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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.
Culturome
Unknown
Selfish-RNN (AWD-LSTM-MoS)
🇳🇱 Eindhoven University of Technology
Selfish-RNN (ON-LSTM)
🇳🇱 Eindhoven University of Technology
Selfish-RNN (SNT-ASGD) Stacked LSTMs
🇳🇱 Eindhoven University of Technology
Selfish-RNN (SNT-ASGD)RHNs
🇳🇱 Eindhoven University of Technology
DeiT-B
🇺🇸 Meta AI
Switch
Wu Dao - Wen Yuan
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
NVAE (CIFAR 10)
🇺🇸 NVIDIA
NVAE (Celeba HQ)
🇺🇸 NVIDIA
NVAE (FFHQ)
🇺🇸 NVIDIA
CLIP (ResNet-50)
🇺🇸 OpenAI
CLIP (ViT L/14@336px)
🇺🇸 OpenAI
DALL-E
🇺🇸 OpenAI
Transformer-XL + AutoDropout (PTB)
🇺🇸 Google Research
Subformer (122M)
🇯🇵 National Institute of Advanced Industrial Science and Technology (AIST)
Subformer (83M)
🇯🇵 University of Tokyo
Subformer (96M)
🇯🇵 University of Tokyo
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.