New: connect Claude & other AIs to GenAIList over MCP โ research the catalog and contribute to the shared knowledge base. Learn how โ
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.
SHIFT-SUV
๐บ๐ธ Luminary Cloud
Cogito 1 series
Unknown
QWQ-Plus
๐จ๐ณ Qwen
T5Gemma (Gemma 9B-9B)
๐บ๐ธ Google DeepMind
TxGemma 27B
๐บ๐ธ Google DeepMind
TxGemma 2B
๐บ๐ธ Google DeepMind
TxGemma 9B
๐บ๐ธ Google DeepMind
Llama-3.1 Nemotron Ultra 253B
๐บ๐ธ NVIDIA
FoundationStereo
๐บ๐ธ NVIDIA
OpenThaiGPT 1.6 / OTG-1.6 (72B)
๐น๐ญ Mahidol University
OpenThaiGPT R1 32b / OTG-R1 (32B)
๐น๐ญ Mahidol University
Phi-4-mini-reasoning
๐บ๐ธ Microsoft
Amazon Nova Act
๐บ๐ธ Amazon
DeepHermes 3 - Mistral 24B
๐บ๐ธ Nous Research
Lingju Lingnao
๐จ๐ณ Guangzhou Lingju Information Technology Co Ltd.
QVQ-Max
๐จ๐ณ Alibaba
Lumina-Image-2.0
๐จ๐ณ Shanghai AI Lab
Ideogram 3.0
๐จ๐ฆ Ideogram
4o Image Generation
๐บ๐ธ OpenAI
DeepSeek-V3-0324
๐จ๐ณ DeepSeek
Gemini 2.5 Pro (Mar 2025)
๐บ๐ธ Google DeepMind
Hunyuan TurboS LongText 128K (20250325)
๐จ๐ณ Tencent
Sonar Reasoning Pro
๐บ๐ธ Perplexity
3DGUT
๐บ๐ธ NVIDIA
HiCEGNN
๐บ๐ธ University of Missouri
Gezhi (ๆ ผ่ดๅคงๆจกๅ)
๐จ๐ณ "Troy Information Technology Co.
Llama Nemotron Nano 8B
๐บ๐ธ NVIDIA
Llama Nemotron Super 49B
๐บ๐ธ NVIDIA
Llama Nemotron Ultra 253B
๐บ๐ธ NVIDIA
Llama-3.1 Nemotron Nano 8B
๐บ๐ธ NVIDIA
Llama-3.3 Nemotron Super 49B v1
๐บ๐ธ NVIDIA
Mistral Small 3.1
๐ซ๐ท Mistral AI
ERNIE x1 (ๆๅฟๅคงๆจกๅX1)
๐จ๐ณ Baidu
EXAONE Deep 2.4B
๐ฐ๐ท LG AI Research
EXAONE Deep 32B
๐ฐ๐ท LG AI Research
EXAONE Deep 7.8B
๐ฐ๐ท LG AI Research
EXAONE 3.5-R 2.4B
๐ฐ๐ท LG AI Research
EXAONE 3.5-R 32B
๐ฐ๐ท LG AI Research
EXAONE 3.5-R 7.8B
๐ฐ๐ท LG AI Research
Cohere Command A
๐จ๐ฆ Cohere
Command A
๐จ๐ฆ Cohere
GigaChat 2 Lite
๐ท๐บ Sber
GigaChat 2 MAX
๐ท๐บ Sber
GigaChat 2 Pro
๐ท๐บ Sber
Meissonic
๐จ๐ณ National University of Singapore
OLMo 2 32B
๐บ๐ธ Allen Institute for AI
Gemma 3 12B
๐บ๐ธ Google DeepMind
Gemma 3 1B
๐บ๐ธ Google DeepMind
Gemma 3 27B
๐บ๐ธ Google DeepMind
Gemma 3 4B
๐บ๐ธ Google DeepMind
Hunyuan-TurboS
๐จ๐ณ Tencent
FoxBrain
๐น๐ผ Foxconn
Ling-Plus ("Bailing")
๐จ๐ณ Ant Group
Ling-lite-1.5 ("Bailing")
๐จ๐ณ Ant Group
Seedream 2.0
๐จ๐ณ ByteDance
Jamba 1.6
๐ฎ๐ฑ AI21 Labs
Jamba 1.6 Large
๐ฎ๐ฑ AI21 Labs
Jamba 1.6 Mini
๐ฎ๐ฑ AI21 Labs
QwQ-32B
๐จ๐ณ Qwen
Difix3D+
๐บ๐ธ NVIDIA
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.