whatmodel.sh / image / LongCat-Image

LongCat-Image is an open-weights image model from Meituan, released December 2025. Its published size is 6B parameters. Licence: apache-2.0.

Model information sources

Release date ↗ · Weights licence ↗ · Parameter count ↗

The makers technical report (arXiv 2512.07584, CC BY 4.0) clarifies this is the core diffusion model: "With a core diffusion model of only 6B parameters"; text encoder/VAE not included.

53.4±3.5#71 of 144 image modelsfrom 3 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 LongCat-Image, out of 197 with a score, then more from Meituan.

#modelscorewhereRAMreleased
86HiDream-O1-Image-Dev HiDream54±5comparison only2026-05
87LLaDA-Image-Turbo Ant Group54±3local~22GB2026-09
88LongCat-Image Meituan53±4api $0.13/image +local~15GB2025-12
89Step1X-Edit v1.2 StepFun53±2local~51GB2025-11
90Kling Image 2.1 Kuaishou53±7api $0.014/image
more from Meituan
72LongCat-Image-Edit Meituan56±2api $0.15/image +local~36GB2025-12

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

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #59 of 126 · 95% of its score · 7 tests

Beats FLUX.2 [klein] 9B, Qwen-Image, LLaDA-Image-Turbo here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
QC-T2I-Bench (English, HCQ total)83.9% ✎▄····▄█▄▄█▄█ beats 1/10easy · avg 82%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 68%typical
WISE (WiScore overall, GPT-4o judge)65.0% ✎▄·▆▂▆█▄▆▂▄·▄ beats 20/22medium · avg 60%▇▇▇▇▇▇▇▇▇ 23%at its level
ChineseWord (LongCat-Image 8,105-character set, PPOCRv5) overall lab90.7% ✎▄█·········▄ beats 3/3medium · avg 58%▇ 3.3%blunt · at its level · noisy
GenEval lab87.0% ✎▇▃▅▇▁▄▅▃█▃▃▅ beats 35/39easy · avg 79%—not counted yet: no other model in the same run to compare it with
DPG-Bench lab86.8% ✎▄·▂·▂▆█▄▂▄▂▂ beats 12/17—not counted yet: no other model in the same run to compare it with
CVTG-2K word accuracy lab86.6% ✎▄▄▄█▄▄·▄···▄ beats 3/8—not counted yet: no other model in the same run to compare it with
WISE overall (model publisher's run) lab65.0% ✎no other model yet—not counted yet: no other model in the same run to compare it with

$ where to run it

Through an API

api · fal.ai · $0.13/image · fal.ai ↗ · price sourceUSD for one 1-megapixel output: fal bills this endpoint $0.13 per megapixel (price = rate × 1 MP; fal's rounding for 1024×1024 ≈ 1.05 MP is not stated; larger outputs cost proportionally more). Product: fal.ai serverless text-to-image. API model: fal-ai/longcat-image (LongCat Image, 6B). Settings: 1 MP output, one image. Price basis: published per-megapixel list rate × 1 MP. Currency: USD. Not a Meituan direct tariff. fal.ai official model page, observed 2026-09-26.

Other ways to run it

  1. Run it as published · needs ~15 GB · from github.com/leejet
    sd-cli --diffusion-model models/LongCat-Image-Q4_K_M.gguf --vae models/ae.safetensors --llm models/Qwen2.5-VL-7B-Instruct.Q8_0.gguf -p "a lovely cat holding a sign says 'longcat.cpp'" --cfg-scale 5.0 --sampling-method euler --flow-shift 3 -v --offload-to-cpu --diffusion-fa

Weights and documentation: huggingface.co/meituan-longcat ↗

$ how the score was worked out · QC-T2I-Bench: Scalable Questi… 68%, WISE: A World Knowledge-Infor… 23%, Meituan LongCat — LongCat-Ima… 3%

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
QC-T2I-Bench: Scalable Question-Centric Text-to-Image Evaluation (Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 68%CC-BY-4.0
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation (arXiv v4)1▇▇▇▇▇▇▇ 23%CC-BY-SA-4.0
Meituan LongCat — LongCat-Image technical report · lab-reported1▇ 3%CC BY 4.0
prior · pull toward the middle▇▇ 5%
weighted average= 53.4

not counted (4)

Meituan LongCat — LongCat-Image technical reportCVTG-2K word accuracy [correct]86.6%fewer than three models have this test yet, or this source ran it for this model alone
Meituan LongCat — LongCat-Image technical reportDPG-Bench [correct]86.8%fewer than three models have this test yet, or this source ran it for this model alone
Meituan LongCat — LongCat-Image technical reportGenEval [correct]87.0%fewer than three models have this test yet, or this source ran it for this model alone
Meituan LongCat — LongCat-Image technical reportWISE overall (model publisher's run) [correct]65.0%fewer than three models have this test yet, or this source ran it for this model alone

$ 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