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OpenAI

GPT Image 2.5 Sunburst (max)

GPT Image 2.5 Sunburst (max) is an image generation model from OpenAI, offered as the higher-effort "max" configuration of the GPT Image 2.5 Sunburst line.

Input from
$4.00 / 1M tokens
on IteraCompute · 1 provider
Output from
$0.0000 / 1M tokens
on IteraCompute

API Pricing

ProviderInput / 1MOutput / 1MCached / 1M
$4.00$0.0000$1.00

Prices updated daily. Last check: Oct 28, 2026

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GPT Image 2.5 Sunburst (max) pricing by provider

Input, output, and batch rates, plus alternatives, for one provider at a time.

Model Details

General

Creator
OpenAI
Modalities
Text

Capabilities

Strengths & Limitations

Strengths

  • Image generation model from OpenAI, a provider with broad SDK, API tooling, and ecosystem support
  • "max" tier targets higher-effort rendering, suited to final-quality assets rather than quick drafts
  • Part of the GPT Image 2.5 Sunburst line, so prompts and workflows can be reused across tiers of the same variant
  • Text-to-image workflows avoid the licensing and sourcing overhead of stock imagery for concept and draft work
  • Accessible through standard HTTP APIs, making it straightforward to wire into existing content pipelines
  • Listed across providers on this page, allowing direct cost and availability comparison

Limitations

  • Public specifications for this entry are thin — supported resolutions, aspect ratios, and editing modes are not confirmed in our data
  • Max-tier image generation generally costs more and takes longer per image than lower-effort tiers of the same model
  • Proprietary hosted model; we have no confirmation of downloadable weights or self-hosting options
  • Image generation models are generally unreliable for precise typography, charts, diagrams, and exact counts of objects
  • Output is billed per image rather than per token, so cost modeling differs from the rest of the GPT line

Key Features

•Text-to-image generation
•GPT Image 2.5 Sunburst model variant
•"max" effort tier for higher-quality rendering
•OpenAI API access with standard client SDKs
•Prompt-driven composition and style control
•Suited to batch generation via programmatic API calls
•Multi-provider availability tracked on this page

About GPT Image 2.5 Sunburst (max)

GPT Image 2.5 Sunburst (max) is an image generation model published by OpenAI. It sits in the GPT Image family, OpenAI's line of models that render images from text prompts rather than returning text completions. The "Sunburst" designation identifies this specific 2.5-series variant, and the "(max)" suffix indicates the higher-effort tier of that variant — in OpenAI's image APIs, tiered variants of the same model generally trade additional generation time and compute for more rendering detail, with lower tiers of the same model reserved for faster, cheaper output. Because this is an image model, the characteristics that matter are different from those of a chat LLM: output resolution and aspect ratio options, prompt adherence (how faithfully the generated image reflects a detailed instruction), text rendering inside images, and end-to-end generation latency. Context window and token throughput are not meaningful measures here. We do not track a confirmed public specification sheet for this entry beyond its creator and model type, so prospective users should confirm supported sizes, input modes (text-to-image versus image editing), and content policy behavior against OpenAI's own API documentation before building against it. In practice, models in this category are used for marketing and social creative, product and concept mockups, storyboard frames, illustration drafts, and synthetic imagery for design exploration. The max tier of a given image model is typically chosen for final or near-final assets where visual quality matters more than per-image latency, while faster tiers of the same model are used for iteration and bulk drafts. Providers listed on this page may expose the model with different throughput, queueing, and availability characteristics, so comparing on the pricing table alongside latency expectations is worthwhile.

Common Use Cases

GPT Image 2.5 Sunburst (max) fits workloads where the generated image is a deliverable rather than a throwaway preview: hero images and ad creative, editorial illustration, packaging and product concept renders, storyboard and pitch frames, game and film mood boards, and synthetic reference imagery for design review. The max tier's higher-effort rendering makes it a reasonable choice at the end of an iteration loop — teams often draft with a faster tier or a cheaper model, lock in the prompt, then re-render the chosen concepts here. It is less appropriate for latency-sensitive interactive features where a user waits on each render, for high-volume thumbnail or placeholder generation where per-image cost dominates, or for any output requiring exact text, legible data visualizations, or verifiable factual detail inside the image.

Frequently Asked Questions

How much does GPT Image 2.5 Sunburst (max) cost?

Image generation models are usually billed per image, and the rate varies by provider, output size, and quality tier — and it changes over time. We do not quote figures in editorial text. Check the pricing table on this page for current per-image rates from each provider that lists this model.

What is GPT Image 2.5 Sunburst (max) best used for?

It is best used for final or near-final image assets where rendering quality matters more than speed — marketing and ad creative, illustration, concept and product renders, and storyboard frames. For rapid iteration or high-volume drafts, a faster or cheaper image tier is usually the better fit.

How does the "max" tier differ from other tiers of the same model?

The max suffix marks the higher-effort configuration of the GPT Image 2.5 Sunburst variant. Tiered image models generally spend more compute and time per image at higher tiers in exchange for more detail and better prompt adherence, with lower tiers used when latency and cost dominate. Confirm the exact tier behavior in OpenAI's API documentation.

Does it support image editing or only text-to-image?

Our database records this entry as an image generation model from OpenAI but does not confirm which input modes — text-to-image, image editing, or inpainting — are exposed for this specific variant. Check OpenAI's API reference for the supported endpoints before building against it.

Can I compare it against other image models here?

Yes. The pricing table on this page lists providers serving this model, and the site tracks other image generation entries so you can compare per-image rates and availability side by side. Quality comparisons are best made by running the same prompt set through each candidate.