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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.
Step-1X
๐จ๐ณ StepFun
Step-2
๐จ๐ณ StepFun
Griffin
๐บ๐ธ Google DeepMind
Hawk
๐บ๐ธ Google DeepMind
PTM-Mamba
๐บ๐ธ Duke University
RiNALMo
๐ธ๐ฌ University of Zagreb
StarCoder 2 15B
๐บ๐ธ Hugging Face
StarCoder 2 3B
๐บ๐ธ Hugging Face
StarCoder 2 7B
๐บ๐ธ Hugging Face
Ideogram 1.0
๐จ๐ฆ Ideogram
Protllm
๐จ๐ณ Beijing Institute of Technology
BitNet b1.58
๐จ๐ณ University of Chinese Academy of Sciences
Evo
๐บ๐ธ Stanford University
Nemotron-4 15B
๐บ๐ธ NVIDIA
Playground v2.5
๐บ๐ธ Playground
DecompDiff
๐บ๐ธ University of Illinois Urbana-Champaign (UIUC)
Mistral Large
๐ซ๐ท Mistral AI
ProLLaMA
๐จ๐ณ Peking University
Gemma 1.1 7B Instruct
๐บ๐ธ Google
SDXL-Lightning
๐จ๐ณ ByteDance
MegaScale (175B)
๐จ๐ณ ByteDance
MegaScale (530B)
๐จ๐ณ ByteDance
MegaScale (Production)
๐จ๐ณ ByteDance
Stable Diffusion 3
๐บ๐ธ Stability AI
Gemma 2B
๐บ๐ธ Google DeepMind
Gemma 7B
๐บ๐ธ Google DeepMind
PepGLAD
๐จ๐ณ Tsinghua University
Re-Dock
๐บ๐ธ Zhejiang University (ZJU)
Reinvent 4
๐ฌ๐ง AstraZeneca
Me Llama 13B
๐บ๐ธ Yale School of Medicine
Me Llama 70B
๐บ๐ธ Yale School of Medicine
Gemini 1.5 Pro
๐บ๐ธ Google DeepMind
ProtChatGPT
๐จ๐ณ University of Technology Sydney
KwaiYii 175B
๐จ๐ณ Kuaishou Technology
Aya
๐จ๐ฆ Cohere for AI
PLAPT
๐บ๐ธ Wolfram Research
Stable Cascade
๐บ๐ธ Stability AI
DiscDiff
๐บ๐ธ Imperial College London
Structure-Informed Protein Language Model
๐บ๐ธ Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
CARP
๐บ๐ธ Microsoft Research
CausalLM 34B ฮฒ
๐จ๐ณ CausalLM
Qwen Plus
๐จ๐ณ Qwen
Qwen-Turbo
๐จ๐ณ Qwen
SenseChat 4.0
๐จ๐ณ SenseTime
SenseChat-DataAnalysis V4
๐จ๐ณ SenseTime
SenseChat-Medical V4
๐จ๐ณ SenseTime
SenseMirage V4
๐จ๐ณ SenseTime
DeepSeekMath 7B
๐จ๐ณ DeepSeek
Gemini 2.0 Flash-Lite (Feb 2024)
๐บ๐ธ Google DeepMind
Qwen1.5-32B
๐จ๐ณ Qwen
Qwen1.5-14B
๐จ๐ณ Qwen
Qwen1.5-72B
๐จ๐ณ Qwen
Qwen1.5-7B
๐จ๐ณ Qwen
OLMo-1B
๐บ๐ธ Allen Institute for AI
OLMo-7B
๐บ๐ธ Allen Institute for AI
Zefiro
๐ฎ๐น mii-llm
BGE-M3 Embedding
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Baichuan3
๐จ๐ณ Baichuan
Code Llama-70B
๐บ๐ธ Meta AI
Karakuri LM
๐ฏ๐ต KARAKURI Inc.
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.