GPT Image 2.5 Flare: AI Image Generator Online
Bottom line
GPT Image 2.5 Flare: OpenAI's fast 2.5 variant — 1K/2K/4K for 3, 5, or 8 credits, same price as Sunburst. Pick GPT Image 2.5 Flare in the Text to Image tool, write your prompt, and pay per image in credits — the price is visible before you generate.
OpenAI released GPT Image 2.5 on 2026-09-08 in two variants that KIE exposes as four separate models on VdoBloom — Flare and Sunburst, each with its own text-to-image and image-to-image id. Flare is the fast, default variant; Sunburst trades some of that speed for edit precision and fidelity. Both variants accept the exact same input schema and — this is the part worth knowing before picking one — cost exactly the same on VdoBloom. Sunburst is not a premium tier; it trades latency, not price.
Flare is the one to reach for by default: it's the faster of the two, built for everyday generation rather than the highest-fidelity pass. It covers 13 aspect ratios including auto, and prices out the same as GPT Image 2 — 3 credits at 1K, 5 at 2K, 8 at 4K. Four of those ratios (27:16, 16:27, 9:8, and 8:9) are 1K-only; VdoBloom clamps the resolution automatically rather than rejecting the request, which is a real improvement over GPT Image 2, where a similar mismatch (1:1 at 4K) fails outright.
Prompts run up to 20,000 characters. It carries VdoBloom's STRICT content label, reflecting OpenAI's provider filters, and holds a 4.7 user rating — just below Sunburst's 4.8, consistent with Flare trading a little fidelity for speed. Credit cost is shown before every generation.
Flare vs Sunburst
Both are the same GPT Image 2.5 model family, launched together on 2026-09-08, and both take identical inputs at identical prices — 3/5/8 credits by resolution, whether you generate or edit. The only real difference is what OpenAI optimized for: Flare for speed, Sunburst for edit precision and fidelity (reflected in its slightly higher 4.8 vs 4.7 user rating on VdoBloom). Since price is identical, the honest way to choose is by job: routine generation and quick iteration lean Flare; a final pass where detail matters leans Sunburst.
What it costs on VdoBloom
3 credits at 1K, 5 at 2K, 8 at 4K — the same ladder as GPT Image 2. Four aspect ratios (27:16, 16:27, 9:8, 8:9) are capped at 1K by the provider; VdoBloom clamps the resolution automatically instead of failing your request, so you won't be charged for a rejected job.
GPT Image 2.5 vs GPT Image 2
The generation is newer (2026-09-08 vs 2026-04-21) and the pricing didn't change, but two real constraints did: GPT Image 2's 1:1-cannot-be-4K rule doesn't apply to 2.5, and 2.5's own resolution-limited ratios clamp instead of erroring out. If you were routing around GPT Image 2's aspect-ratio restriction, 2.5 removes the workaround entirely.
What creators use GPT Image 2.5 Flare for
- Everyday generation where turnaround matters more than squeezing out the last bit of fidelity — that's what Flare is built for.
- Batch concepting at 1K (3 credits) before committing to a 4K final at 8 credits.
- Ultrawide or unusual-ratio compositions (21:9, 27:16, 16:27) without worrying about a rejected resolution combo.
How to use GPT Image 2.5 Flare on VdoBloom
- 1Open the Text to Image tool and select GPT Image 2.5 Flare.
- 2Write your prompt.
- 3Set resolution (1K/2K/4K), aspect ratio, review the credit cost, and generate.
Frequently asked questions
GPT Image 2.5 Flare vs Sunburst — which should I use?
Flare is the fast, default variant; Sunburst trades some of that speed for edit precision and fidelity. Both accept identical inputs and cost exactly the same on VdoBloom — Sunburst is not a premium tier, so there's no price reason to default to Flare. Use Flare when turnaround matters most; use Sunburst when the specific job benefits from its precision.
How much does GPT Image 2.5 Flare cost?
3 credits at 1K, 5 at 2K, 8 at 4K — identical pricing to GPT Image 2 and to the Sunburst variant.
Is GPT Image 2.5 Flare free to try?
Your 10 free signup credits cover three 1K generations (9 credits) or one 2K generation (5 credits) with room to spare.
When did GPT Image 2.5 come out?
2026-09-08, in the Flare and Sunburst variants.
GPT Image 2.5 vs GPT Image 2 — what actually improved?
The pricing shape is identical (3/5/8 credits by resolution), but 2.5 drops GPT Image 2's 1:1-can't-be-4K restriction entirely, and its own resolution-limited ratios (27:16, 16:27, 9:8, 8:9) clamp automatically to 1K instead of failing the job. Editing also jumps from 10 reference images to 16.
Is GPT Image 2.5 Flare censored?
It carries VdoBloom's STRICT content label, matching OpenAI's conservative provider-side filtering — the same tier as GPT Image 2 and GPT Image 1.5.
What aspect ratios does GPT Image 2.5 Flare support?
13, including auto: 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 21:9, 27:16, 16:27, 9:8, and 8:9. The last four are limited to 1K resolution — VdoBloom clamps automatically rather than rejecting the request.
GPT Image 2.5 vs Nano Banana — how do they compare?
Nano Banana (Google's model on VdoBloom) is flat-priced at 6 credits with a narrower 10-ratio set and no resolution control; GPT Image 2.5 Flare scales from 3 to 8 credits by resolution across 13 ratios. Flare is cheaper for 1K/2K work and gives you resolution choice; Nano Banana is simpler if you don't need to think about resolution at all.
How do I prompt GPT Image 2.5 Flare for strong results?
Use the 20,000-character prompt budget to spell out exact counts, positions, lighting, and any on-image text — the model follows detailed, literal instructions well. Pick an explicit aspect ratio if you're relying on 2K or 4K output.