whatmodel.sh / image / Grok Imagine Image

Grok Imagine Image is a closed-weights image model from SpaceXAI (xAI).

65.7±2.1#21 of 144 image modelsfrom 3 benchmark results across 2 sources

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

$ how it compares

The image models ranked either side of Grok Imagine Image, out of 197 with a score.

#modelscorewhereRAMreleased
24Qwen-Image 2.0 Pro Alibaba66±3api $0.075/image2026-03
25MAI-Image-2 Microsoft AI66±3comparison only2026-03
26Grok Imagine Image SpaceXAI (xAI)66±2api $0.020/image
27Uni-1.1 Max Luma AI65±2api $0.10/image2026-05
28Grok Imagine Image Pro SpaceXAI (xAI)65±2api $0.050/image

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #21 of 126 * · 64% of its score · 1 test

Trails Uni-1.1 Max here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1169.7 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 53/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 64%typical
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #17 of 62 * · 24% of its score · 1 test

Beats Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image), Qwen-Image-2.0-Pro (2026-06-22), Uni-1.1 here, though they rank higher overall. Trails Grok Imagine Image Pro, Uni-1.1 Max here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1329.0 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 35/53avg 1153▇▇▇▇▇▇▇▇▇▇ 24%typical
other tests1 not in a task · 10% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata Benchmark.ai image benchmark (overall Elo)988.6 ✎▁▁▁▄▂█▂▁▁▂▁▁ beats 14/34avg 875▇▇▇▇ 10%typical

$ where to run it

Through an API

api · xAI · $0.020/image · docs.x.ai ↗ · price sourceUSD per generated image on the xAI API (output $0.02 per image). Product: xAI API image generation. API model: grok-imagine-image (alias grok-imagine-image-2026-03-02). Settings: one image. Price basis: published per-image list rate. grok-imagine-image-2.0 ($0.04) and grok-imagine-image-quality ($0.05) are separate models. Currency: USD. xAI official models and pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 88%, Rapidata/text-to-image-human-… 10%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 88%CC BY 4.0
Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings1▇▇▇ 10%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 65.7

$ 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