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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 — GPT, Claude, Gemini, Llama, Mistral, Qwen and 400+ more — with parameter counts, context windows, benchmark scores and provider pricing.
Ring-mini-linear-2.0
🇨🇳 Ant Group
BAPO 32B
🇨🇳 Fudan University
Odyssey 1.2B
🇺🇸 Anthrogen
Odyssey 102B
🇺🇸 Anthrogen
Odyssey 12B
🇺🇸 Anthrogen
Claude Haiku 4.5
🇺🇸 Anthropic
Llama 4 Scout + ScaleRL
🇺🇸 Meta AI
Hunyuan Translation
🇨🇳 Tencent
Velvet 25B
🇮🇹 Almawave
MAI-Image-1
🇺🇸 Microsoft
C2S-Scale
🇺🇸 Google Research
Ling-1T
🇨🇳 Ant Group
Ring-1T
🇨🇳 Ant Group
Grok Imagine
🇺🇸 xAI
Jamba Reasoning 3B
🇮🇱 AI21 Labs
Gemini 2.5 Computer Use
Tiny Recursive Model (TRM-Att)
🇰🇷 Samsung SAIT AI Lab
Granite 4.0
🇺🇸 IBM
Granite-4.0-H-Micro
🇺🇸 IBM
Granite-4.0-H-Small
🇺🇸 IBM
Granite-4.0-H-Tiny
🇺🇸 IBM
GLM 4.6
🇨🇳 Zhipu AI
Claude Sonnet 4.5
🇺🇸 Anthropic
DeepSeek-V3.2-Exp
🇨🇳 DeepSeek
MinerU2.5
🇨🇳 Shanghai AI Lab
Seedream 4.0
🇨🇳 ByteDance
Gemini 2.5 Flash (Sep 2025)
🇺🇸 Google DeepMind
Gemini 2.5 Flash-Lite (Sep 2024)
🇺🇸 Google DeepMind
GigaEmbeddings
🇷🇺 Sber
SimpleFold
🇺🇸 Apple
DeepSeek-V3.1-Terminus
🇨🇳 DeepSeek
Qwen3-LiveTranslate
🇨🇳 Alibaba
Grok 4 Fast
🇺🇸 xAI
Magistral Medium 1.2
🇫🇷 Mistral AI
Magistral Small 1.2
🇫🇷 Mistral AI
Qwen3-GNR-it 14B
🇮🇹 Fondazione Bruno Kessler
AgentFounder-30B
🇨🇳 Alibaba
GPT‑5-Codex
🇺🇸 OpenAI
Ling-flash-base-2.0-20T
🇨🇳 Ant Group
Ling-mini-base-2.0-20T
🇨🇳 Ant Group
Qwen3-Next-80B-A3B
🇨🇳 Qwen
K2 Think
🇦🇪 Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Signal Processing Transformer
🇯🇵 Softbank
EmbeddingGemma
🇺🇸 Google DeepMind
Qwen3-Max
🇨🇳 Qwen
Apertus 70B
🇨🇭 ETH Zurich
Apertus 8B
🇨🇭 ETH Zurich
ANITA-NEXT 20B
🇮🇹 University of Bari
Hunyuan-MT (open-source)
🇨🇳 Tencent
LongCat-Flash
🇨🇳 Meituan Inc
Command A Translate
🇨🇦 Cohere
Grok Code Fast 1
🇺🇸 xAI
Gemini 2.5 Flash Image (Nano Banana)
YandexGPT 5.1 Pro
🇷🇺 Yandex
Hunyuan T1
🇨🇳 Tencent
Cohere Command A Reasoning
🇨🇦 Cohere
Command A Reasoning
🇨🇦 Cohere
DeepSeek-V3.1
🇨🇳 DeepSeek
Seed-OSS-36B-Base
🇨🇳 ByteDance
Teuken 7B
🇩🇪 OpenGPT-X
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.