The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Open-weight models in 2024

39

Models

19 organisations

100%

Open weights

39 open, 0 closed

2

Frontier

By Epoch's flag

671B

Largest traceable

DeepSeek-V3

2024

Span

31 with a traceable size

Releases

by month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sept
Oct
Nov
Dec

Records

39
Open-weight models in 2024, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
DeepSeek-V3DeepSeek2024-12671BOpen
EXAONE 3.5 32BLG AI Research2024-1232BOpen
InfinityByteDance2024-122BOpen
Llama 3.3 70BMeta AI2024-1270BOpen
NVILA 15BNVIDIA2024-1215BOpen
STORM-B/8University of Southern California2024-12101MOpen
Hunyuan-LargeTencent2024-11389BOpen
Pixtral LargeMistral AI2024-11124BOpen
CHAI-1Chai discovery2024-10Open
Llama-3.1-Nemotron-70B-InstructNVIDIA2024-10Open
NVLM-D 72BNVIDIA2024-1072BOpen
RDT-1BTsinghua University2024-101B *Open
DeepSeek-V2.5DeepSeek2024-09236BOpen
Llama 3.2 11BMeta AI2024-0911BOpen
Oryx 34BTsinghua University2024-0934BOpen
Qwen2.5 Instruct (72B)Alibaba2024-0973BOpen
Qwen2.5-32BAlibaba2024-0933BOpen
Qwen2.5-72BAlibaba2024-0973BOpen
Telechat2-115BChina Telecom2024-09115BOpen
Jamba 1.5-LargeAI21 Labs2024-08398BOpen
LLaVA-OV-72BByteDance2024-0872BOpen
Llama 3.1-405BMeta AI2024-07405BOpen
MathstralMistral AI2024-077BOpen
Mistral Large 2Mistral AI2024-07123B *Open
Cambrian-1-34BNew York University (NYU)2024-0634BOpen
DeepSeek-Coder-V2 236BDeepSeek2024-06236BOpen
Nemotron-4 340BNVIDIA2024-06340BOpen
OpenVLAStanford University2024-067BOpen
Qwen2-72BAlibaba2024-0673BOpen
AlphaFold 3Google DeepMind2024-05Open
GenCastGoogle DeepMind2024-05Open
Octo-BaseUniversity of California (UC) Berkeley2024-0593MOpen
VILA1.5-13BNVIDIA2024-0513BOpen
Llama 3-70BMeta AI2024-0470BOpen
DBRXDatabricks2024-03132BOpen
ManiGaussianTsinghua University2024-03Open
AyaCohere Labs (formerly Cohere for AI)2024-0213B *Open
Qwen1.5-72BAlibaba2024-0272BOpen
AlphaGeometryGoogle DeepMind2024-01151MOpen

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.

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