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.
API Pricing
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $4.00 | $0.0000 | $1.00 |
Prices updated daily. Last check: Oct 28, 2026
Compare API pricing for every OpenAI model →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
About GPT Image 2.5 Sunburst (max)
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.