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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.
Domyn Small
🇮🇹 Domyn
FastwebMIIA 7B (2026)
🇮🇹 Fastweb
nesso 0.4B Agentic
🇮🇹 mii-llm
nesso 0.4B Instruct
🇮🇹 mii-llm
nesso 4B
🇮🇹 mii-llm
Lara Think
🇮🇹 Translated
Velvet 25B
🇮🇹 Almawave
Qwen3-GNR-it 14B
🇮🇹 Fondazione Bruno Kessler
ANITA-NEXT 20B
🇮🇹 University of Bari
Lara V2
🇮🇹 Translated
Domyn Large
🇮🇹 Domyn
EVE-Instruct 24B
🇮🇹 Pi School
FastwebMIIA 7B
🇮🇹 Fastweb
Vitruvian-1
🇮🇹 ASC27
Velvet 2B
🇮🇹 Almawave
EngGPT2 16B-A3B
🇮🇹 Engineering Ingegneria Informatica
Velvet 14B
🇮🇹 Almawave
Colosseum 355B
🇮🇹 iGenius
Zagreus 0.4B
🇮🇹 mii-llm
Gemma 2 9B Neogenesis ITA
🇮🇹 anakin87
Lara V1
🇮🇹 Translated
Minerva 7B
🇮🇹 Sapienza NLP
Phi-3.5-mini ITA
🇮🇹 anakin87
DDGemb
🇮🇹 University of Bologna
P-LLama3
🇮🇹 University of Siena
P-Llama2
🇮🇹 University of Siena
P-Mistral
🇮🇹 University of Siena
P-gemma
🇮🇹 University of Siena
Modello Italia 9B
🇮🇹 iGenius
Igea 3B
🇮🇹 University of Pavia
Qwen2 1.5B ITA
🇮🇹 DeepMount00
DanteLLM 7B
🇮🇹 RSTLess Research
LLaMAntino-3 ANITA 8B
🇮🇹 University of Bari
Llama-3 8B ITA
🇮🇹 DeepMount00
Minerva 1B
🇮🇹 Sapienza NLP
Minerva 3B
🇮🇹 Sapienza NLP
Volare
🇮🇹 Moxoff
Azzurro
🇮🇹 Moxoff
Maestrale Chat v0.4
🇮🇹 mii-llm
Mistral ITA 7B
🇮🇹 DeepMount00
Zefiro
🇮🇹 mii-llm
LLaMAntino-2
🇮🇹 University of Bari
Cerbero 7B
🇮🇹 University of Pisa
Hermes 7B ITA
🇮🇹 RAI
Fauno
🇮🇹 Sapienza NLP
Camoscio
🇮🇹 Sapienza NLP
BART-IT
🇮🇹 Politecnico di Torino
IT5 Base
🇮🇹 gsarti
GePpeTto
🇮🇹 ILC-CNR
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.