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Midjourney V7

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Midjourney V7 is a closed-weights image model from Midjourney, released April 2025.

Model information sources

Release date ↗

40.2±3.4comparison 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 Midjourney V7, out of 197 with a score, then more from Midjourney.

#modelscorewhereRAMreleased
141Stable Diffusion 3.5 Medium Stability AI41±3api $0.035/image +local~20GB2024-10
142CogView4-6B Z.ai41±6comparison only2025-03
143Midjourney V7 Midjourney40±3comparison only2025-04
144UniWorld-V1 PKU-YuanGroup40±2comparison only2025-06
145UniPic2-Metaquery-9B Skywork AI40±6comparison only2025-08
more from Midjourney
121Midjourney V6 Midjourney45±7comparison only2023-12
134Midjourney V6.1 Midjourney42±4comparison only2024-07

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

$ what it's good at

text to image▁▂▇▇▆▅█▇▂▃▁▁ #115 of 157 * · 95% of its score · 2 tests

Beats Latent Diffusion text2img-large (LDM-KL-8-G, LAION-400M), VQ-Diffusion (ITHQ) here, though they rank higher overall. Trails SDXL-Lightning (4-step UNet), Stable Cascade, Stable Diffusion 3 Medium here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
TIIF-Bench v3 (short prompts, TIIF-Evaluator)67.7% ✎▃█····▄▄▄··▂ beats 0/11easy · avg 79%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 88%at its level
GenAI-Bench (VQAScore overall)75.0% ✎█···█·█····█ beats 0/3easy · avg 79%▇▇▇ 7.4%blunt · at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · TIIF-Bench: How Does Your T2I… 95%

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
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? (arXiv v3)2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%CC-BY-4.0
prior · pull toward the middle▇ 5%
weighted average= 40.2

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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