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

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

Model information sources

Release date ↗

54.7±1.9#68 of 144 image modelsfrom 4 benchmark results across 3 sources

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

$ how it compares

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

#modelscorewhereRAMreleased
81FLUX.2 [klein] Base 9B Black Forest Labs55±4comparison only2026-01
82FLUX.2 [klein] 9B Black Forest Labs55±2api $0.015/image +local~11GB2026-01
83FLUX.1 Kontext [max] Black Forest Labs55±2api $0.080/image2025-05
84Reve Edit Fast Reve55±4comparison only2025-11
85Qwen-Image Alibaba54±1api $0.025/image +local~13GB2025-08
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▂▅▅▃▄▄█▃▁▂▁▁ #58 of 126 * · 71% of its score · 2 tests

Beats FLUX.2 [klein] 9B here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1074.4 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 20/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 53%typical
GenExam (relaxed overall, GPT-5 judge)28.5% ✎▆▆·▂▂····▂▂█ beats 5/13hard · avg 20%▇▇▇▇▇▇▇ 18%sharp · at its level · noisy
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #48 of 62 * · 20% of its score · 1 test

Beats GPT Image 1 Mini here, though they rank higher overall. Trails GLM-Image, FLUX.2 [klein] 4B, Ideogram 3.0 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1180.7 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 8/53avg 1153▇▇▇▇▇▇▇▇ 20%typical
other tests1 not in a task · 7.4% of its score
testresultvs the others in its rundifficultycountswhy
EdiVal multi-turn editing overall (EdiVal-O after turn 3)53.0% ✎▂·▂▃·▂·▃▂·▃█ beats 8/14medium · avg 42%▇▇▇ 7.4%blunt · at its level

$ where to run it

Through an API

api · $0.080/image · docs.bfl.ai ↗ · price sourceUSD per generated image, flat: BFL lists FLUX.1 Kontext [max] at $0.08 per image (8 credits at $0.01), for text-to-image and image editing alike. Product: BFL API. API model: flux-kontext-max. 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 73%, GenExam leaderboard (OpenGVLa… 18%, EdiVal-Agent: An Object-Centr… 7%

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
LMArena leaderboard dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 73%CC BY 4.0
GenExam leaderboard (OpenGVLab/GenExam README, relaxed score)1▇▇▇▇▇ 18%MIT
EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing (arXiv:2509.13399v3)1▇▇ 7%CC-BY-4.0
prior · pull toward the middle▇ 1%
weighted average= 54.7

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data updated · sources and licences · json