whatmodel.sh / image / FLUX.1 Kontext [pro]

FLUX.1 Kontext [pro] is a closed-weights image model from Black Forest Labs, released May 2025.

Model information sources

Release date ↗

50.2±1.7#81 of 144 image modelsfrom 6 benchmark results across 4 sources

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

$ how it compares

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

#modelscorewhereRAMreleased
99Photon Luma AI51±2api $0.019/image
100Recraft V3 Recraft50±2api $0.040/image2024-10
101FLUX.1 Kontext [pro] Black Forest Labs50±2api $0.040/image2025-05
102GLM-Image Z.ai50±2api $0.015/image +local~39GB2026-01
103Step1X-Edit v1.2 Preview StepFun50±5comparison only2025-09
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▂▅▅▃▄▄█▃▁▂▁▁ #65 of 126 * · 55% of its score · 2 tests

Beats FLUX.2 [klein] 4B, P-Image, Photon here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1058.7 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 18/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 42%typical
ServImage task acceptance (human payment decisions, commercial design tasks)16.5% ✎▂▃··▃··▃█··▂ beats 3/11hard · avg 18%▇▇▇▇▇ 13%sharp
image to image / editing▁▁·▃▃▃█▃▃▄▁▁ #51 of 62 · 57% of its score · 5 tests

Trails Step1X-Edit v1.1, GLM-Image here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1176.5 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 7/53avg 1153▇▇▇▇▇▇ 16%typical
CEdit-Bench-CN overall (G_O, GPT-4o judge)14.3% ✎▃·········█▂ beats 0/7medium · avg 42%▇▇▇▇▇ 14%sharp · at its level · noisy
ServImage task acceptance (human payment decisions, commercial design tasks)16.5% ✎▂▃··▃··▃█··▂ beats 3/11hard · avg 18%▇▇▇▇▇ 13%sharp
CEdit-Bench-EN overall (G_O, GPT-4o judge)65.3% ✎▄·▄···▄██··▄ beats 1/7easy · avg 66%▇▇▇▇ 9.1%at its level
CREval-Bench creative image editing (Overall, GPT-4o QA evaluator)74.9% ✎▄█▄··█··▄·▄▄ beats 5/8easy · avg 74%▇▇ 4.9%blunt · at its level

$ where to run it

Through an API

api · $0.040/image · docs.bfl.ai ↗ · price sourceUSD per generated image, flat: BFL lists FLUX.1 Kontext [pro] at $0.04 per image (4 credits at $0.01), for text-to-image and image editing alike. Product: BFL API. API model: flux-kontext-pro. Settings: one image. Price basis: published per-image list rate. BFL's docs list FLUX.1 Kontext under "Legacy Models" / "FLUX.1 Models (Previous Generation)"; it is still sold and no end date is published. Currency: USD. Black Forest Labs official pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 58%, Meituan LongCat — LongCat-Ima… 23%, ServImage: An Image Generatio… 13% and 1 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