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P-Image

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P-Image is a closed-weights image model from Pruna, released December 2025. Licence: proprietary.

Catalogue identity notes

Arena entry 'p-image' (text-to-image). Released 2025-12: Pruna blog '2025 Pruna recap': 'In December 2025, we launched P-Image and P-Image Edit'. Pruna's hosted text-to-image model (official Replicate model prunaai/p-image). The Arena organisation field is blank; exact name match to Pruna P-Image (as for p-video).

50.7±2.4#78 of 144 image modelsfrom 2 benchmark results across 2 sources* 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 P-Image, out of 197 with a score, then more from Pruna.

#modelscorewhereRAMreleased
96Imagen 3 (imagen-3.0-generate-002) Google52±2comparison only2025-01
97FLUX.2 [klein] 4B Black Forest Labs52±2api $0.0011/image +local~2.9GB2026-01
98P-Image Pruna51±2api $0.0050/image2025-12
99Photon Luma AI51±2api $0.019/image
100Recraft V3 Recraft50±2api $0.040/image2024-10
more from Pruna
74P-Image-Edit Pruna56±4api $0.010/image2025-12

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #67 of 126 * · 84% of its score · 1 test

Beats FLUX.2 [klein] 4B here, though they rank higher overall. Trails FLUX.1 Kontext [pro], Photon here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1033.2 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 13/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%typical
other tests1 not in a task · 13% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata Benchmark.ai image benchmark (overall Elo)890.2 ✎▁▁▃▄▂█▂▁▁▂▁▁ beats 2/34avg 875▇▇▇▇▇ 13%typical

$ where to run it

Through an API

api · Replicate · $0.0050/image · replicate.com ↗ · price sourceUSD per output image on Replicate: the model's billing config lists '$5 per thousand output images' ('or 200 images for $1'). Product: Replicate model API (Pruna's official model). API model: prunaai/p-image. Settings: one output image. Price basis: per-output tariff (not hardware time). Currency: USD. Replicate model page, observed 2026-10-07.

$ how the score was worked out · LMArena leaderboard dataset 84%, Rapidata/text-to-image-human-… 13%

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 dataset1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%CC BY 4.0
Rapidata/text-to-image-human-preference-6M (Benchmark.ai Image Benchmark) published dataset-card rankings1▇▇▇▇ 13%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 50.7

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

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