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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.
Belle VL
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
Infinity (ๆ ๆถฏ)
๐จ๐ณ Transwarp Technology
TAIWAN-LLM 13B
๐น๐ผ National Taiwan University
TAIWAN-LLM 7B
๐น๐ผ National Taiwan University
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
AndesGPT
๐จ๐ณ Oppo Mobile Telecommunications
Mistral 7B + OVM
๐บ๐ธ Chinese University of Hong Kong (CUHK)
Mi:dm 7B
๐ฐ๐ท KT
Nemotron-3-8B
๐บ๐ธ NVIDIA
GraphCast
๐บ๐ธ Google DeepMind
Qwen-Audio-Chat
๐จ๐ณ Qwen
Intel Aurora 1T
๐บ๐ธ Intel
Volcano 13B
๐บ๐ธ Korea University
Stable Diffusion 1.6
๐บ๐ธ Stability AI
HGRN 1B (WT 103)
๐จ๐ณ Shanghai AI Lab
Jais-30b (phase 1)
๐บ๐ธ Cerebras Systems
Prithvi-100M
๐บ๐ธ IBM
RoFormer
๐จ๐ณ Zhuiyi Technology
Samsung Gauss Code
๐ฐ๐ท Samsung
Samsung Gauss Image
๐ฐ๐ท Samsung
Samsung Gauss Language
๐ฐ๐ท Samsung
Consistency Decoder
๐บ๐ธ OpenAI
RNA-MSM
๐จ๐ณ Peking University
XVERSE-13B-2
๐จ๐ณ XVERSE Technology
Grok-0
๐บ๐ธ xAI
Grok-1
๐บ๐ธ xAI
Sequence Monkey (ๅบๅ็ดๅญ)
๐จ๐ณ Mobvoi
ZhihaiTu AI (็ฅๆตทๅพ)
๐จ๐ณ Beijing Zhizhe Tianxia Technology
BLUUMI
๐ซ๐ฎ University of Turku
BlueLM 130B
๐จ๐ณ vivo AI lab
BlueLM 175B
๐จ๐ณ vivo AI lab
BlueLM 70B
๐จ๐ณ vivo AI lab
Cohere Embed
๐จ๐ฆ Cohere
DeepSA
๐จ๐ณ ShanghaiTech University
Yi 6B
๐จ๐ณ 01.AI
Yi-34B
๐จ๐ณ 01.AI
Calm2-7B
๐ฏ๐ต CyberAgent
LingoWhale-8B
๐จ๐ณ DeepLang AI
MuggleMath
๐จ๐ณ University of Science and Technology of China (USTC)
Nanbeige-16B
๐จ๐ณ Nanbeige LLM Lab
OpenChat 3.5-7B
๐จ๐ณ Tsinghua University
YaRN (Llama 2 13B)
๐บ๐ธ Nous Research
YaRN (Llama 2 70B)
๐บ๐ธ Nous Research
BlueLM 7B
๐จ๐ณ vivo AI lab
Mi:dm 200B
๐ฐ๐ท KT
Tongyi Qianwen 2.0
๐จ๐ณ Alibaba-NLP
Skywork-13B
๐จ๐ณ Kunlun Inc.
Spec-Drafter
๐จ๐ณ Peking University
CODEFUSION (Python)
๐บ๐ธ Microsoft
DiT-XL/2 + CADS
๐จ๐ญ ETH Zurich
QMoE: compressed SwitchTransformer
๐บ๐ธ Institute of Science and Technology Austria (ISTA)
Zephyr 7B
๐บ๐ธ Hugging Face
Spark 3.0
๐จ๐ณ iFlytek
Stockmark-13B
๐ฏ๐ต Stockmark
CausalLM 14B
๐จ๐ณ CausalLM
DALLยทE 3
๐บ๐ธ OpenAI
KwaiYiiMath
๐จ๐ณ Kuaishou Technology
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.