whatmodel.sh / image / Midjourney V6

Midjourney V6

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Midjourney V6 is a closed-weights image model from Midjourney, released December 2023. Licence: proprietary.

Catalogue identity notes

Midjourney --v 6 (V6.0). Midjourney offers no public API or weights; comparison-only.

45.0±6.8comparison 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 Midjourney V6, out of 197 with a score, then more from Midjourney.

#modelscorewhereRAMreleased
119Infinity-8B ByteDance (FoundationVision)46±5comparison only2025-02
120FLUX1.1 [pro] Black Forest Labs46±2api $0.040/image2024-10
121Midjourney V6 Midjourney45±7comparison only2023-12
122Gemini 2.0 Flash Image Generation (preview) Google45±2comparison only2025-05
123Show-o2 1.5B Show Lab, NUS45±5comparison only2025-06
more from Midjourney
134Midjourney V6.1 Midjourney42±4comparison only2024-07
143Midjourney V7 Midjourney40±3comparison only2025-04

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

$ what it's good at

text to image▁▂▇▇▆▅█▇▂▃▁▁ #94 of 157 * · 80% of its score · 1 test

Beats Latent Diffusion text2img-large (LDM-KL-8-G, LAION-400M), VQ-Diffusion (ITHQ) here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
KolorsPrompts human overall satisfaction (Kolors team)3.58 / 5 ✎▄·▄········█ beats 2/3easy · avg 3.87 / 5▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 80%at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · Kwai-Kolors/Kolors repository… 80%

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
Kwai-Kolors/Kolors repository README, human assessment1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 80%Apache-2.0
prior · pull toward the middle▇▇▇▇▇▇ 20%
weighted average= 45.0

$ improve this page

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