The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Unrecorded-weight frontier language models

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
3 filters active, showing 16 of 1,072 recordsClear all

16

Models

7 organisations

—

Open weights

0 open, 0 closed

16

Frontier

By Epoch's flag

2B

Largest traceable

Seq2Seq LSTM

1959–2014

Span

6 with a traceable size

Releases

by year, from 1999
1999200020012002200320042005200620072008200920102011201220132014

Organisation

Country

Domain

Records

16
Unrecorded-weight frontier language models, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
SNM-skipGoogle2014-1262B *Not recorded
RNNsearch-50*Jacobs University Bremen2014-09—Not recorded
Seq2Seq LSTMGoogle2014-092BNot recorded
TransEUniversite de Technologie de Compiègne – CNRS2013-12942M *Not recorded
DistBelief NNLMGoogle2013-01—Not recorded
RNN LMJohns Hopkins University2010-0970M *Not recorded
KN-LMGoogle2007-0621B *Not recorded
SB-LMGoogle2007-06300B *Not recorded
Hierarchical LM2005-01—Not recorded
NPLM (AP News)University of Montreal / Université de Montréal2003-0312MNot recorded
NPLM (Brown)University of Montreal / Université de Montréal2003-034MNot recorded
Neural LMUniversity of Montreal / Université de Montréal2000-117MNot recorded
RECONTRA-categorized1999-0666,780 *Not recorded
LSTMTechnical University of Munich1997-1110,504Not recorded
Predictive Coding NNTechnical University of Munich1994-12206,910Not recorded
Pandemonium (morse)Massachusetts Institute of Technology (MIT)1959-02—Not recorded

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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