whatmodel.sh / image / MAI-Image-1

MAI-Image-1 is a closed-weights image model from Microsoft AI, released November 2025.

Model information sources

Release date ↗

56.6±2.5comparison 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 MAI-Image-1, out of 197 with a score, then more from Microsoft AI.

#modelscorewhereRAMreleased
69Emu3.5 BAAI57±5local~85GB2025-10
70JoyAI-Image-Edit JD (JoyAI)57±3comparison only2026-03
71MAI-Image-1 Microsoft AI57±3comparison only2025-11
72LongCat-Image-Edit Meituan56±2api $0.15/image +local~36GB2025-12
73Seedream 3.0 ByteDance Seed56±2comparison only2025-04
more from Microsoft AI
4MAI-Image-2.6 Microsoft AI81±2comparison only2026-08
15MAI-Image-2.5 Microsoft AI74±2comparison only2026-06
25MAI-Image-2 Microsoft AI66±3comparison only2026-03

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

$ what it's good at

text to image▁▂▇▇▆▅█▇▂▃▁▁ #61 of 157 * · 97% of its score · 1 test

Beats HunyuanImage 2.1 here, though they rank higher overall. Trails Qwen-Image-2512 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1092.7 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 23/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97%typical

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 97%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97%CC BY 4.0
prior · pull toward the middle▇ 3%
weighted average= 56.6

$ 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