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Models Released in 2023
Browse every generative AI model released in 2023 — 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 2022 and models from 2024.
Hyena-2 153M
🇺🇸 Stanford University
Hyena-2 355M
🇺🇸 Stanford University
Hyena-3-slim
🇺🇸 Stanford University
Anthropic LM 175B
🇺🇸 Anthropic
BASIC-L + Lion
ControlNet
🇺🇸 Stanford University
ViT-22B
ProteinDT
🇺🇸 University of California (UC) Berkeley
ToolFormer
🇺🇸 Meta AI
Gen-1
🇺🇸 Runway
ProteinSGM
🇺🇸 University of Toronto
CD-GraB (WT2)
🇺🇸 Cornell University
Chemistry42
🇺🇸 Insilico Medicine AI
UniPi
🇺🇸 Google DeepMind
BLIP-2 (Q-Former)
🇺🇸 Salesforce Research
Flan T5-XXL + BLIP-2
🇺🇸 Salesforce Research
KeAP
🇺🇸 The University of Hong Kong
Genie-SCOPe (bio)
🇺🇸 Columbia University
Protst
🇺🇸 Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
RESP AI
🇺🇸 University of California San Diego
DDPM-IP (CelebA)
🇩🇪 Utrecht University
MusicLM
MoLFormer-XL
🇺🇸 IBM
Moxiaoxian
Unknown
Pinshang
Unknown
GPT-2+Active-SGD (WT2)
🇺🇸 University of Montreal / Université de Montréal
mini-GPT-2+Active-AdamW
🇨🇳 HEC Montreal
Operator
🇺🇸 OpenAI
Adaptive Agent
🇬🇧 DeepMind
Ankh_base
🇺🇸 Technical University of Munich
Ankh_large
🇺🇸 Technical University of Munich
Eleven Monolingual v1
🇺🇸 ElevenLabs
Nucleotide Transformer
🇺🇸 NVIDIA
DreamerV3
🇬🇧 DeepMind
SantaCoder
🇺🇸 Hugging Face
VALL-E
🇺🇸 Microsoft
DNA Fine-Tuned Language Model (DFLM)
🇨🇳 Tongji University
SparseOPT-13B
🇺🇸 Institute of Science and Technology Austria (ISTA)
SparseOPT-175B
🇺🇸 Institute of Science and Technology Austria (ISTA)
SparseOPT-30B
🇺🇸 Institute of Science and Technology Austria (ISTA)
SparseOPT-66B
🇺🇸 Institute of Science and Technology Austria (ISTA)
AI Resume
Unknown
BART-IT
🇮🇹 Politecnico di Torino
Nanbei Pavilion
Unknown
2023 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 2023 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 2022 or AI models from 2024 to compare how capabilities, context windows and open-weights availability evolved year over year.