whatmodel.sh / image / Midjourney V6.1

Midjourney V6.1 is a closed-weights image model from Midjourney, released July 2024. Licence: proprietary.

Catalogue identity notes

Midjourney --v 6.1. No public API or weights; comparison-only.

41.9±3.7comparison 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 V6.1, out of 197 with a score, then more from Midjourney.

#modelscorewhereRAMreleased
132BLIP3o-NEXT-GRPO-Text-3B Salesforce Research42±3comparison only
133BAGEL ByteDance Seed42±1api $0.10/image +local~12GB2025-05
134Midjourney V6.1 Midjourney42±4comparison only2024-07
135FLUX.1 [schnell] Black Forest Labs42±2api $0.0030/image +local~7.7GB2024-08
136OmniGen2 BAAI42±2api $0.15/image +local~17GB2025-06
more from Midjourney
121Midjourney V6 Midjourney45±7comparison only2023-12
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▁▂▇▇▆▅█▇▂▃▁▁ #103 of 157 * · 94% of its score · 1 test

Beats Latent Diffusion text2img-large (LDM-KL-8-G, LAION-400M), VQ-Diffusion (ITHQ), FLUX.1 Kontext [dev] here, though they rank higher overall. Trails Playground v2 (1024px aesthetic), Show-o2 7B, FLUX.1 [schnell] here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
EvalMuse-40K model ranking (FGA-BLIP2 overall alignment)3.33 / 5 ✎█▄·▄██▄▄█▄▄▄ beats 12/14easy · avg 3.83 / 5▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 94%at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · EvalMuse-40K: A Reliable and… 94%

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
EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation (arXiv v2)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 94%CC-BY-4.0
prior · pull toward the middle▇▇ 6%
weighted average= 41.9

$ 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