The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Vision models

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
1 filter active, showing 228 of 1,072 recordsClear all

228

Models

89 organisations

50%

Open weights

57 open, 58 closed

35

Frontier

By Epoch's flag

72B

Largest traceable

NVLM-D 72B

1955–2026

Span

88 with a traceable size

Releases

by year, from 2011
2011201220132014201520162017201820192020202120222023202420252026

Organisation

Country

Domain

Records

newest 50 of 228
Vision models, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
MolmoAct 2Allen Institute for AI2026-045B *Open
Gemini Robotics-ER 1.5Google DeepMind2025-09—Closed
EXAONE Path 2.0LG AI Research2025-07175MOpen
Seed1.5-VLByteDance2025-05—Closed
Computer-Using Agent (CUA)OpenAI2025-01—Closed
Eagle 2NVIDIA2025-019BOpen
NVILA 15BNVIDIA2024-1215BOpen
SeedEditByteDance2024-11—Closed
NVLM-D 72BNVIDIA2024-1072BOpen
NVLM-H 72BNVIDIA2024-1072B *Closed
NVLM-X 72BNVIDIA2024-1072B *Closed
Harrison.rad.1Harrison.ai2024-09—Closed
CogAgentTsinghua University2023-1218B *Open
mPLUG-Owl2Alibaba2023-117B *Open
SPHINX (Llama 2 13B)Shanghai AI Lab2023-1120B *Open
DINOv2Facebook AI Research2023-041BOpen
Segment Anything ModelMeta AI2023-04636MOpen
SigLIP 400MGoogle DeepMind2023-03400MOpen
BASIC-L + LionGoogle2023-023BClosed
ViT-22BGoogle2023-0222BClosed
BLIP-2 (Q-Former)Salesforce Research2023-011BOpen
EVA-01Beijing Academy of Artificial Intelligence / BAAI2022-111BOpen
InternImageShanghai AI Lab2022-111BOpen
CoCaGoogle Research2022-062BClosed
ViT-G (model soup)University of Washington2022-032BOpen
data2vec (vision)Meta AI2022-01705M *Open
DeticMeta AI2022-0188M *Open
BASIC-LGoogle2021-113B *Closed
FlorenceMicrosoft2021-11893MClosed
Masked Autoencoders ViT-HFacebook AI Research2021-11632M *Open
Swin Transformer V2 (SwinV2-G)Microsoft Research Asia2021-113BOpen
ViT-G/14 (LiT)Google Research2021-113BClosed
TrOCRBeihang University2021-09558MOpen
YOLOX-XMegvii Inc2021-0899M *Open
SEERFacebook AI Research2021-071BOpen
CoAtNetGoogle2021-062BClosed
Denoising Diffusion Probabilistic Models (LSUN Bedroom)University of California (UC) Berkeley2021-06256MOpen
EfficientNetV2-XLGoogle2021-06208MOpen
ViT-G/14Google Brain2021-062BClosed
Transformer local-attention (NesT-B)Google Cloud2021-0590MOpen
Meta Pseudo LabelsGoogle Brain2021-03480M *Closed
DeiT-BMeta AI2021-0186MOpen
ViT-Base/32Google Brain2020-1086M *Open
ViT-Huge/14Google Brain2020-10632MOpen
EfficientDetGoogle Brain2020-0777M *Open
DETRFacebook2020-0560MOpen
Once for AllMIT-IBM Watson AI Lab2020-048MOpen
SimCLRGoogle Brain2020-02375M *Open
Big Transfer (BiT-L)Google Brain2019-12928M *Closed
StarGAN v2NAVER2019-12—Open

An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.

Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.

Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.

How this museum is made