whatmodel.sh / image / FLUX1.1 [pro]

FLUX1.1 [pro] is a closed-weights image model from Black Forest Labs, released October 2024.

Model information sources

Release date ↗

45.6±1.6#93 of 144 image modelsfrom 6 benchmark results across 5 sources

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of FLUX1.1 [pro], out of 197 with a score, then more from Black Forest Labs.

#modelscorewhereRAMreleased
118Ideogram 2.0 Ideogram46±2api $0.080/image
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
more from Black Forest Labs
32FLUX.2 [max] Black Forest Labs64±1api $0.070/image2025-12
36FLUX.2 [pro] Black Forest Labs63±2api $0.030/image2025-11
37FLUX.2 [flex] Black Forest Labs62±2api $0.050/image2025-11

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #78 of 126 · 89% of its score · 5 tests

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
LMArena text-to-image1015.6 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 9/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 40%typical
EvalMuse-40K model ranking (FGA-BLIP2 overall alignment)3.47 / 5 ✎█▄·▄██▄▄█▄▄▄ beats 13/14easy · avg 3.83 / 5▇▇▇▇▇▇▇ 18%at its level
GenEval58.8% ✎██·▄·▄·█···▄ beats 0/8easy · avg 71%▇▇▇▇▇▇ 14%at its level
ServImage task acceptance (human payment decisions, commercial design tasks)10.0% ✎▂▃··▂··▃█··▂ beats 2/11hard · avg 18%▇▇▇▇ 9.4%sharp
MMMG image generation (average over 15 tasks)43.1% ✎█··█▄▄·▄▄·▄▄ beats 2/9medium · avg 51%▇▇▇ 7.2%at its level
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #54 of 62 * · 9.4% of its score · 1 test

Trails ChronoEdit-14B, FLUX.1 Kontext [dev] here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
ServImage task acceptance (human payment decisions, commercial design tasks)10.0% ✎▂▃··▂··▃█··▂ beats 2/11hard · avg 18%▇▇▇▇ 9.4%sharp
other tests1 not in a task · 10% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata human-face generation alignment (Elo)969.6 ✎▃··▅▃··▃▃··█ beats 3/8avg 1012▇▇▇▇ 10%typical

$ where to run it

Through an API

api · $0.040/image · docs.bfl.ai ↗ · price sourceUSD per generated image, flat: BFL lists FLUX 1.1 [pro] at $0.04 per image (4 credits at $0.01); Ultra and Raw modes are $0.06. Product: BFL API. API model: flux-pro-1.1. Settings: standard mode (not Ultra/Raw), text-to-image, one image. Price basis: published per-image list rate. BFL's docs list FLUX1.1 [pro] under "Legacy Models" / "FLUX.1 Models (Previous Generation)"; still sold, no end date published. Currency: USD. Black Forest Labs official pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 40%, MMMG: a Comprehensive and Rel… 21%, EvalMuse-40K: A Reliable and… 18% and 2 more

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

$ 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