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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.
QMoE: compressed SwitchTransformer
๐บ๐ธ Institute of Science and Technology Austria (ISTA)
Zephyr 7B
๐บ๐ธ Hugging Face
DALLยทE 3
๐บ๐ธ OpenAI
Llemma 34B
๐บ๐ธ Princeton University
Llemma 7B
๐บ๐ธ Princeton University
Table-GPT
๐บ๐ธ Microsoft Research
Jiutian
๐บ๐ธ China Mobile
CELLE-2
๐บ๐ธ Chan Zuckerberg Initiative
RoseTTAFold All-Atom (RFAA)
๐บ๐ธ University of Washington
FinGPT-13B
๐บ๐ธ University of California Los Angeles (UCLA)
NAEPro
๐บ๐ธ University of California Santa Barbara (UCSB)
FoldFlow
๐บ๐ธ McGill University
LLaMA-7B (protein-oriented instruction-tuned)
๐บ๐ธ Zhejiang University (ZJU)
MiniGPT4 (Vicuna finetune)
๐บ๐ธ King Abdullah University of Science and Technology (KAUST)
Phi-1
๐บ๐ธ Microsoft Research
CTM (CIFAR-10)
๐บ๐ธ Stanford University
StableLM-3B-4E1T
๐บ๐ธ Stability AI
Wuerstchen
๐บ๐ธ Technische Hochschule Ingolstadt
Amazon Titan
๐บ๐ธ Amazon
Emu (Meta)
๐บ๐ธ Meta AI
AlphaMissense
๐บ๐ธ Google DeepMind
PengCheng Mind (้นๅ่ๆตท)
๐บ๐ธ Peng Cheng Laboratory
BTLM-3B
๐บ๐ธ Cerebras Systems
GPT-MolBERTa
๐บ๐ธ Carnegie Mellon University (CMU)
Phi-1.5
๐บ๐ธ Microsoft
MADLAD-400 10B
๐บ๐ธ Google DeepMind
Persimmon-8B
๐บ๐ธ Adept
XGen-7B
๐บ๐ธ Salesforce
Jais
๐บ๐ธ Cerebras Systems
PeptideBERT
๐บ๐ธ Carnegie Mellon University (CMU)
ShapeMol
๐บ๐ธ Ohio State University
Code Llama-13B
๐บ๐ธ Meta AI
Code Llama-34B
๐บ๐ธ Meta AI
Code Llama-7B
๐บ๐ธ Meta AI
Platypus-70B
๐บ๐ธ Boston University
Japanese StableLM Base Alpha 7B
๐บ๐ธ Stability AI
Claude Instant
๐บ๐ธ Anthropic
StableLM-Base-Alpha-7B
๐บ๐ธ Stability AI
OpenFlamingo
๐บ๐ธ University of Washington
Vicuna-13B-v1.5
๐บ๐ธ Large Model Systems Organization
Vicuna-7B-v1.5
๐บ๐ธ Large Model Systems Organization
WizardLM 13B v1.2
๐บ๐ธ Microsoft
RFdiffusion
๐บ๐ธ University of Washington
Stable Beluga 1
๐บ๐ธ Stability AI
Stable Beluga 2
๐บ๐ธ Stability AI
GPT3-2.7B (FlashAttention-2)
๐บ๐ธ Stanford University
Llama 2-13B
๐บ๐ธ Meta AI
Llama 2-34B
๐บ๐ธ Meta AI
Llama 2-70B
๐บ๐ธ Meta AI
Llama 2-7B
๐บ๐ธ Meta AI
RetNet
๐บ๐ธ Microsoft Research
CryoChains
๐บ๐ธ University of California Santa Barbara (UCSB)
Med-PaLM
๐บ๐ธ Google Research
Claude 2
๐บ๐ธ Anthropic
CodeGen2.5
๐บ๐ธ Salesforce
NEC LLM 13B
๐บ๐ธ NEC Laboratories
LongNet
๐บ๐ธ Microsoft
Stable Diffusion XL (SDXL)
๐บ๐ธ Stability AI
Multilingual-E5-large
๐บ๐ธ Microsoft
HyenaDNA
๐บ๐ธ Stanford University
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.