whatmodel.sh / image / Uni-1.1 Max

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

Model information sources

Release date ↗

65.4±2.1#22 of 144 image modelsfrom 3 benchmark results across 2 sources

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

$ how it compares

The image models ranked either side of Uni-1.1 Max, out of 197 with a score, then more from Luma AI.

#modelscorewhereRAMreleased
25MAI-Image-2 Microsoft AI66±3comparison only2026-03
26Grok Imagine Image SpaceXAI (xAI)66±2api $0.020/image
27Uni-1.1 Max Luma AI65±2api $0.10/image2026-05
28Grok Imagine Image Pro SpaceXAI (xAI)65±2api $0.050/image
29Seedream 5.0 Lite ByteDance Seed65±2api $0.035/image2026-02
more from Luma AI
21Uni-1.1 Luma AI67±2api $0.040/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▂▅▅▃▄▄█▃▁▂▁▁ #19 of 126 * · 64% of its score · 1 test

Beats Uni-1.1, Grok Imagine Image here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1189.3 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 56/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 64%typical
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #16 of 62 * · 24% of its score · 1 test

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

testresultvs the others in its rundifficultycountswhy
Arena image edit1334.2 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 36/53avg 1153▇▇▇▇▇▇▇▇▇▇ 24%typical
other tests1 not in a task · 10% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata Benchmark.ai image benchmark (overall Elo)846.1 ✎▁▃▁▄▂█▂▁▁▂▁▁ beats 1/34avg 875▇▇▇▇ 10%typical

$ where to run it

Through an API

api · $0.10/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-max (Luma's API page labels this price column "Uni-1.1 Max"). Settings: text-to-image, 2048px output, no reference images, one image. Image edit or one reference image $0.1030; 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 88%, Rapidata/text-to-image-human-… 10%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 88%CC BY 4.0
Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings1▇▇▇ 10%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 65.4

$ 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