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Large language models (LLMs)
Browse every major large language model in one place. This LLM list tracks frontier and open-source foundation models — GPT, Claude, Gemini, Llama, Mistral, Qwen and 400+ more — with parameter counts, context windows, benchmark scores and provider pricing.
DCTransformer (ImageNet)
🇬🇧 DeepMind
Generative BST
🇺🇸 Facebook AI Research
ProteinGAN
🇱🇹 Vilnius University
RFA-GATE-Gaussian-Stateful Big
🇺🇸 University of Washington
Wu Dao - Wen Hui
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
Wu Dao - Wen Su
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
SRU++ Base
🇺🇸 ASAPP
SRU++ Large
🇺🇸 ASAPP
SRU++ Large only 2 attention layers (k=5) (WT103)
🇺🇸 ASAPP
Linear Transformer (large)
🇨🇭 IDSIA
Linear Transformer (small)
🇨🇭 IDSIA
MSA Transformer
🇺🇸 Facebook AI Research
DLWP
🇺🇸 University of Washington
CryoDRGN
🇺🇸 Massachusetts Institute of Technology (MIT)
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
Switch
Wu Dao - Wen Yuan
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
NVAE (CIFAR 10)
🇺🇸 NVIDIA
NVAE (Celeba HQ)
🇺🇸 NVIDIA
NVAE (FFHQ)
🇺🇸 NVIDIA
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
AraGPT2-Mega
🇱🇧 American University of Beirut
ERNIE-Doc (247M)
🇨🇳 Baidu
ERNIE-Doc Base (151M, WT103)
🇨🇳 Baidu
Shortformer
🇺🇸 University of Washington
CT-MoS (PTB)
🇺🇸 National Tsing Hua University
CT-MoS (WT2)
CT-MoS + DynamicEval (PTB)
🇺🇸 National Tsing Hua University
CT-MoS + DynamicEval (WT2)
🇺🇸 National Tsing Hua University
DensePhrases
🇺🇸 Korea University
RaSoR
🇺🇸 Korea University
VQGAN + CLIP
🇺🇸 Heidelberg University
ESM1b
🇺🇸 Facebook AI Research
RoBERTa (PFAM)
🇺🇸 IBM Research
OC-GAN (COCO-Stuff)
🇺🇸 Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
OC-GAN (Visual Genome)
🇺🇸 Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
CPM-Large
🇨🇳 Tsinghua University
Profile Prediction
🇺🇸 University of Washington
AlphaFold 2
🇬🇧 DeepMind
KEPLER
🇨🇳 Tsinghua University
AWD-FWM (PTB)
🇨🇭 IDSIA
AWD-FWM (WT2)
🇨🇭 IDSIA
Machine learning a model for RNA structure prediction
🇩🇪 International School for Advanced Studies
CPCProt
🇺🇸 University of Toronto
ChemBERTa
🇺🇸 University of Toronto
CryptoGRU
🇺🇸 Indiana University Bloomington
GBERT-Large
🇩🇪 deepset
German ELECTRA Large
🇩🇪 deepset
mT5-XXL
TinyBert
🇨🇳 Huazhong University of Science and Technology
Memformer (4 encoder + 16 decoder)
🇺🇸 UC Davis
LUKE
🇺🇸 University of Washington
Frage-AWD-LSTM-MemoryAug-NeuralCache (PTB)
🇺🇸 Johns Hopkins University
About Large language models (LLMs)
Large language models (LLMs) are the foundation of modern generative AI — 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 — 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 — 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.