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MAI-Image-2.6

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MAI-Image-2.6 is a closed-weights image model from Microsoft AI, released August 2026. Licence: proprietary.

81.0±2.2comparison only: no current run option verifiedfrom 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 MAI-Image-2.6, out of 197 with a score, then more from Microsoft AI.

#modelscorewhereRAMreleased
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
6Grok Imagine Image 2.0 SpaceXAI79±2api $0.040/image2026-08
more from Microsoft AI
15MAI-Image-2.5 Microsoft AI74±2comparison only2026-06
25MAI-Image-2 Microsoft AI66±3comparison only2026-03
71MAI-Image-1 Microsoft AI57±3comparison only2025-11

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

$ what it's good at

text to image▁▂▇▇▆▅█▇▂▃▃▁ #4 of 157 * · 71% of its score · 1 test
testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1332.1 ✎▂▂▃▄▇█▄▂▄▃·▂ beats 72/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 71%typical
image to image / editing▁▁▁▃▂▃█▃▃▃▃▁ #4 of 81 * · 27% of its score · 1 test
testresultvs the others in its rundifficultycountswhy
Arena image edit1428.3 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 50/53avg 1153▇▇▇▇▇▇▇▇▇▇▇ 27%typical

$ where to run it

No verified API or download recorded yet · add one

$ 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= 81.0

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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