New: connect Claude & other AIs to GenAIList over MCP โ research the catalog and contribute to the shared knowledge base. Learn how โ
Large language models (LLMs)
Browse every major large language model in one place. This LLM list tracks frontier and open-source foundation models โ GPT, Claude, Gemini, Llama, Mistral, Qwen and 400+ more โ with parameter counts, context windows, benchmark scores and provider pricing.
Jurassic-1-Jumbo
๐ฎ๐ฑ AI21 Labs
FMMformer (2-kernel fast weight + Band20)
๐บ๐ธ University of California Los Angeles (UCLA)
Codex
๐บ๐ธ OpenAI
ERNIE 3.0
๐จ๐ณ Baidu
GemNet-T (OC20)
๐บ๐ธ Technical University of Munich
Adaptive Input Transformer + RD
๐บ๐ธ Microsoft Research Asia
DEQ-Transformer (Post-LN) + Jacobian Regularisation
๐บ๐ธ Carnegie Mellon University (CMU)
CPM-2
๐จ๐ณ Tsinghua University
Fold2Seq
๐บ๐ธ IBM
StyleGAN3-R
๐บ๐ธ NVIDIA
StyleGAN3-T
๐บ๐ธ NVIDIA
Delta RNN (+ full context)
๐จ๐ญ IDSIA
DeBERTa
๐บ๐ธ Microsoft
EMDR
๐บ๐ธ Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
AFP+FPI (PTB)
๐บ๐ธ University of Sheffield
AFP+FPI (WT2)
๐บ๐ธ University of Sheffield
GPT2-Large+LHOPT
๐บ๐ธ OpenAI
CODA
๐บ๐ธ The University of Hong Kong
ByT5-XXL
๐บ๐ธ Google
CogView
๐จ๐ณ Tsinghua University
DeepFRI
๐บ๐ธ Flatiron Institute
ConSERT
๐จ๐ณ Meituan University
MedBERT
๐บ๐ธ Peng Cheng Laboratory
Multitask Unified Model (MUM)
๐บ๐ธ Google
Fairseq + UID: variance
๐บ๐ธ Google AI
ADM
๐บ๐ธ OpenAI
ProtBERT-BFD
๐บ๐ธ Technical University of Munich
ProtBERT-UniRef
๐บ๐ธ Technical University of Munich
ProtT5-XL-U50
๐บ๐ธ Technical University of Munich
ProtT5-XXL
๐บ๐ธ Technical University of Munich
ProtT5-XXL-BFD
๐บ๐ธ Technical University of Munich
Transformer-XL + SIS
๐บ๐ธ INRIA
GPT-J-6B
๐บ๐ธ EleutherAI
SPALM + kNN
๐ฌ๐ง DeepMind
PanGu-ฮฑ
๐จ๐ณ Huawei Noah's Ark Lab
DiffQ Transformer (16L)
๐บ๐ธ Meta AI
PLUG
๐จ๐ณ Alibaba
DLRM-12T
๐บ๐ธ Meta AI
Megatron-LM (1T)
๐บ๐ธ Microsoft Research
Transformer-C
๐บ๐ธ University of Massachusetts Amherst
GraphMS
๐จ๐ณ Dalian University of Technology
TransfoRNN(d=1024)(2-layer) (PTB)
๐จ๐ณ Lenovo Research
T2R + Pretrain
๐บ๐ธ University of Washington
T2R + Random Init
๐บ๐ธ University of Washington
T2R 75% + Pretrain (WT-103)
๐บ๐ธ University of Washington
Unicorn
๐บ๐ธ Allen Institute for AI
GPT-Neo-1.3B
๐บ๐ธ EleutherAI
GPT-Neo-1.3B (finetuned)
๐บ๐ธ EleutherAI
GPT-Neo-125M
๐บ๐ธ EleutherAI
GPT-Neo-125M (finetuned)
๐บ๐ธ EleutherAI
GPT-Neo-2.7B
๐บ๐ธ EleutherAI
GPT-Neo-2.7B (finetuned on PTB)
๐บ๐ธ EleutherAI
GPT-Neo-2.7B (finetuned)
๐บ๐ธ EleutherAI
U-Net GAN (FFHQ)
๐ฉ๐ช Bosch Center for Artificial Intelligence
GLM-10B
๐จ๐ณ Tsinghua University
GLM-10B-bidirectional
๐จ๐ณ Tsinghua University
GLM-10B-unidirectional
๐จ๐ณ Tsinghua University
GLM-2B
๐จ๐ณ Tsinghua University
Very Deep VAEs (ImageNet-64)
๐บ๐ธ OpenAI
AraELECTRA
๐ฑ๐ง American University of Beirut
About Large language models (LLMs)
Large language models (LLMs) are the foundation of modern generative AI โ general-purpose text models trained on vast corpora that can write, reason, summarise, translate and code. Choosing the best LLM is rarely about a single winner: the best AI model for one task may lag on another. Reasoning-heavy work rewards models that score well on benchmarks like MMLU, GPQA and AIME, while agentic and tool-use workloads care more about instruction following, function calling and long-context recall. When you compare LLMs, weigh raw capability against the practical constraints that decide cost and feasibility โ context window, throughput, latency, licensing and price per million tokens. Open-source LLMs such as Llama, Qwen, Mistral and DeepSeek let you self-host and fine-tune, while proprietary frontier models from OpenAI, Anthropic and Google often lead on raw quality. Use our benchmarks to see where each model ranks, and put two candidates side by side with compare before you commit to a provider.
Frequently asked questions
What is the best LLM right now?
There is no single best LLM โ it depends on the task. Frontier proprietary models from OpenAI, Anthropic and Google tend to lead on reasoning benchmarks, while open-source LLMs like Llama, Qwen and DeepSeek are best when you need to self-host or fine-tune. Compare candidates on the benchmarks page for your specific workload.
What is the best open source LLM?
The strongest open-source and open-weights LLMs at any given time typically come from the Llama, Qwen, Mistral and DeepSeek families. They can be downloaded, self-hosted and fine-tuned, and the top ones rival proprietary models on many benchmarks. Filter the list above by availability to see current open-weights options.
How do I compare two LLMs?
Use the compare tool to put two models side by side on parameters, context window, availability and benchmark scores, then check the benchmarks page for task-specific rankings such as MMLU, GPQA and coding scores.