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MiniMax image-01

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MiniMax image-01 is a closed-weights image model from MiniMax. Licence: proprietary.

Catalogue identity notes

MiniMax's text-to-image API model image-01 (listed by that id on MiniMax's own pay-as-you-go pricing doc). Rapidata's Face Generation Benchmark uses the Replicate id 'minimax/image-01'. Release month not taken (no first-party date checked).

52.7±4.8#75 of 144 image modelsfrom 1 benchmark result 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 MiniMax image-01, out of 197 with a score.

#modelscorewhereRAMreleased
91Imagen 4 Fast Google53±4comparison only2025-08
92Wan 2.5 Image-to-Image Preview Alibaba53±4api $0.030/image2025-09
93MiniMax image-01 MiniMax53±5api $0.0035/image
94Ideogram 3.0 Ideogram52±2api $0.060/image2025-03
95UniPic 3 Skywork AI52±3comparison only2026-01

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

$ what it's good at

other tests1 not in a task · 90% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata human-face generation alignment (Elo)1051.6 ✎▃··▅▃··▃▃··█ beats 5/8avg 1012▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 90%typical

$ where to run it

Through an API

api · $0.0035/image · platform.minimax.io ↗ · price sourceUSD per generated image: MiniMax pay-as-you-go pricing, Image section, 'image-01 | $0.0035 per image'. Product: MiniMax Image Generation API. API model: image-01. Settings: one image. Price basis: published list rate. Currency: USD. Official MiniMax pricing doc, observed 2026-10-10.

$ how the score was worked out · Rapidata/Face_Generation_Benc… 90%

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
Rapidata/Face_Generation_Benchmark (Human Face Generation Alignment) published dataset-card leaderboard1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 90%CDLA-Permissive-2.0
prior · pull toward the middle▇▇▇ 10%
weighted average= 52.7

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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