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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.
Qwen1.5-32B
๐จ๐ณ Qwen
Qwen1.5-14B
๐จ๐ณ Qwen
Qwen1.5-72B
๐จ๐ณ Qwen
Qwen1.5-7B
๐จ๐ณ Qwen
BGE-M3 Embedding
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Baichuan3
๐จ๐ณ Baichuan
Yan
๐จ๐ณ Rock AI / Shanghai Stonehill Technology
DeepSeek Coder 1.3B
๐จ๐ณ DeepSeek
DeepSeek Coder 33B
๐จ๐ณ DeepSeek
DeepSeek Coder 6.7B
๐จ๐ณ DeepSeek
Orion Star (็ๆทๆ็ฉบๅคงๆจกๅ)
๐จ๐ณ "Beijing OrionStar Technology Co.
ESM-NBR
๐จ๐ณ Hunan University
GLM-4
๐จ๐ณ Zhipu AI
GLM-4 (0116)
๐จ๐ณ Zhipu AI
Skiff LLM (ไธๅถ่ฝป่ๅคง่ฏญ่จๆจกๅ)
๐จ๐ณ "Shiyin Intelligent Technology Co.
OmniNA
๐จ๐ณ Tianjin Medical University
InternLM2-20B
๐จ๐ณ Shanghai AI Lab
DeepSeekMoE-16B
๐จ๐ณ DeepSeek
Magic LLM (้ญๆณๅคงๆจกๅ)
๐จ๐ณ Shenzhen Honor Software Technology
FABind
๐จ๐ณ Renmin University of China
DeepSeek LLM 67B
๐จ๐ณ DeepSeek
DeepSeek LLM 7B
๐จ๐ณ DeepSeek
DeepSeek-LLM-1.3b-base
๐จ๐ณ DeepSeek
CLAPE-DB
๐จ๐ณ Tsinghua University
Kimi Explorer
๐จ๐ณ Moonshot
CoRe
๐จ๐ณ Tsinghua University
Mengzi-Code-6.7B
๐จ๐ณ Langboat
MengziGPT-General-13B
๐จ๐ณ Langboat
Fulu Gua (็ฆ็ฆ็)
๐จ๐ณ ByteDance
YaYi 2.0
๐จ๐ณ Yayi (Wenge)
MBP
๐จ๐ณ University of Science and Technology of China (USTC)
XVERSE-65B-2
๐จ๐ณ XVERSE Technology
Qwen-72B
๐จ๐ณ Qwen
Yuan 2.0
๐จ๐ณ Inspur
Belle VL
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
Infinity (ๆ ๆถฏ)
๐จ๐ณ Transwarp Technology
AndesGPT
๐จ๐ณ Oppo Mobile Telecommunications
Qwen-Audio-Chat
๐จ๐ณ Qwen
HGRN 1B (WT 103)
๐จ๐ณ Shanghai AI Lab
RoFormer
๐จ๐ณ Zhuiyi Technology
RNA-MSM
๐จ๐ณ Peking University
XVERSE-13B-2
๐จ๐ณ XVERSE Technology
Sequence Monkey (ๅบๅ็ดๅญ)
๐จ๐ณ Mobvoi
ZhihaiTu AI (็ฅๆตทๅพ)
๐จ๐ณ Beijing Zhizhe Tianxia Technology
BlueLM 130B
๐จ๐ณ vivo AI lab
BlueLM 175B
๐จ๐ณ vivo AI lab
BlueLM 70B
๐จ๐ณ vivo AI lab
DeepSA
๐จ๐ณ ShanghaiTech University
Yi 6B
๐จ๐ณ 01.AI
Yi-34B
๐จ๐ณ 01.AI
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
BlueLM 7B
๐จ๐ณ vivo AI lab
Tongyi Qianwen 2.0
๐จ๐ณ Alibaba-NLP
Skywork-13B
๐จ๐ณ Kunlun Inc.
Spec-Drafter
๐จ๐ณ Peking University
Spark 3.0
๐จ๐ณ iFlytek
CausalLM 14B
๐จ๐ณ CausalLM
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.