whatmodel.sh / image / Recraft V3

Recraft V3 is a closed-weights image model from Recraft, released October 2024.

Model information sources

Release date ↗

50.4±1.9#80 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 Recraft V3, out of 197 with a score, then more from Recraft.

#modelscorewhereRAMreleased
98P-Image Pruna51±2api $0.0050/image2025-12
99Photon Luma AI51±2api $0.019/image
100Recraft V3 Recraft50±2api $0.040/image2024-10
101FLUX.1 Kontext [pro] Black Forest Labs50±2api $0.040/image2025-05
102GLM-Image Z.ai50±2api $0.015/image +local~39GB2026-01
more from Recraft
31Recraft V4.1 Utility Pro Recraft64±2api $0.21/image2026-05
46Recraft V4.1 Pro Recraft61±3api $0.21/image2026-05
54Recraft V4 Recraft59±3api $0.040/image2026-02

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #71 of 126 · 84% of its score · 3 tests

Trails Runway Gen-4 Image, GLM-Image, FLUX.1 Kontext [pro] here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1020.6 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 10/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 56%typical
GenEval73.2% ✎██·▄·▄·█···▄ beats 6/8easy · avg 71%▇▇▇▇▇▇▇ 18%at its level
MMMG image generation (average over 15 tasks)44.1% ✎█··█▄▄·▄▄·▄▄ beats 3/9medium · avg 51%▇▇▇▇ 10%at its level
other tests1 not in a task · 14% of its score
testresultvs the others in its rundifficultycountswhy
Rapidata human-face generation alignment (Elo)1105.1 ✎▃··▅▃··▃▃··█ beats 6/8avg 1012▇▇▇▇▇▇ 14%typical

$ where to run it

Through an API

api · $0.040/image · www.recraft.ai ↗ · price sourceUSD per generated raster image, Recraft V3 (vector output $0.08; image-to-image, inpainting and outpainting with V3 are also $0.04). Billed as 40 API units per image from pre-purchased unit packages. Product: Recraft API raster image generation. API model: Recraft V3. Settings: raster, text-to-image, n=1. Price basis: published list rate. Currency: USD. Recraft official API pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 56%, MMMG: a Comprehensive and Rel… 28%, Rapidata/Face_Generation_Benc… 14%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 56%CC BY 4.0
MMMG: a Comprehensive and Reliable Benchmark for Multitask Multimodal Generation (arXiv:2505.17613v2)2▇▇▇▇▇▇▇▇ 28%CC-BY-4.0
Rapidata/Face_Generation_Benchmark (Human Face Generation Alignment) published dataset-card leaderboard1▇▇▇▇ 14%CDLA-Permissive-2.0
prior · pull toward the middle▇ 2%
weighted average= 50.4

$ 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