whatmodel.sh / image / Uni-1.1

Uni-1.1 is a closed-weights image model from Luma AI, released May 2026.

Model information sources

Release date ↗

66.6±2.2#18 of 144 image modelsfrom 2 benchmark results 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 Uni-1.1, out of 197 with a score, then more from Luma AI.

#modelscorewhereRAMreleased
19Ideogram 4.5 Ideogram68±3comparison only
20Qwen-Image-2.0-Pro (2026-06-22) Alibaba67±2api $0.075/image2026-06
21Uni-1.1 Luma AI67±2api $0.040/image2026-05
22Boogu-Image-0.1 Base Boogu project67±5comparison only2026-06
23Ideogram 4.0 Ideogram66±2api $0.060/image +local~6.1GB2026-06
more from Luma AI
27Uni-1.1 Max Luma AI65±2api $0.10/image2026-05
99Photon Luma AI51±2api $0.019/image

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #20 of 126 * · 71% of its score · 1 test

Trails Uni-1.1 Max, Qwen-Image 2.0 Pro, Ideogram 4.0 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1184.3 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 55/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 71%typical
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #18 of 62 * · 27% of its score · 1 test

Beats Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image), Qwen-Image-2.0-Pro (2026-06-22) here, though they rank higher overall. Trails Grok Imagine Image Pro, Uni-1.1 Max, Grok Imagine Image here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1315.2 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 34/53avg 1153▇▇▇▇▇▇▇▇▇▇▇ 27%typical

$ where to run it

Through an API

api · $0.040/image · lumalabs.ai ↗ · price sourceUSD per generated 2K (2048-pixel) image, text-to-image, Luma Agents API pay-as-you-go. Product: Luma Agents API image generation. API model: uni-1 (Luma's API page labels this price column "Uni-1.1"; uni-1-max is the Max variant). Settings: text-to-image, 2048px output, no reference images, one image. Image edit or one reference image $0.0434; each extra reference +$0.003. Price basis: Luma's published per-image figure; Luma notes prices are approximate and based on billing tokens. Currency: USD. Luma official API pricing documentation, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 98%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 98%CC BY 4.0
prior · pull toward the middle▇ 2%
weighted average= 66.6

$ improve this page

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