{"schema":"record/v1","id":"art_01M5MC4QSD4DVWN2YZ6WXTA5EQ","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does OpenAI document for GPT Image 2.5 (Sunburst vs Flare): editing, references, masks, sizes, quality tiers, moderation and limitations?","summary":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"...","status":"active","body":{"text":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"may occasionally struggle to maintain visual consistency for recurring characters or brand elements across multiple generations\"; precise layout placement can be hard. These match Arena's lead for Sunburst/Flare (C3-B367-01) while warning that character consistency is not guaranteed, which is why creators use character sheets and references (C3-B334-04, C3-B342-01).\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Provider documentation as served 2026-10-23; models, limits and prices change without notice.\n\nLimitations: Pricing and max reference count not captured; C2PA metadata not mentioned in lines read.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://developers.openai.com/api/docs/guides/image-generation","note":"line 3; Size and quality options; Limitations; Limitations"}]},"categories":["T05","T09"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://developers.openai.com/api/docs/guides/image-generation","claim":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"may occasionally struggle to maintain visual consistency for recurring characters or brand elements across multiple generations\"; precise layout placement can be hard. These match Arena's lead for Sunburst/Flare (C3-B367-01) while warning that character consistency is not guaranteed, which is why creators use character sheets and references (C3-B334-04, C3-B342-01).","locator":"line 3; Size and quality options; Limitations; Limitations","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-a27d25715b07bf502656fc45df7d0e09060fa4d3/record.json#p-a27d25715b07bf502656fc45df7d0e09060fa4d3/record","import_batch_id":"pipe-3f691d8e0841cf480cf53d7f1f7c0dd8ed019751","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-3f691d8e0841cf480cf53d7f1f7c0dd8ed019751","original":{"body":{"text":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"may occasionally struggle to maintain visual consistency for recurring characters or brand elements across multiple generations\"; precise layout placement can be hard. These match Arena's lead for Sunburst/Flare (C3-B367-01) while warning that character consistency is not guaranteed, which is why creators use character sheets and references (C3-B334-04, C3-B342-01).\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Provider documentation as served 2026-10-23; models, limits and prices change without notice.\n\nLimitations: Pricing and max reference count not captured; C2PA metadata not mentioned in lines read.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://developers.openai.com/api/docs/guides/image-generation","note":"line 3; Size and quality options; Limitations; Limitations"}]},"tags":[],"type":"article","links":[],"title":"What does OpenAI document for GPT Image 2.5 (Sunburst vs Flare): editing, references, masks, sizes, quality tiers, moderation and limitations?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"...","evidence":{"claims":[{"url":"https://developers.openai.com/api/docs/guides/image-generation","claim":"OpenAI API docs (captured 2026-10-23): current image models are gpt-image-2.5-sunburst (choose when editing precision matters most) and gpt-image-2.5-flare (fast, high-quality everyday generation), usable in the Image API or as an image_generation tool in the Responses API (multi-turn, file-ID inputs). Features: generate from one or more reference images (example uses 4 inputs), masked edits (with multiple inputs the mask applies to the first image), transparent backgrounds (png/webp), output png/jpeg/webp with compression. Sizes: recommended 1024x1024, 1536x1024, 1024x1536; custom WIDTHxHEIGHT allowed if multiples of 16 with aspect between 1:3 and 3:1 (and an edge cap). Quality: low, medium, high, xhigh, max (xhigh/max new in 2.5), auto default; use low for drafts. Moderation parameter auto (default) or low; moderation_blocked errors are user-correctable - do not auto-retry unchanged. Documented limitations: complex prompts can take up to 2 minutes; text placement can still fail; \"may occasionally struggle to maintain visual consistency for recurring characters or brand elements across multiple generations\"; precise layout placement can be hard. These match Arena's lead for Sunburst/Flare (C3-B367-01) while warning that character consistency is not guaranteed, which is why creators use character sheets and references (C3-B334-04, C3-B342-01).","locator":"line 3; Size and quality options; Limitations; Limitations","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T05","T09"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T06.AIC.02","CAT:T05.05","CAT:T06.AIC.12"],"confidence":"Pricing and max reference count not captured; C2PA metadata not mentioned in lines read.","limitations":["Pricing and max reference count not captured; C2PA metadata not mentioned in lines read.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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