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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.
PepMLM
๐บ๐ธ Duke University
Qwen2-Math-1.5B
๐จ๐ณ Qwen
Qwen2-Math-72B
๐จ๐ณ Qwen
Qwen2-Math-7B
๐จ๐ณ Qwen
Tencent Search LLM (่ พ่ฎฏๆ็ดขๅคงๆจกๅ)
๐จ๐ณ Tencent
EXAONE 3.0
๐ฐ๐ท LG AI Research
Jais-70B
๐ฆ๐ช G42
EPInformer
๐บ๐ธ The University of Hong Kong
Flux.1 [dev]
๐ฉ๐ช Black Forest Labs
Flux.1 [pro]
๐ฉ๐ช Black Forest Labs
InternLM2.5
๐จ๐ณ Shanghai AI Lab
Llama SEA-LION V2 8B
๐ธ๐ฌ AI Singapore
Midjourney V6.1
๐บ๐ธ Midjourney
AFM-on-device
๐บ๐ธ Apple
AFM-server
๐บ๐ธ Apple
RNACG
๐จ๐ณ Tsinghua University
ProRNA3D-Single
๐บ๐ธ Virginia Tech (Virginia Polytechnic Institute and State University)
SaulLM-large
๐บ๐ธ Equall.ai
AlphaGeometry 2
๐บ๐ธ Google DeepMind
AlphaProof
๐บ๐ธ Google DeepMind
SearchGPT
๐บ๐ธ OpenAI
Mistral Large 2
๐ซ๐ท Mistral AI
Palmyra Fin
๐บ๐ธ Writer
Palmyra Med
๐บ๐ธ Writer
PrePR-CT
๐บ๐ธ King Abdullah University of Science and Technology (KAUST)
CarrotAI (CarrotAIๅคงๆจกๅ)
๐จ๐ณ "Jiangsu Huizhi Intelligent Digital Technology Co.
Llama 3.1-405B
๐บ๐ธ Meta AI
Llama 3.1-70B
๐บ๐ธ Meta AI
Llama 3.1-8B
๐บ๐ธ Meta AI
OutfitAnyone
๐จ๐ณ Alibaba
PepPrCLIP
๐บ๐ธ Duke University
DCLM 7B
๐บ๐ธ Apple
Zhiwei (็ฅๅพฎๅคงๆจกๅ)
๐จ๐ณ Beijing Weimeng Chuangke Network Technology
Athene-70B
๐บ๐ธ Nexusflow
Beiruan (ๅ่ฝฏๅคงๆจกๅ)
๐จ๐ณ "Beijing Beida Software Engineering Co.
ChatLing (็ต็ๅคงๆจกๅ)
๐จ๐ณ Beijing 58 Information Technology
GPT-4o mini
๐บ๐ธ OpenAI
Mistral NeMo
๐ซ๐ท Mistral AI
Codestral Mamba
๐ซ๐ท Mistral AI
Cygnet
๐บ๐ธ Gray Swan
DeepL LLM
๐ฉ๐ช DeepL
Mathstral
๐ซ๐ท Mistral AI
Nebula (ๆไบๅคงๆจกๅ)
๐จ๐ณ ZTE
SmolLM-1.7B
Unknown
MP4
๐บ๐ธ 310.ai
OmniGenome
๐ฌ๐ง University of Exeter
PARM
๐ณ๐ฑ Oncode Institute
Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage
๐จ๐ณ Sun Yat-sen University
HelixProtX
๐จ๐ณ Baidu
MAP-Neo
๐บ๐ธ University of Waterloo
OpenDiLoCo 1.1B
๐บ๐ธ Prime Intellect
OpenDiLoCo 150M
๐บ๐ธ Prime Intellect
Precious3GPT
๐บ๐ธ Insilico Medicine AI
Modello Italia 9B
๐ฎ๐น iGenius
DualNetGO
๐บ๐ธ Hong Kong University of Science and Technology (HKUST)
Smaug-34B
๐บ๐ธ Abacus AI
Smaug-72B
๐บ๐ธ Abacus AI
Igea 3B
๐ฎ๐น University of Pavia
Llama-SEA-LION-v2-8B-IT
๐ธ๐ฌ AI Singapore
Qwen2 1.5B ITA
๐ฎ๐น DeepMount00
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.