New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
Models Released in 2021
Browse every generative AI model released in 2021 — large language models, image generators, code models and more — ordered by release date. Compare their specs and rankings on our benchmarks page, or put any two side by side with compare. See also models from 2020 and models from 2022.
M6-10T
🇨🇳 Alibaba
AlphaFold-Multimer
🇺🇸 Google DeepMind
Turing ULRv5
🇺🇸 Microsoft
LM-GVP
🇺🇸 Amazon Machine Learning Solutions Lab
TrOCR
🇨🇳 Beihang University
PLATO-XL
🇨🇳 Baidu
DLRM-2022
MegaMolBART
🇺🇸 NVIDIA
HyperCLOVA 204B
🇰🇷 NAVER
HyperCLOVA 82B
🇰🇷 NAVER
NLM
🇺🇸 Carnegie Mellon University (CMU)
Speechmatics Enhanced
🇬🇧 Speechmatics
PermuteFormer
🇨🇳 Peking University
RNS-RNN
🇺🇸 University of Notre Dame
MEB
🇺🇸 Microsoft
FLAN 137B
🇺🇸 Google Research
PLUS-RNN
🇺🇸 Seoul National University
$\infty$-former (SM)
🇬🇧 Universidade de Lisboa (ULisboa)
HJRSS
🇺🇸 University of Washington
ALiBi (L=3072, Lvalid = 3072)
🇺🇸 University of Washington
Speechmatics Standard
🇬🇧 Speechmatics
ProteinLM
🇨🇳 Tsinghua University
XLMR-XXL
🇺🇸 Facebook AI Research
DNABERT
🇺🇸 Northeastern University
GPT-2 (1.5B, Curriculum Learning 45K)
🇺🇸 Microsoft
GPT-2 (117M, SLW 110K)
🇺🇸 Microsoft
Jurassic-1-Jumbo
🇮🇱 AI21 Labs
Zidong Taichu
🇨🇳 Chinese Academy of Sciences
W2v-BERT
🇺🇸 Google Brain
YOLOX-X
🇨🇳 Megvii Inc
FMMformer (2-kernel fast weight + Band20)
🇺🇸 University of California Los Angeles (UCLA)
6-Act Tether
🇺🇸 Facebook AI Research
SEER
🇺🇸 Facebook AI Research
GOAT
🇬🇧 DeepMind
HuBERT
🇺🇸 Facebook AI Research
Codex
🇺🇸 OpenAI
ERNIE 3.0
🇨🇳 Baidu
GemNet-T (OC20)
🇺🇸 Technical University of Munich
Adaptive Input Transformer + RD
🇺🇸 Microsoft Research Asia
DEQ-Transformer (Post-LN) + Jacobian Regularisation
🇺🇸 Carnegie Mellon University (CMU)
CPM-2
🇨🇳 Tsinghua University
Fold2Seq
🇺🇸 IBM
EfficientNetV2-XL
StyleGAN3-R
🇺🇸 NVIDIA
StyleGAN3-T
🇺🇸 NVIDIA
ALIGN
🇺🇸 Google Research
Delta RNN (+ full context)
🇨🇭 IDSIA
Denoising Diffusion Probabilistic Models (LSUN Bedroom)
🇺🇸 University of California (UC) Berkeley
DeBERTa
🇺🇸 Microsoft
CoAtNet
EMDR
🇺🇸 Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
ViT-G/14
🇺🇸 Google Brain
AFP+FPI (PTB)
🇺🇸 University of Sheffield
AFP+FPI (WT2)
🇺🇸 University of Sheffield
GPT2-Large+LHOPT
🇺🇸 OpenAI
CODA
🇺🇸 The University of Hong Kong
Wu Dao 2.0
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
ByT5-XXL
CogView
🇨🇳 Tsinghua University
DeepFRI
🇺🇸 Flatiron Institute
2021 was another fast-moving year for generative AI. The models listed above span large language models (LLMs), image and video generators, code models and more, each with its own parameter count, context window, licensing and availability. To understand how the models of 2021 actually perform, compare their scores on our benchmarks page, and use compare to evaluate any two releases side by side.
Tracking AI by release year makes it easy to see how the frontier moves. Browse AI models from 2020 or AI models from 2022 to compare how capabilities, context windows and open-weights availability evolved year over year.