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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.
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
Gemini 2.0 Flash-Lite (Feb 2024)
๐บ๐ธ Google DeepMind
OLMo-1B
๐บ๐ธ Allen Institute for AI
OLMo-7B
๐บ๐ธ Allen Institute for AI
Code Llama-70B
๐บ๐ธ Meta AI
text-embedding-3-large
๐บ๐ธ OpenAI
text-embedding-3-small
๐บ๐ธ OpenAI
voyage-code-2
๐บ๐ธ Voyage AI
StableLM-2-1.6B
๐บ๐ธ Stability AI
AlphaGeometry
๐บ๐ธ Google DeepMind
Stable Code 3B
๐บ๐ธ Stability AI
Improved motif-scaffolding with SE(3) flow matching
๐บ๐ธ University of Oxford
babbage-002
๐บ๐ธ OpenAI
PLLaMa
๐บ๐ธ University of California Santa Barbara (UCSB)
Nous-Hermes-2-Yi-34B
๐บ๐ธ Nous Research
GQA-8-XXL
๐บ๐ธ Google Research
FunSearch
๐บ๐ธ Google DeepMind
Imagen 2
๐บ๐ธ Google DeepMind
MedLM
๐บ๐ธ Google Cloud
Phi-2
๐บ๐ธ Microsoft
Llama Guard
๐บ๐ธ Meta AI
StableLM - Zephyr 3B
๐บ๐ธ Stability AI
NexusRaven-V2
๐บ๐ธ Nexusflow
Baize-v2-13B (็ฝๆณฝ)
๐บ๐ธ University of California San Diego
Playground v2
๐บ๐ธ Playground
Mamba-2.8B
๐บ๐ธ Carnegie Mellon University (CMU)
NASA SMD
๐บ๐ธ NASA
SeaLLM-7B-v2
๐บ๐ธ Alibaba DAMO Academy
SeaLLM-7B-v2.5
๐บ๐ธ Alibaba DAMO Academy
Granite 13B
๐บ๐ธ IBM
Amazon Titan Text Express
๐บ๐ธ Amazon
Amazon Titan Text Lite
๐บ๐ธ Amazon
GNoME for crystal discovery
๐บ๐ธ Google DeepMind
PPLX-70B-Online
๐บ๐ธ Perplexity
SD-Turbo
๐บ๐ธ Stability AI
StripedHyena-Hessian-7B
๐บ๐ธ Together
ControlNet (SDv2)
๐บ๐ธ Stability AI
Stable Video Diffusion
๐บ๐ธ Stability AI
Starling-LM-7B-alpha
๐บ๐ธ University of California (UC) Berkeley
Inflection-2
๐บ๐ธ Inflection AI
Claude 2.1
๐บ๐ธ Anthropic
Orca 2-13B
๐บ๐ธ Microsoft Research
Tulu V2 DPO 70B
๐บ๐ธ Allen Institute for AI
Mistral 7B + OVM
๐บ๐ธ Chinese University of Hong Kong (CUHK)
Nemotron-3-8B
๐บ๐ธ NVIDIA
GraphCast
๐บ๐ธ Google DeepMind
Intel Aurora 1T
๐บ๐ธ Intel
Volcano 13B
๐บ๐ธ Korea University
Stable Diffusion 1.6
๐บ๐ธ Stability AI
Jais-30b (phase 1)
๐บ๐ธ Cerebras Systems
Prithvi-100M
๐บ๐ธ IBM
Consistency Decoder
๐บ๐ธ OpenAI
Grok-0
๐บ๐ธ xAI
Grok-1
๐บ๐ธ xAI
YaRN (Llama 2 13B)
๐บ๐ธ Nous Research
YaRN (Llama 2 70B)
๐บ๐ธ Nous Research
CODEFUSION (Python)
๐บ๐ธ Microsoft
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.