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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.
Kimi Dev 72b
🇨🇳 Moonshot
Gemini 2.5 Flash-Lite (Jun 2024)
🇺🇸 Google DeepMind
Mistral Small 3.2
🇫🇷 Mistral AI
MiniMax-M1-40k
🇨🇳 MiniMax
MiniMax-M1-80k
🇨🇳 MiniMax
CollabLLM
🇺🇸 Stanford University
FGN
🇺🇸 Google DeepMind
Cosmos-Predict2-14B-Text2Image
🇺🇸 NVIDIA
Cosmos-Predict2-2B-Text2Image
🇺🇸 NVIDIA
Cosmos-Predict2-2B-Text2Image
🇺🇸 NVIDIA
Devstral Medium
🇫🇷 Mistral AI
Magistral Medium 1.1
🇫🇷 Mistral AI
Magistral Small 1.1
🇫🇷 Mistral AI
MiniCPM-4-8B
🇨🇳 OpenBMB (Open Lab for Big Model Base)
Boltz-2
🇺🇸 Massachusetts Institute of Technology (MIT)
Hunyuan Translation Lite
🇨🇳 Tencent
Claude Gov
🇺🇸 Anthropic
Gemini 2.5 Pro (Jun 2025)
🇺🇸 Google DeepMind
MiMo-7B-Base
🇨🇳 Xiaomi Corp
Qwen3 Embedding
🇨🇳 Qwen
Qwen3 Reranker
🇨🇳 Qwen
ether0
🇺🇸 FutureHouse
Lara V2
🇮🇹 Translated
Domyn Large
🇮🇹 Domyn
EVE-Instruct 24B
🇮🇹 Pi School
Phi-4-mini-flash-reasoning
🇺🇸 Microsoft
FLUX.1 Kontext [dev]
🇩🇪 Black Forest Labs
FLUX.1 Kontext [max]
🇩🇪 Black Forest Labs
FLUX.1 Kontext [pro]
🇩🇪 Black Forest Labs
FastwebMIIA 7B
🇮🇹 Fastweb
Skywork-OR1-32B
🇨🇳 Kunlun Inc.
Codestral Embed
🇫🇷 Mistral AI
DeepSeek-R1 (May 2025)
🇨🇳 DeepSeek
DeepSeek-R1-0528
🇨🇳 DeepSeek
Llama-3.1 Nemotron Nano VL 8B
🇺🇸 NVIDIA
Pangu Pro MoE
🇨🇳 Huawei
SignGemma
DMind-1
Unknown
DataRater test model (1B)
🇺🇸 Google DeepMind
o3 Operator
🇺🇸 OpenAI
Claude 4
🇺🇸 Anthropic
Claude Opus 4
🇺🇸 Anthropic
Claude Sonnet 4
🇺🇸 Anthropic
Reason-ModernColBERT
🇫🇷 LightOn
Devstral Small
🇫🇷 Mistral AI
Falcon-Arabic
🇦🇪 Technology Innovation Institute
Falcon-H1
🇦🇪 Technology Innovation Institute
Gemini 2.5 Flash (May 2025)
🇺🇸 Google DeepMind
Gemma 3n
Imagen 4
Imagen 4 ultra
MedGemma 27B
voyage-3.5
🇺🇸 Voyage AI
Marin 8B
🇺🇸 Marin
SANA 1.5 4.8B
🇺🇸 NVIDIA
Repress
🇨🇦 DeepGenomics
codex-1
🇺🇸 OpenAI
codex-mini
🇺🇸 OpenAI
COLLECTIVE-1
Unknown
II-Medical-8B
🇬🇧 Intelligent Internet
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.