curl --request POST "https://gptproto.com/api/v3/openai/gpt-image-2.5-sunburst/text-to-image" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"n": null,
"quality": "auto",
"size": "auto",
"enable_sync_mode": false,
"response_format": "url"
}'Nimm die Kosten für ein einzelnes Beispiel als Ausgangspunkt und leg ein Testbudget fest. Die Preise von GPTProto liegen 5% unter dem Listenpreis.
| Szenario | OpenAI Liste | OpenRouter | GPTProto | Du sparst / Monat |
|---|---|---|---|---|
| Schnelle Tests & Prototypen100 Bilder / Monat | $1.35 | $1.43 | $1.29 | −$0.07≈ $0.81 / Jahr |
| Produkt- & E-Commerce-Fotos1,000 Bilder / Monat | $13.54 | $14.29 | $12.87 | −$0.68≈ $8.13 / Jahr |
| Werbe- / Marketing-Creatives2,500 Bilder / Monat | $33.86 | $35.72 | $32.17 | −$1.69≈ $20.32 / Jahr |
| Social-Media-Inhalte10,000 Bilder / Monat | $135.44 | $142.89 | $128.67 | −$6.77≈ $81.26 / Jahr |
OpenAI · $7.6/M input · $28.5/M output
Nutze die OpenAI GPT-Image-2.5-Sunburst-API auf GPTProto, wenn Bildqualität und präzise Bearbeitungen wichtiger sind als die kürzeste Wartezeit. Generiere oder überarbeite detaillierte Assets in individuellen Größen bis zu 4K, bewahre erkennbare Motive über mehrere Bearbeitungen hinweg und zahle 5 % weniger als die offiziellen Token-Preise – mit nur einem GPTProto-API-Schlüssel.
GPT Image 2.5: Qualität an erster Stelle
Sunburst ist das auf Qualität ausgerichtete GPT-Image-2.5-Modell für detaillierte kreative Arbeiten. Die Generierung dauert länger, um mehr Kontrolle und höhere Wiedergabetreue zu bieten, wenn die visuellen Anforderungen hoch sind.
Mehr Kontrolle bei jeder Bearbeitung
Nimm gezielte Änderungen vor und bewahre dabei das ursprüngliche Motiv, die Szenenstruktur und alle unveränderten Details. Dadurch eignet sich Sunburst für iterative Retuschen, Produktüberarbeitungen und die Verfeinerung von Kampagnenmaterial.
Höhere Motiv- und Stiltreue
Nutze visuelle Referenzen, um erkennbare Motive, Stile und Kompositionen über Transformationen, neue Umgebungen und aufeinanderfolgende Bearbeitungsrunden hinweg beizubehalten.
GPT-Image-2.5 Sunburst is OpenAI's base and highest-quality model in the GPT Image 2.5 API family. It generates images from text, transforms supplied images, and performs localized edits. OpenAI recommends it when GPT Image 2 does not satisfy a complex quality requirement or when a workflow needs the tightest control over what changes between revisions.
The model focuses on subject fidelity, natural lighting and textures, fine visual detail, and preservation of composition across edits. This matters in workflows where an apparently small change can invalidate the asset—for example, altering a product label without reshaping the package, changing a garment without changing the model's identity, or updating weather while retaining the existing camera angle and scene.
Sunburst uses longer generation times than Flare. That trade-off makes it a better fit for final campaign assets, polished product scenes, key visuals, book illustrations, and multi-round edits than for every preview in an interactive application. It supports the same six quality values and flexible size controls as Flare, including experimental resolutions above 2560×1440 and maximum 4K landscape or portrait outputs.
| Specification | GPT-Image-2.5 Sunburst |
|---|---|
| Provider | OpenAI |
| Model ID | gpt-image-2.5-sunburst |
| Pinned snapshot | gpt-image-2.5-sunburst-2026-09-08 |
| Inputs and output | Text + image inputs; image output |
| Core tasks | Image generation, transformation, and precise editing |
| Quality controls | auto, low, medium, high, xhigh, max |
| Resolution control | Standard or custom sizes up to 4K within supported bounds |
| Background options | auto, opaque, transparent |
| File formats | PNG, JPEG, WebP |
Sunburst's closest alternatives solve different parts of the professional image workflow. Compare them against a fixed acceptance checklist rather than judging one attractive sample.
| Model | Best fit | Distinct strength | Consider before choosing |
|---|---|---|---|
| GPT-Image-2.5 Sunburst | Detailed final generation and tightly scoped revision | Highest image quality in the OpenAI family; extra precision across edits | Takes longer to generate than Flare |
| GPT-Image-2.5 Flare | Everyday creation, fast previews, and volume | OpenAI's default speed-oriented 2.5 model | Use Sunburst if Flare misses a strict detail or preservation requirement |
| GPT Image 2 | Maintaining an already validated image workflow | Familiar generation and editing behavior at the same official token rates | Sunburst offers higher quality and adds xhigh and max |
| Nano Banana Pro | Reasoning-led design, multi-turn creation, and factual visuals | Google Search grounding, advanced text rendering, and 1K/2K/4K output | Uses Gemini-specific tools, prompting, and API behavior |
Choose Sunburst when the asset must preserve identity, typography placement, packaging geometry, or an approved composition through several revisions. Choose Nano Banana Pro when search-grounded visual information or a Gemini-centered multi-turn workflow is essential. Choose Flare when the same acceptance criteria can be met with less waiting.
Run an A/B test before routing every request to the slower model. Keep the prompt, input images, dimensions, format, background, and quality setting identical. Score each result against four criteria: instruction completion, unchanged-region preservation, subject fidelity, and usable detail at final size.
Start with Sunburst when GPT Image 2 previously failed the task. If Sunburst passes, submit the same request to Flare. Route future calls to Flare only when it also passes and the latency improvement matters. Keep Sunburst for the requests where its quality advantage changes the business outcome. This test prevents a subjective “looks better” decision from turning every image into a higher-latency call.
Write edit instructions as a visual change list. First identify the exact target, then state the new condition, then lock every region that must remain untouched. Avoid broad requests such as “make it better,” because they give the model permission to reinterpret the whole image.
Packaging revision:
Replace only the flavor name on the front label with “Blood Orange.” Preserve the bottle shape, cap, logo, ingredient text, label dimensions, reflections, camera position, background, and contact shadow. Keep all other pixels visually consistent.
Reference-subject transformation:
Place the referenced person in a quiet winter train carriage at blue hour. Preserve facial proportions, eye color, hairstyle, and age. Match cool window light to the face naturally. Keep the framing at waist height and do not add text or logos.
Review the first output at its final display size before requesting another edit. In later turns, repeat the locked elements and change one condition at a time. This gives Sunburst a clearer preservation boundary and makes regressions easier to identify.
Call gpt-image-2.5-sunburst when you want the current alias, or pin gpt-image-2.5-sunburst-2026-09-08 for a repeatable evaluation. GPTProto applies 5% off OpenAI's listed token rates and lets the same account balance cover other models. Because Sunburst and Flare can consume different output-token quantities at the same nominal quality, compare recorded usage as well as latency and visual results.
Das Modell gpt-image-2.5-sunburst ist ideal für Profis, die hochwertige, zuverlässige visuelle Ergebnisse mit einer hohen Prompt-Treue benötigen. Es eignet sich besonders für:
Anleitungen, Vergleiche und Updates zu diesem Modell.
Alle Artikel
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Erfahren Sie, wie Sie mit der GPT Image 2 API Produktbilder in großen Mengen generieren – mit Python, CSV-Dateien, sicherer Parallelverarbeitung, Wiederholungsversuchen, Base64-Decodierung und Kostenkontrolle.
Finden Sie nach 3 Tests mit echten Produkten heraus, welches KI-Bildmodell sich am besten für den E-Commerce eignet. Vergleichen Sie Produktgenauigkeit, Anzeigentexte, Ergebnisse beim ersten Versuch und Kosten.
Vergleichen Sie GPT Image 2.5 Flare, Sunburst und GPT Image 2 in Tests mit denselben Prompts zu Textgenauigkeit, Bildbearbeitung, visueller Abweichung und tatsächlichen API-Kosten.
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