Release facts and lifecycle
- Release announced
- September 8, 2026
- Model ID
- gpt-image-2.5-sunburst
- API formats
- Image API and Responses image-generation tool
- Added quality options
- xhigh and max
Original provider sources checked . These are source facts, not a benchmark of Flonno's deployment.
Open the live model record, benchmarks and release journal →Where to start
Build edit cases with expected changes and regions that must stay unchanged. Score those independently; a visually attractive result can still fail the editing brief.
- Precise image edits
- Visual iteration
- Image generation
What to check before deployment
The provider positioning is a hypothesis to test. Compare preservation of unchanged image regions and instruction compliance at the same output size and quality setting.
Confirm the exact model ID, checkpoint revision and endpoint in your test record. A base model name does not establish a provider's quantization, accepted inputs, context limit or current availability.
Measure useful results
Build a small evaluation from the workflow you already run. Define the expected answer before testing. Track correct results, formatting errors, retries, complete request time and reported input and output usage.
Count rejected answers and manual corrections. A low token rate can still produce a high cost per accepted result when the workflow needs retries or repair.
Estimate your token budget →Sources and scope
This page is an editorial evaluation guide, not a benchmark result or a claim that this model is served by Flonno.
Official model announcement ↗License / access: Provider service terms. Read the linked license or service terms for the full conditions. Original release and lifecycle sources checked 2026-10-10.