for generation, editing, and production rollout before you jump into pricing, playground access, or API integration.
Newest route
GPT Image 2
Production default
GPT Image 1.5
Legacy baseline
GPT Image 1
Compare the GPT Image models
Choose based on workflow fit first: newest route, best-documented production default, or older baseline compatibility.
| Model | Best for | 1024x1024 low | 1024x1024 medium | 1024x1024 high | Notes |
|---|---|---|---|---|---|
GPT Image 2 Latest route | Teams that want the newest OpenAI image route, flexible sizing, and the clearest forward-looking migration path. | $0.006 | $0.053 | $0.211 | Newest documented OpenAI image route. Cheaper than GPT Image 1.5 at low square pricing, but higher at medium and high. |
GPT Image 1.5 Best default | Teams that want the safest current production default with familiar OpenAI documentation and predictable quality tiers. | $0.009 | $0.034 | $0.133 | Still the clearest stable default for many production image workflows in OpenAI's current docs and pricing tables. |
GPT Image 1 Legacy baseline | Teams comparing older OpenAI image workflows, pricing changes, or edit-path differences before migrating. | $0.011 | $0.042 | $0.167 | Older GPT Image route kept mainly for legacy comparison, cost auditing, and workflow continuity checks. |
Pricing reference is based on OpenAI's current image generation guide for 1024x1024 output as of April 22, 2026. Total request cost can also include prompt and input-image tokens.
How to decide which GPT Image model to use
Follow these 4 rules to narrow down your choice.
Start with generation quality
If you need the best output quality and newest capabilities, start with GPT Image 2.
Then check editing needs
If your workflow involves image editing, variations, or inpainting, compare GPT Image 1.5 and GPT Image 2.
Then check cost and iteration volume
If you're doing high-volume iteration or batch production, compare per-image costs across quality tiers before committing.
Finally, check output purpose
For internal testing or drafts, use low-quality settings to reduce cost. For client-facing final assets, use high-quality settings to ensure output quality.
If you already know your use case, find the recommended starting point in the table below.
Choose a GPT Image model by workflow: generation, editing, and creative production
Match your primary image task to the right model.
| Your task | Recommended start | Good fit if... | Watch out for |
|---|---|---|---|
| Best generation quality | GPT Image 2 | You want the newest model with strongest output quality | Pricing may be higher for high-quality settings |
| Image editing and variations | GPT Image 1.5 / 2 | Your workflow involves inpainting, editing, or image variations | Check which model supports your specific editing mode |
| Lower-cost iteration | GPT Image 1.5 | You're doing batch production or rapid iteration where cost matters | Evaluate quality tradeoff at low-quality setting |
| Legacy comparison | GPT Image 1 | You need to audit or compare older route behavior before migrating | Consider migrating to GPT Image 1.5 or 2 |
GPT Image workflows: generation, editing, product visuals, and batch creative production
See how GPT Image models fit into real image generation and editing pipelines.
Campaign assets and concept generation
For first-pass visual generation, rapid ad variants, and creative testing. If output quality is the top priority, start with GPT Image 2. If you need predictable pricing at scale, compare GPT Image 1.5.
Image editing and visual revisions
For background swaps, inpainting, product refreshes, and local market adaptation. Compare GPT Image 1.5 and GPT Image 2 for editing capabilities, then validate on the product page.
Product visuals and e-commerce
For product photography, catalog images, and lifestyle mockups. GPT Image 2 offers the best quality for client-facing assets. For high-volume catalog work, test GPT Image 1.5 at medium quality.
Batch creative production
For generating hundreds or thousands of images in automated pipelines. Cost per image matters most — test across GPT Image 1.5 and GPT Image 2 at different quality tiers to find the best cost-quality balance.
View GPT Image model details
Pick a model, then visit its detail page for capabilities, pricing, and integration.
Access GPT Image models through one EvoLink API
All GPT Image models are available through a single EvoLink API key. Switch between GPT Image 2, 1.5, and 1 by changing the model parameter — no separate accounts or keys needed.
Switch model="gpt-image-2" to model="gpt-image-1-5" without rebuilding your integration.How to think about GPT Image cost: quality, resolution, and volume
Quality setting drives per-image cost
Higher quality settings produce better output but cost more per image. For batch production or rapid iteration, low-quality settings may be sufficient. For client-facing or final assets, high quality is worth the premium.
Resolution affects output size and cost
Larger output sizes cost more. If your workflow allows, start with medium resolution for drafts, then generate final assets at high resolution.
Volume workflows should test cost tiers first
If you're generating hundreds or thousands of images, test across GPT Image 1.5 and GPT Image 2 at different quality settings to find the best cost-quality balance for your use case.
Pricing summary
GPT Image models use per-image pricing based on quality tier and resolution. Prices shown are for 1024x1024 output.
GPT Image 2
$0.006 low
$0.053 medium
$0.211 high
Newest OpenAI image route. Cheapest at low quality, but higher at medium and high compared to GPT Image 1.5.
GPT Image 1.5
$0.009 low
$0.034 medium
$0.133 high
Clearest stable default. Best value at medium and high quality for production workflows.
GPT Image 1
$0.011 low
$0.042 medium
$0.167 high
Legacy baseline. Higher per-image pricing but useful for migration comparison.
Related GPT Image guides
Use the family page for model selection. Use the guides below for product access, release-status clarity, and direct head-to-head comparisons.
GPT Image 2 developer guide
Use this guide for current OpenAI status, EvoLink route availability, and migration-safe implementation advice.
ChatGPT Image 2 release-date guide
Use this page when the search intent is naming confusion, launch status, or whether ChatGPT Image 2 is officially documented.
GPT Image 2 vs GPT Image 1.5
Use this comparison when your real decision is whether to move to GPT Image 2 now or keep GPT Image 1.5 as your production default.
GPT Image 2 vs Nano Banana 2
Use this comparison when your shortlist includes the newest OpenAI route and Google's Gemini image route.
GPT Image Family FAQ
Everything you need to know about the product and billing.