// MODEL CATEGORY

Large language models (LLMs)

Browse every major large language model in one place. This LLM list tracks frontier and open-source foundation models — GPT, Claude, Gemini, Llama, Mistral, Qwen and 400+ more — with parameter counts, context windows, benchmark scores and provider pricing.

Year:

Availability:

Country:

2,361 models

PaLM-2 Otter

🇺🇸 Google

Language Proprietary

PaLM-2 Unicorn

🇺🇸 Google

Language Proprietary

Spark

🇨🇳 iFlytek

Language Proprietary

MPT-7B

🇺🇸 MosaicML

Language Open (Restricted)

CodeGen2

🇺🇸 Salesforce

Language Open (Restricted)

NVIDIA

Perfusion

🇺🇸 NVIDIA

Language Proprietary

OpenLLaMA-13B

🇺🇸 OpenLM Research

Language Open (Restricted)

MosaicML Diffusion

🇺🇸 Databricks

Language Proprietary

Shishuo

🇨🇳 4Paradigm

Language Proprietary

Falcon-7B

🇦🇪 Technology Innovation Institute

Language Open (Restricted)

GigaChat

🇷🇺 Sber

Language Proprietary

Microsoft

WizardLM 70B

🇺🇸 Microsoft

Language Open (Restricted)

Microsoft

WizardLM-7B

🇺🇸 Microsoft

Language Open Weights

ruGPT-3.5 13B

🇷🇺 Sber

Language Open (Restricted)

AlphaLink

🇬🇧 Technische Universitat Berlin

Language Open (Restricted)

MOSS-Moon-003

🇨🇳 Fudan University

Language Open (Restricted)

Anthropic

Claude 1.3

🇺🇸 Anthropic

Language Proprietary

BELLE-LLaMA-EXT-7B

🇨🇳 KE Holdings Inc. (“Beike”)

Language Open Weights

HuaTuo

🇨🇳 Harbin Institute of Technology

Language Open Weights

Anthropic

Anthropic LM 52B

🇺🇸 Anthropic

Language Proprietary

Dolly 2.0-12b

🇺🇸 Databricks

Language Open (Restricted)

SenseChat

🇨🇳 SenseTime

Language Proprietary

Incoder-6.7B

🇺🇸 Facebook AI Research

Language Open Weights

DiffDock-PP

🇺🇸 Technical University of Munich

Language Proprietary

EvoMIL

🇬🇧 University of Glasgow

Language Proprietary

gLM

🇺🇸 Harvard University

Language Open Weights

Cerebras-GPT-13B

🇺🇸 Cerebras Systems

Language Open (Restricted)

BELLE-7B-0.2M

🇨🇳 KE Holdings Inc. (“Beike”)

Language Open (Restricted)

BELLE-7B-1M

🇨🇳 KE Holdings Inc. (“Beike”)

Language Open (Restricted)

BELLE-7B-2M

🇨🇳 KE Holdings Inc. (“Beike”)

Language Open (Restricted)

EigenFold

🇺🇸 Massachusetts Institute of Technology (MIT)

Language Open (Restricted)

MahLool

🇺🇸 University of Rochester

Language Proprietary

Pythia-1.4b

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-12b

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-160m

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-1b

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-2.8b

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-410m

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-6.9b

🇺🇸 EleutherAI

Language Open (Restricted)

Pythia-70m

🇺🇸 EleutherAI

Language Open (Restricted)

Sapienza NLP

Camoscio

🇮🇹 Sapienza NLP

Language Open Source

STEPS

🇺🇸 McGill University

Language Proprietary

BloombergGPT

🇺🇸 Bloomberg

Language Proprietary

Vicuna-13B v0

🇺🇸 Large Model Systems Organization

Language Open (Restricted)

Vicuna-7B v0

🇺🇸 Large Model Systems Organization

Language Open (Restricted)

ERNIE-ViLG 2.0

🇨🇳 Baidu

Language Proprietary

BELLE-7B-0.6M

🇨🇳 KE Holdings Inc. (“Beike”)

Language Open (Restricted)

CPM-Bee

🇨🇳 Tsinghua University

Language Open (Restricted)

minChatGPT

🇺🇸 Stanford University

Language Open (Restricted)

Lightweight Fine-tuning a Pretrained Protein Language Model for Protein Secondary

🇨🇳 Henan University

Language Proprietary

Firefly

🇺🇸 Adobe

Language Proprietary

LightOn Mini

🇫🇷 LightOn

Language Proprietary

Sparse Wide GPT-3 Small

🇺🇸 Cerebras Systems

Language Proprietary

PanGu-Σ

🇨🇳 Huawei Noah's Ark Lab

Language Proprietary

Falcon-40B

🇦🇪 Technology Innovation Institute

Language Open (Restricted)

LEP-AD

🇺🇸 King Abdullah University of Science and Technology (KAUST)

Language Proprietary

RIO

🇨🇳 West Lake Xinchen / Xinchen AI / 西湖心辰（杭州）科技有限公司

Language Proprietary

Anthropic

Claude

🇺🇸 Anthropic

Language Proprietary

Alpaca

🇺🇸 Stanford University

Language Open Weights

Pythia-Chat-Base-7B-v0.16

🇺🇸 Together

Language Open (Restricted)

About Large language models (LLMs)

Large language models (LLMs) are the foundation of modern generative AI — 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 — 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 — 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.