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GPT Image 2.5 Flare

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GPT Image 2.5 Flare is a closed-weights image model from OpenAI, released September 2026. Licence: proprietary.

87.9±2.0#2 of 144 image modelsfrom 4 benchmark results across 3 sources

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of GPT Image 2.5 Flare, out of 197 with a score, then more from OpenAI.

#modelscorewhereRAMreleased
1GPT Image 2.5 Sunburst OpenAI92±2api $0.013/image2026-09
2GPT Image 2.5 Flare OpenAI88±2api $0.013/image2026-09
3GPT Image 2 OpenAI85±1api $0.053/image2026-04
4MAI-Image-2.6 Microsoft AI81±2comparison only2026-08
5Nano Banana 2.1 Google81±2api $0.034/image2026-10
more from OpenAI
14ChatGPT Image Latest (chatgpt-image-latest) OpenAI74±4api $0.034/image2025-12
17GPT Image 1.5 OpenAI71±1api $0.034/image2025-12
42GPT Image 1 OpenAI61±1api $0.042/image2025-04

see all image models · find the ones that fit your machine

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▃ #2 of 126 * · 66% of its score · 2 tests
testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1397.6 ✎▂▂▃▄▇█▄▂▄▂·▃ beats 74/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 61%typical
GenExam (relaxed overall, GPT-5 judge)94.6% ✎▆▆·▂▂····▂▂█ beats 12/13hard · avg 20%▇▇ 5.2%sharp · maxed out · noisy
image to image / editing▁▁·▃▂▃█▃▃▄▁▃ #2 of 62 * · 23% of its score · 1 test
testresultvs the others in its rundifficultycountswhy
Arena image edit1481.0 ✎▂▁▁▂▆▇█▄▆▅▁▃ beats 52/53avg 1153▇▇▇▇▇▇▇▇▇ 23%typical
other tests1 not in a task · 9.4% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata Benchmark.ai image benchmark (overall Elo)1207.1 ✎▁▁▁▄▂█▂▁▁▂▁▃ beats 33/34avg 875▇▇▇▇ 9.4%typical

$ where to run it

Through an API

api · fal.ai · $0.013/image · fal.ai ↗ · price sourceUSD per generated image, 1024×1024 medium quality: fal's per-size/per-quality table for ChatGPT Images 2.5 on this endpoint lists 1024×1024 at low $0.00588, medium $0.01317, high $0.05268, xhigh $0.09366, max $0.21072 (fal default quality is high). Product: fal.ai proxy of the OpenAI image model. API model: openai/gpt-image-2.5/flare/text-to-image (OpenAI gpt-image-2.5-flare). Settings: 1024×1024, quality=medium, num_images=1. Price basis: fal's own published per-image figure (fal bills tokens underneath at $5/1M text input and $8/$30 per 1M image input/output tokens; fal states longer or more complex prompts cost more, so input text tokens are additional). Not an OpenAI direct tariff (OpenAI publishes token prices only). Currency: USD. fal.ai official model page, observed 2026-09-25.

$ how the score was worked out · LMArena leaderboard dataset 84%, Rapidata/text-to-image-human-… 9%, GenExam leaderboard (OpenGVLa… 5%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
LMArena leaderboard dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%CC BY 4.0
Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings1▇▇▇ 9%CC-BY-4.0
GenExam leaderboard (OpenGVLab/GenExam README, relaxed score)1▇▇ 5%MIT
prior · pull toward the middle▇ 2%
weighted average= 87.9

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json