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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.
babbage-002
๐บ๐ธ OpenAI
CLAPE-DB
๐จ๐ณ Tsinghua University
PLLaMa
๐บ๐ธ University of California Santa Barbara (UCSB)
Kimi Explorer
๐จ๐ณ Moonshot
CoRe
๐จ๐ณ Tsinghua University
Qarasu-14B
๐ฏ๐ต Lightblue
Mengzi-Code-6.7B
๐จ๐ณ Langboat
MengziGPT-General-13B
๐จ๐ณ Langboat
Elyza
๐ฏ๐ต Elyza
Nous-Hermes-2-Yi-34B
๐บ๐ธ Nous Research
GQA-8-XXL
๐บ๐ธ Google Research
Solar-10.7B (Solar Mini)
๐ฐ๐ท Upstage
Fulu Gua (็ฆ็ฆ็)
๐จ๐ณ ByteDance
YaYi 2.0
๐จ๐ณ Yayi (Wenge)
nekomata-14b
๐ฏ๐ต rinna
HiFi - NN
๐ฌ๐ง Basecamp Research
Konan LLM 41B
๐ฐ๐ท Konan Technology
Lyra-Fr 10B
๐ซ๐ท LightOn
FunSearch
๐บ๐ธ Google DeepMind
Poro 34B
High-Performance Language Technologies (HPLT)
GigaChat Pro
๐ท๐บ Sber
Imagen 2
๐บ๐ธ Google DeepMind
MedLM
๐บ๐ธ Google Cloud
Phi-2
๐บ๐ธ Microsoft
Amber
๐ฆ๐ช Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
CRYSTALCODER
๐ฆ๐ช Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
MBP
๐จ๐ณ University of Science and Technology of China (USTC)
Mistral Medium
๐ซ๐ท Mistral AI
Mixtral 8x7B
๐ซ๐ท Mistral AI
ruDalle: Kandinsky 3.0
๐ท๐บ Sber
ruDalle: Kandinsky 3.1
๐ท๐บ Sber
XVERSE-65B-2
๐จ๐ณ XVERSE Technology
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
LLaMAntino-2
๐ฎ๐น University of Bari
Mamba-2.8B
๐บ๐ธ Carnegie Mellon University (CMU)
NASA SMD
๐บ๐ธ NASA
SEA-LION V1 3B
๐ธ๐ฌ AI Singapore
SEA-LION V1 7B
๐ธ๐ฌ AI Singapore
SeaLLM-7B-v2
๐บ๐ธ Alibaba DAMO Academy
SeaLLM-7B-v2.5
๐บ๐ธ Alibaba DAMO Academy
tsuzumi 7B
๐ฏ๐ต NTT Communication Science Laboratories
Cohere Command Light
๐จ๐ฆ Cohere
Granite 13B
๐บ๐ธ IBM
Qwen-72B
๐จ๐ณ Qwen
Amazon Titan Text Express
๐บ๐ธ Amazon
Amazon Titan Text Lite
๐บ๐ธ Amazon
GNoME for crystal discovery
๐บ๐ธ Google DeepMind
Llama-3-Taiwan-70B
๐น๐ผ National Taiwan University
PPLX-70B-Online
๐บ๐ธ Perplexity
SD-Turbo
๐บ๐ธ Stability AI
Meditron-70B
๐จ๐ญ Ecole Polytechnique Fยดedยดerale de Lausanne (EPFL)
StripedHyena-Hessian-7B
๐บ๐ธ Together
Yuan 2.0
๐จ๐ณ Inspur
ControlNet (SDv2)
๐บ๐ธ Stability AI
Stable Video Diffusion
๐บ๐ธ Stability AI
Starling-LM-7B-alpha
๐บ๐ธ University of California (UC) Berkeley
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.