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Reve Edit Fast

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Reve Edit Fast is a closed-weights image model from Reve, released November 2025.

Model information sources

Release date ↗

54.6±4.0comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

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

$ how it compares

The image models ranked either side of Reve Edit Fast, out of 197 with a score, then more from Reve.

#modelscorewhereRAMreleased
82FLUX.2 [klein] 9B Black Forest Labs55±2api $0.015/image +local~11GB2026-01
83FLUX.1 Kontext [max] Black Forest Labs55±2api $0.080/image2025-05
84Reve Edit Fast Reve55±4comparison only2025-11
85Qwen-Image Alibaba54±1api $0.025/image +local~13GB2025-08
86HiDream-O1-Image-Dev HiDream54±5comparison only2026-05
more from Reve
7Reve 2.1 Reve78±2api $0.25/image2026-07
13Reve 2.0 Reve74±2api $0.25/image2026-06
34Reve V1.5 Reve63±3comparison only2026-02

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

$ what it's good at

image to image / editing▁▁▁▃▂▃█▃▃▃▁▁ #53 of 81 * · 93% of its score · 1 test

Beats GPT Image 1 Mini, FLUX.1 Kontext [max] here, though they rank higher overall. Trails GLM-Image, FLUX.2 [klein] 4B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1198.1 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 11/53avg 1153▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 93%typical

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 93%

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 dataset1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 93%CC BY 4.0
prior · pull toward the middle▇▇ 7%
weighted average= 54.6

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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