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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.
KwaiYiiMath
๐จ๐ณ Kuaishou Technology
Aquila2 34B
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
CodeFuse-13B
๐จ๐ณ Ant Group
PIXART-ฮฑ
๐จ๐ณ Huawei Noah's Ark Lab
Qwen-14B
๐จ๐ณ Qwen
Qwen-7B
๐จ๐ณ Qwen
Baichuan 2-7B
๐จ๐ณ Baichuan
OpenChat-13b
๐จ๐ณ Tsinghua University
bge-reranker-large
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
FLM-101B
๐จ๐ณ Chinese Academy of Sciences
Hunyuan
๐จ๐ณ Tencent
Baichuan2-13B
๐จ๐ณ Baichuan
TigerBot-70B
๐จ๐ณ Tigerobo
ABAB
๐จ๐ณ MiniMax
Mengzi-Fin-13B
๐จ๐ณ Langboat
Mengzi-Fin-7B
๐จ๐ณ Langboat
MengziGPT-General-40B
๐จ๐ณ Langboat
Mengzi-Lite
๐จ๐ณ Langboat
MathGPT
๐จ๐ณ TAL Education Group (Xueersi)
Dou Bao
๐จ๐ณ ByteDance
KwaiYii 13B
๐จ๐ณ Kuaishou Technology
Baichuan2-53B
๐จ๐ณ Baichuan
GGNN
๐จ๐ณ Westlake University
YuLan-Chat-2 (13B)
๐จ๐ณ Renmin University of China
JIANG
๐จ๐ณ K.D. Feddersen (KDF)
Zi Yue
๐จ๐ณ NetEase
Zi Yue 2.0
๐จ๐ณ NetEase
BELLE-Llama2-13B-chat-0.4M
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
LM-Design
๐จ๐ณ ByteDance
YAYI-13B-Llama2
๐จ๐ณ Yayi (Wenge)
YAYI-7B-Llama2
๐จ๐ณ Yayi (Wenge)
BaiLing
๐จ๐ณ Ant Group
ChatRhino
๐จ๐ณ JD.com
Uni-RNA-L-24
๐จ๐ณ DP Technology
Uni-RNA-L12
๐จ๐ณ DP Technology
Uni-RNA-L16
๐จ๐ณ DP Technology
Uni-RNA-L8
๐จ๐ณ DP Technology
Baichuan 1-13B
๐จ๐ณ Baichuan
TeleChat
๐จ๐ณ China Telecom
InternLM
๐จ๐ณ Shanghai AI Lab
xTrimoPGLM -100B
๐จ๐ณ Tsinghua University
Pangu-Weather
๐จ๐ณ Huawei
ERNIE 3.5
๐จ๐ณ Baidu
Llama-2-Chinese 13B
๐จ๐ณ FlagAlpha
BELLE-LLaMA-13B-2M-enc
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
BELLE-LLaMA-7B-0.6M-enc
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
BELLE-LLaMA-7B-2M-enc
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
Wu Dao Aquila-33B
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Wu Dao Aquila-7B
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Baichuan1-7B
๐จ๐ณ Baichuan
MASSA
๐จ๐ณ Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems
UniDiffuser (ๅคๆจกๆๅคงๆจกๅ)
๐จ๐ณ ShengShu
HuatuoGPT
๐จ๐ณ Shenzhen Research Institue of Big Data
Shanhai
๐จ๐ณ Unisound
Goat-7B
๐จ๐ณ National University of Singapore
ProlificDreamer
๐จ๐ณ Tsinghua University
XuanYuan 2.0
๐จ๐ณ Du Xiaoman
CongRong (ไปๅฎนๅคงๆจกๅ)
๐จ๐ณ CloudWalk Technology
WeLM
๐จ๐ณ WeChat AI
Spark
๐จ๐ณ iFlytek
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.