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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.
Minerva 1B
๐ฎ๐น Sapienza NLP
Minerva 3B
๐ฎ๐น Sapienza NLP
TW3-JRGL-v2
๐ซ๐ท French Engineering School ECE
TeleChat-12B
๐จ๐ณ China Telecom
TeleChat-3B
๐จ๐ณ China Telecom
TeleChat-7B
๐จ๐ณ China Telecom
Volare
๐ฎ๐น Moxoff
ReALM
๐บ๐ธ Apple
Grok-1.5
๐บ๐ธ xAI
Jamba
๐ฎ๐ฑ AI21 Labs
YandexGPT 3
๐ท๐บ Yandex
DBRX
๐บ๐ธ Databricks
MultiVerse 70B
๐ท๐บ MTS
BindDM
๐บ๐ธ Peng Cheng Laboratory
CrossBind
๐จ๐ณ Shanghai AI Lab
ProstT5
๐บ๐ธ Technical University of Munich
Xuanji Yuheng (็็็่กก)
๐จ๐ณ Zhuoshi Technology
JetFire (GPT2-LARGE)
๐จ๐ณ Tsinghua University
MiniGPT4 + LRV-Instruction
๐บ๐ธ University of Maryland
ERNIE-RNA
๐บ๐ธ Microsoft Research
PocketVec
๐ช๐ธ Barcelona Institute of Science and Technology
Quiet-STaR
๐บ๐ธ Stanford University
Recraft V2 (Recraft 20B)
๐ฌ๐ง Recraft
Command R
๐จ๐ฆ Cohere
Dream Home LLM (่ดๅฃณๆขฆๆณๅฎถๅคงๆจกๅ)
๐จ๐ณ KE Holdings Inc. (โBeikeโ)
Inflection-2.5
๐บ๐ธ Inflection AI
BaseFold
๐ฌ๐ง Basecamp Research
Aramco Metabrain AI
๐ธ๐ฆ Saudi Aramco
Claude 3 Haiku
๐บ๐ธ Anthropic
Azzurro
๐ฎ๐น Moxoff
Maestrale Chat v0.4
๐ฎ๐น mii-llm
Mistral ITA 7B
๐ฎ๐น DeepMount00
Step-1X
๐จ๐ณ StepFun
Step-2
๐จ๐ณ StepFun
Griffin
๐บ๐ธ Google DeepMind
Hawk
๐บ๐ธ Google DeepMind
PTM-Mamba
๐บ๐ธ Duke University
RiNALMo
๐ธ๐ฌ University of Zagreb
StarCoder 2 15B
๐บ๐ธ Hugging Face
StarCoder 2 3B
๐บ๐ธ Hugging Face
StarCoder 2 7B
๐บ๐ธ Hugging Face
Ideogram 1.0
๐จ๐ฆ Ideogram
Protllm
๐จ๐ณ Beijing Institute of Technology
BitNet b1.58
๐จ๐ณ University of Chinese Academy of Sciences
Evo
๐บ๐ธ Stanford University
Nemotron-4 15B
๐บ๐ธ NVIDIA
Playground v2.5
๐บ๐ธ Playground
DecompDiff
๐บ๐ธ University of Illinois Urbana-Champaign (UIUC)
Mistral Large
๐ซ๐ท Mistral AI
ProLLaMA
๐จ๐ณ Peking University
Gemma 1.1 7B Instruct
๐บ๐ธ Google
SDXL-Lightning
๐จ๐ณ ByteDance
MegaScale (175B)
๐จ๐ณ ByteDance
MegaScale (530B)
๐จ๐ณ ByteDance
MegaScale (Production)
๐จ๐ณ ByteDance
Stable Diffusion 3
๐บ๐ธ Stability AI
Gemma 2B
๐บ๐ธ Google DeepMind
Gemma 7B
๐บ๐ธ Google DeepMind
PepGLAD
๐จ๐ณ Tsinghua University
Re-Dock
๐บ๐ธ Zhejiang University (ZJU)
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.