whatmodel.sh / image / Step1X-Edit v1.2 Preview

Step1X-Edit v1.2 Preview is an open-weights image model from StepFun, released September 2025. Licence: apache-2.0.

Catalogue identity notes

Comparison-only, proposed so the Step1X-Edit-v1p2 card's GEdit and KRIS runs reach three models (benchmark minimum). The pinned card (@ca85b97) prints own rows for Step1X-Edit v1.1, Step1x-edit-v1p2-preview and Step1x-edit-v1p2 (base/thinking/thinking+reflection). Weights: https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2-preview (sha f77b8edcde2d8fad57e6c515439e1a242e2e748e, created 2025-09-07, apache-2.0, 12,442,484,544 params in safetensors metadata); distinct from the final v1p2 release (catalogue step1x-edit-v1-2).

49.9±4.5comparison 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 Step1X-Edit v1.2 Preview, out of 197 with a score, then more from StepFun.

#modelscorewhereRAMreleased
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
104Runway Gen-4 Image Runway50±3api $0.050/image
105Lucid Origin Leonardo.Ai49±3api $0.017/image2025-08
more from StepFun
89Step1X-Edit v1.2 StepFun53±2local~51GB2025-11
108Step1X-Edit v1.1 StepFun48±3local~51GB2025-07
154NextStep-1-Large-Edit StepFun37±3comparison only2025-08

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

$ what it's good at

image to image / editing▁▁▁▃▂▃█▃▃▃▁▁ #60 of 81 * · 91% of its score · 2 tests

Beats GPT Image 1 Mini, FLUX.1 Kontext [pro] here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
KRIS-Bench overall lab52.5% ✎██·········█ beats 1/2medium · avg 54%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 46%at its level · small run
GEdit-Bench overall (G_O, language split unspecified) lab74.2% ✎█·······█··█ beats 1/2easy · avg 73%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 45%at its level · small run

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · stepfun-ai/Step1X-Edit-v1p2 m… 91%

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
stepfun-ai/Step1X-Edit-v1p2 model card · lab-reported2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 91%Apache-2.0
prior · pull toward the middle▇▇▇ 9%
weighted average= 49.9

$ 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