whatmodel.sh / image / Seedream 5.0 Lite

Seedream 5.0 Lite is a closed-weights image model from ByteDance Seed, released February 2026.

Model information sources

Release date ↗

64.5±1.6#24 of 144 image modelsfrom 9 benchmark results across 8 sources

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

$ how it compares

The image models ranked either side of Seedream 5.0 Lite, out of 197 with a score, then more from ByteDance Seed.

#modelscorewhereRAMreleased
27Uni-1.1 Max Luma AI65±2api $0.10/image2026-05
28Grok Imagine Image Pro SpaceXAI (xAI)65±2api $0.050/image
29Seedream 5.0 Lite ByteDance Seed65±2api $0.035/image2026-02
30Seedream 4.5 ByteDance64±1api $0.040/image
31Recraft V4.1 Utility Pro Recraft64±2api $0.21/image2026-05
more from ByteDance Seed
12Seedream 5.0 Pro ByteDance Seed75±2api $0.050/image2026-07
45Seedream 4.0 ByteDance Seed61±1api $0.040/image2025-09
73Seedream 3.0 ByteDance Seed56±2comparison only2025-04

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #25 of 126 · 52% of its score · 4 tests

Trails FLUX.2 [max], Recraft V4.1 Utility Pro here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1137.9 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 39/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 37%typical
ImageTime (prompt-only, overall)71.6% ✎▄·····▄█▄·▄█ beats 5/7medium · avg 41%▇▇▇ 7.0%at its level
FEPBench instruction faithfulness57.5% ✎▄·█···▄▄▄▄▄▄ beats 5/8medium · avg 36%▇▇ 4.9%blunt · at its level
Qwen-Image-Bench (Q-Judger, v1)57.2% ✎█▅▅·▅▅█·█··▃ beats 12/17medium · avg 46%▇▇ 3.9%blunt · at its level
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #20 of 62 * · 16% of its score · 2 tests

Beats Qwen-Image-2.0-Pro (2026-06-22) here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
Arena image edit1294.1 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 27/53avg 1153▇▇▇▇▇▇ 14%typical
TECCI human overall success rate (IRCS+GGIS)16.7% ✎▄········▄█▄ beats 1/4very hard · avg 7.1%▇ 1.6%typical
other tests3 not in a task · 31% of its score
testresultvs the others in its rundifficultycountswhy
InfoEdit infographic editing (average success rate)5.0% ✎▄··▄█····▄▄▄ beats 3/6very hard · avg 1.4%▇▇▇▇▇▇ 14%sharp
ChartSync chart editing (Overall)71.1% ✎▂··▂█▂▄▃▂·▂▂ beats 9/12medium · avg 41%▇▇▇▇▇ 11%at its level
Rapidata Benchmark.ai image benchmark (overall Elo)1013.7 ✎▁▁▁▄▂█▂▁▁▂▁▁ beats 22/34avg 875▇▇ 5.7%typical

$ where to run it

Through an API

api · BytePlus ModelArk · $0.035/image · docs.byteplus.com ↗ · price sourceUSD per output image on BytePlus ModelArk; input images free; images not output (e.g. content moderation) are not billed; sequential generation billed per generated image. Product: BytePlus ModelArk image generation. API model: seedream-5-0-lite-260128. Settings: n=1. Price basis: published list rate. Currency: USD. BytePlus official pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 51%, InfoEdit: Probing Global Layo… 14%, ChartSync: A Benchmark for Vi… 11% and 5 more

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

$ 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