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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 โ GPT, Claude, Gemini, Llama, Mistral, Qwen and 400+ more โ with parameter counts, context windows, benchmark scores and provider pricing.
GPT-3.5
๐บ๐ธ OpenAI
CLUE
๐ฐ๐ท Naver Clova
scFormer
๐บ๐ธ University of Toronto
AR-LDM
๐จ๐ณ Alibaba
Fusion in Encoder
๐ฐ๐ท Samsung
Galactica
๐บ๐ธ Meta AI
Luminous Sparse
๐ฉ๐ช Aleph Alpha
Innovative Drug-like Molecule Generation from
๐บ๐ธ University of Pittsburgh
BLOOMZ-176B
๐บ๐ธ Hugging Face
Mogrifier RLSTM (PTB)
๐ฌ๐ง DeepMind
Mogrifier RLSTM (WT2)
๐ฌ๐ง DeepMind
mT0-13B
๐บ๐ธ Hugging Face
eDiff-I
๐บ๐ธ NVIDIA
GearNet
๐บ๐ธ Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
Taiyi-Stable Diffusion
๐จ๐ณ IDEA CCNL
Transformer-XL + PowerSGD + L-Greco
๐บ๐ธ Institute of Science and Technology Austria (ISTA)
MIF-ST
๐บ๐ธ Microsoft Research
XY-LENTXL
๐บ๐ธ Microsoft
DiffSBDD (CrossDocked)
๐จ๐ญ Ecole Polytechnique Fยดedยดerale de Lausanne (EPFL)
Tk-Instruct
๐บ๐ธ University of Washington
Verbatim Memory Transformer (108M)
๐บ๐ธ Johns Hopkins University
Verbatim Memory Transformer (117M)
๐บ๐ธ Johns Hopkins University
Flan-PaLM 540B
๐บ๐ธ Google
Flan-T5 11B
๐บ๐ธ Google
LMSI-Palm
๐บ๐ธ Google
U-PaLM (540B)
๐บ๐ธ Google
GPT-2 + Progressive LRD
๐จ๐ณ Huawei
GenSLM
๐บ๐ธ University of Chicago
Instruct-GPT + Mind's Eye
๐บ๐ธ Google
Decaying Fast Weights Transformer (WT-103)
๐ธ๐ฌ Jenni
AlphaTensor
๐ฌ๐ง DeepMind
DiffDock
๐บ๐ธ Massachusetts Institute of Technology (MIT)
AminoBert
๐บ๐ธ Harvard Medical School
NMST+GPT-2
๐บ๐ธ New York University (NYU)
GemNet-OC
๐บ๐ธ Technical University of Munich
Sparrow
๐ฌ๐ง DeepMind
CPM-Ant
๐จ๐ณ Tsinghua University
CPAC
๐บ๐ธ Texas A&M
DistilProtBert
๐บ๐ธ Bar-Ilan University
NeMO Megatron GPT 20B
๐บ๐ธ NVIDIA
ProteinMPNN
๐บ๐ธ University of Washington
Deep-LDA
๐จ๐ณ Fudan University
PaLI
๐บ๐ธ Google
Stable Diffusion 1.1
๐ฉ๐ช Ludwig Maximilian University of Munich
Stable Diffusion 1.2
๐ฉ๐ช Ludwig Maximilian University of Munich
Stable Diffusion 1.4
๐ฉ๐ช Ludwig Maximilian University of Munich
Stable Diffusion 1.5
๐บ๐ธ Runway
Dream Diary (้ ๆขฆๆฅ่ฎฐ)
๐จ๐ณ West Lake Xinchen / Xinchen AI / ่ฅฟๆนๅฟ่พฐ๏ผๆญๅท๏ผ็งๆๆ้ๅ ฌๅธ
Luminous-base
๐ฉ๐ช Aleph Alpha
Luminous-extended
๐ฉ๐ช Aleph Alpha
Luminous-supreme
๐ฉ๐ช Aleph Alpha
PeTriBERT
๐ซ๐ท University of Montpellier
M3GNet
๐บ๐ธ University of California San Diego
BlenderBot 3
๐บ๐ธ McGill University
RNA-FM
๐บ๐ธ Chinese University of Hong Kong (CUHK)
SGPT BE 5.8B
๐จ๐ณ Peking University
GLM-130B
๐จ๐ณ Tsinghua University
AlexaTM 20B
๐บ๐ธ Amazon
GPT-NeoX-Japanese
๐ฏ๐ต Abeja
ProtGPT2
๐ฉ๐ช University of Bayreuth
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.