Varosity

GPT Image 2.5 Sunburst API

GPT Image 2.5 Sunburst, the precision tier of OpenAI's newest image model, via WaveSpeed — spends longer per image for intricate detail; 1K images and edits from a reference image. 3¢ an image at medium quality (4¢ for an edit); providerOptions.quality low 1¢, high 9¢, xhigh 16¢, max 36¢ on Varosity Credits.

$0.03/img on Varosity credits.

Use GPT Image 2.5 Sunburst with your agent Get an API key

no WaveSpeed account needed · provider's list price; credits round each call up to the cent · failed renders never billed

Best for

  • OpenAI's newest image model, precision tier
  • extra fidelity on intricate detail
  • edits from a reference image

Trade-offs

  • slower than Flare
  • 1K output only through Varosity

How to get the best result

GPT Image 2.5 Sunburst, the precision tier of OpenAI's newest image model: spends longer per image for intricate detail, dense layouts and in-image text. Pick instead: gpt-image-2.5-flare for the same price at lower latency; gpt-image-2 for OpenAI's own endpoint; flux-1-schnell for the cheapest drafts.

Prompting

  • Order: scene/background, subject, key details, constraints; name the intended use to set polish.
  • Put exact text in quotes with font, color and placement.
  • For an edit, pass referenceImageUrl and say 'change only X, keep everything else the same'.

Settings on Varosity

  • Always 1K. REST providerOptions.quality: low 1¢, medium 3¢ (default), high 9¢, xhigh 16¢, max 36¢; an edit with referenceImageUrl adds 1.5¢ before rounding (low 3¢, medium 4¢, high 11¢, xhigh 18¢, max 38¢). Any other quality value is sent and billed as medium.
  • aspectRatio 1:1, 16:9, 9:16, 4:5 or 21:9; an edit follows the reference image's shape.

Avoid

  • Sunburst for quick drafts; Flare is the same price and faster.
  • Expecting 2K or 4K output through Varosity.

Example prompt

Detailed cutaway illustration of a mechanical wristwatch, labeled callouts "Mainspring", "Balance Wheel", "Escapement" in thin black sans-serif on cream.

From wavespeed.ai, wavespeed.ai, checked against what Varosity sends.

Call it from your code

One Varosity key works for every model.

curl -X POST https://varosity.ai/api/v1/images \
  -H "Authorization: Bearer $VAROSITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "studio product shot of a matte black water bottle, soft rim light",
    "modelId": "gpt-image-2.5-sunburst",
    "aspectRatio": "1:1"
  }'

Or ask your agent

Connect Claude, Cursor, or any MCP client to https://varosity.ai/api/mcp with your key, then say:

"Use Varosity with gpt-image-2.5-sunburst to generate an image of …"
Agent setup guide

Compare GPT Image 2.5 Sunburst

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