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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.
Shishuo
๐จ๐ณ 4Paradigm
MOSS-Moon-003
๐จ๐ณ Fudan University
BELLE-LLaMA-EXT-7B
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
HuaTuo
๐จ๐ณ Harbin Institute of Technology
SenseChat
๐จ๐ณ SenseTime
BELLE-7B-0.2M
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
BELLE-7B-1M
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
BELLE-7B-2M
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
ERNIE-ViLG 2.0
๐จ๐ณ Baidu
BELLE-7B-0.6M
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
CPM-Bee
๐จ๐ณ Tsinghua University
Lightweight Fine-tuning a Pretrained Protein Language Model for Protein Secondary
๐จ๐ณ Henan University
PanGu-ฮฃ
๐จ๐ณ Huawei Noah's Ark Lab
RIO
๐จ๐ณ West Lake Xinchen / Xinchen AI / ่ฅฟๆนๅฟ่พฐ๏ผๆญๅท๏ผ็งๆๆ้ๅ ฌๅธ
Uni-Mol Molecular Model
๐จ๐ณ Renmin University of China
MengziGPT-General-7B
๐จ๐ณ Langboat
MsPBRsP
๐จ๐ณ Zhengzhou University
mini-GPT-2+Active-AdamW
๐จ๐ณ HEC Montreal
DNA Fine-Tuned Language Model (DFLM)
๐จ๐ณ Tongji University
Vega v2
๐จ๐ณ Wuhan University
ALM 1.0
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
AR-LDM
๐จ๐ณ Alibaba
Taiyi-Stable Diffusion
๐จ๐ณ IDEA CCNL
GPT-2 + Progressive LRD
๐จ๐ณ Huawei
CPM-Ant
๐จ๐ณ Tsinghua University
Deep-LDA
๐จ๐ณ Fudan University
Dream Diary (้ ๆขฆๆฅ่ฎฐ)
๐จ๐ณ West Lake Xinchen / Xinchen AI / ่ฅฟๆนๅฟ่พฐ๏ผๆญๅท๏ผ็งๆๆ้ๅ ฌๅธ
SGPT BE 5.8B
๐จ๐ณ Peking University
GLM-130B
๐จ๐ณ Tsinghua University
YuYan 11B
๐จ๐ณ Hong Kong Baptist University
CodeGeeX
๐จ๐ณ Zhipu AI
DITTO
๐จ๐ณ Tsinghua University
improved U-Net for chest X-ray images segmentation
๐จ๐ณ Henan University of Technology
StyleGAN-XL
๐จ๐ณ Max Planck Institute for Intelligent Systems
CogView2
๐จ๐ณ Tsinghua University
DARK
๐จ๐ณ University College London (UCL)
ERNIE 3.0 Titan
๐จ๐ณ Baidu
WD+LR+M
๐จ๐ณ University of Cambridge
base LM+GNN (WT103)
๐จ๐ณ Shannon.AI
base LM+GNN+kNN
๐จ๐ณ Shannon.AI
KnGPT2
๐จ๐ณ Huawei Noah's Ark Lab
Yuan 1.0
๐จ๐ณ Inspur
PLATO-XL
๐จ๐ณ Baidu
PermuteFormer
๐จ๐ณ Peking University
ProteinLM
๐จ๐ณ Tsinghua University
ERNIE 3.0
๐จ๐ณ Baidu
CPM-2
๐จ๐ณ Tsinghua University
CogView
๐จ๐ณ Tsinghua University
ConSERT
๐จ๐ณ Meituan University
PanGu-ฮฑ
๐จ๐ณ Huawei Noah's Ark Lab
PLUG
๐จ๐ณ Alibaba
GraphMS
๐จ๐ณ Dalian University of Technology
TransfoRNN(d=1024)(2-layer) (PTB)
๐จ๐ณ Lenovo Research
GLM-10B
๐จ๐ณ Tsinghua University
GLM-10B-bidirectional
๐จ๐ณ Tsinghua University
GLM-10B-unidirectional
๐จ๐ณ Tsinghua University
GLM-2B
๐จ๐ณ Tsinghua University
Wu Dao - Wen Hui
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Wu Dao - Wen Su
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Wu Dao - Wen Yuan
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
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.