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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.
ChatBit
๐จ๐ณ Beijing Institute of Technology
RiboDiffusion
๐จ๐ณ Beihang University
CriticGPT
๐บ๐ธ OpenAI
Index-1.9B
๐จ๐ณ "Shanghai Kuanyu Digital Technology Co.
Molecular Diffusion Models with Virtual Receptors
๐บ๐ธ Verily Research
ESM3 (98B)
๐บ๐ธ EvolutionaryScale
ESM3-open-small
๐บ๐ธ EvolutionaryScale
BADGER
๐บ๐ธ NVIDIA
DiffPALM
๐จ๐ญ Ecole Polytechnique Fยดedยดerale de Lausanne (EPFL)
Gemma 2 27B
๐บ๐ธ Google DeepMind
Gemma 2 2B
๐บ๐ธ Google DeepMind
Gemma 2 9B
๐บ๐ธ Google DeepMind
Code Droid
๐บ๐ธ Factory
Hermes 2 Theta Llama-3 70B
๐บ๐ธ Nous Research
MPNNsol
๐จ๐ญ Ecole Polytechnique Fยดedยดerale de Lausanne (EPFL)
RNA-FrameFlow
๐จ๐ณ National University of Singapore
GLM-4V-9B
๐จ๐ณ Zhipu AI
DeepSeek-Coder-V2 236B
๐จ๐ณ DeepSeek
PRISM-1
๐ฌ๐ง Wayve
JIUTIAN-139MoE
๐บ๐ธ China Mobile
MindEye2
๐บ๐ธ Stability AI
Nemotron-4 340B
๐บ๐ธ NVIDIA
PLaMo-100B
๐ฏ๐ต Preferred Networks Inc
Llama-3.1-Nemotron-70B-Instruct
๐บ๐ธ NVIDIA
Mamba2-Hybrid
๐บ๐ธ NVIDIA
Phoenix 1.0 Ultra
๐ฆ๐บ Leonardo AI
ProteinReDiff
๐บ๐ธ FPT Software AI Center
Shutterstock ImageAI
๐บ๐ธ Databricks
Stable Diffusion 3 Medium
๐บ๐ธ Stability AI
Samba 3.8B
๐บ๐ธ Microsoft
TiTok-L
๐จ๐ณ ByteDance
Qwen2-0.5B
๐จ๐ณ Qwen
Qwen2-1.5B
๐จ๐ณ Qwen
Qwen2-57B-A14B
๐จ๐ณ Qwen
Qwen2-72B
๐จ๐ณ Qwen
Qwen2-7B
๐จ๐ณ Qwen
MiniCPM-1.2B
๐จ๐ณ Tsinghua University
MiniCPM-2.4B
๐จ๐ณ Tsinghua University
MiniCPM-3-4B
๐จ๐ณ Tsinghua University
ProTrek
๐จ๐ณ Westlake University
Prot2Token
๐บ๐ธ University of Missouri
DRGN-AI
๐บ๐ธ Stanford University
MULAN
๐ท๐บ AIRI Artificial Intelligence Research Institute
Ark LLM (ๆน่ๅคงๆจกๅ)
๐จ๐ณ Zhuhai Wujiefangzhou Intelligent Technology
Granite 20B
๐บ๐ธ IBM Research
KeTu (Kolors)
๐จ๐ณ Kuaishou Technology
Mamba 2, 2.7B
๐บ๐ธ Princeton University
sgRNAGen
๐จ๐ณ Beijing Institute of Technology
CLAY
๐จ๐ณ Shanghai Tech University
FoldFlow2
๐ฌ๐ง Dreamfold
ChunkLlama2-13B
๐จ๐ณ Alibaba
Codestral
๐ซ๐ท Mistral AI
Aurora
๐บ๐ธ Microsoft Research
Nanbeige2-16B-Chat
๐จ๐ณ Nanbeige LLM Lab
LUXIA-21.4B-Alignment
๐ฐ๐ท SaltLux
NV-Embed-v1
๐บ๐ธ NVIDIA
TimeGPT-1
๐บ๐ธ Nixtla
Llama-3-70B-Synthia-v3.5
Unknown
Zamba2-7B
๐บ๐ธ Zyphra
Xingchen Jianwei Security Model (ๆ่พฐยท่งๅพฎๅฎๅ จๅคง ๆจกๅ)
๐จ๐ณ China Telecom
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.