Can I Run AI locally?

Meta · 8B · Llama 3.1 Community

Meta's versatile 8B — great quality/speed ratio

Alibaba · 9B · Apache 2.0

Multimodal Qwen 3.5 mid-size

Microsoft · 14B · MIT

Microsoft's reasoning-focused model

OpenAI · 21B · Apache 2.0

OpenAI's open-weight MoE with configurable reasoning

Mistral AI · 24B · Apache 2.0

Multimodal Mistral with vision support

Google · 27B · Gemma

Google's flagship Gemma 3 model

Alibaba · 32B · Apache 2.0

Best open-source coding model at release

Alibaba · 32B · Apache 2.0

Qwen 3 flagship dense model

DeepSeek · 32B · MIT

R1 reasoning distilled into Qwen 32B — sweet spot

Meta · 70B · Llama 3.3 Community

Best open model at 70B class

Meta · 109B · Llama 4 Community

MoE with 16 experts, 17B active params

OpenAI · 117B · Apache 2.0

OpenAI's flagship open-weight MoE — 52.6% SWE-bench

Mistral AI · 123B · MRL

Dense 123B coding model — 72.2% SWE-bench Verified

DeepSeek · 671B · MIT

Massive MoE reasoning model — 37B active

DeepSeek · 685B · MIT

State-of-the-art MoE — 37B active params

Moonshot AI · 1T · Kimi

1T-param MoE with 384 experts — 32B active, strong agentic coding

Alibaba · 0.8B · Apache 2.0

Ultra-tiny model for embedded and edge

Meta · 1B · Llama 3.2 Community

Meta's smallest Llama for edge devices

Google · 1B · Gemma

Google's tiny Gemma for on-device

Community · 1.1B · Apache 2.0

Ultralight model for constrained devices

Alibaba · 1.5B · Apache 2.0

Ultra-lightweight coding model

DeepSeek · 1.5B · MIT

Tiny reasoning model distilled from R1

Alibaba · 1.7B · Apache 2.0

Compact multilingual Qwen 3

Alibaba · 2B · Apache 2.0

Small multimodal Qwen 3.5

Google · 2B · Gemma

Google's compact open model

Meta · 3B · Llama 3.2 Community

Lightweight Llama for mobile and edge

HuggingFace · 3B · Apache 2.0

Lightweight multilingual reasoning

Microsoft · 3.8B · MIT

Microsoft's efficient small model with long context

Microsoft · 3.8B · MIT

Lightweight reasoning model

Alibaba · 4B · Apache 2.0

Compact Qwen 3 for general tasks

Google · 4B · Gemma

Multimodal Gemma with 128K context

Alibaba · 4B · Apache 2.0

Small multimodal Qwen 3.5

Mistral AI · 7B · Apache 2.0

High-quality 7B with sliding window attention

Alibaba · 7B · Apache 2.0

Strong multilingual and coding capabilities

Alibaba · 7B · Apache 2.0

Dedicated coding model

DeepSeek · 7B · MIT

R1 reasoning distilled into Qwen 7B

Alibaba · 8B · Apache 2.0

Qwen 3 with thinking mode support

Mistral AI · 8B · MRL

Mistral's efficient 8B model

Google · 9B · Gemma

Google's best mid-size open model

Zhipu AI · 9B · GLM-4

Multilingual model supporting 26 languages with 128K context

NVIDIA · 9B · NVIDIA Open

Hybrid Mamba2 architecture for reasoning

Meta · 11B · Llama 3.2 Community

Multimodal vision and text model

Google · 12B · Gemma

Multimodal Gemma with 128K context

Mistral AI · 12B · Apache 2.0

Multilingual 12B with 128K context

Alibaba · 14B · Apache 2.0

Excellent quality for its size class

Alibaba · 14B · Apache 2.0

Strong all-rounder with thinking mode

DeepSeek · 14B · MIT

R1 reasoning distilled into Qwen 14B

Liquid AI · 24B · Liquid AI

Hybrid MoE with convolution+attention layers — 2.3B active

Mistral AI · 24B · Apache 2.0

Coding-focused model with 256K context — 68% SWE-bench

Google · 27B · Gemma

Google's largest Gemma 2 model

Alibaba · 27.8B · Apache 2.0

Flagship native multimodal Qwen 3.5

Alibaba · 30B · Apache 2.0

MoE with only 3.3B active — extremely efficient

NVIDIA · 30B · NVIDIA Open

MoE with 1M context and 3B active

Alibaba · 32B · Apache 2.0

High-quality reasoning and multilingual

LG AI · 32B · EXAONE AI

Hybrid reasoning, multilingual

Allen AI · 32B · Apache 2.0

Fully open research model by Allen AI

Cohere · 35B · CC BY-NC 4.0

Optimized for retrieval-augmented generation

Alibaba · 35B · Apache 2.0

Efficient multimodal MoE with 3B active

Mistral AI · 47B · Apache 2.0

MoE with 12.9B active params

Alibaba · 72B · Qwen

Alibaba's flagship open model

Alibaba · 122B · Apache 2.0

Large multimodal MoE with 10B active

Mistral AI · 141B · Apache 2.0

Large MoE with 39B active params

Alibaba · 235B · Apache 2.0

Massive MoE with 22B active — frontier quality

Alibaba · 397B · Apache 2.0

Largest multimodal Qwen 3.5 MoE

Meta · 400B · Llama 4 Community

Multimodal MoE with 128 experts — 17B active, 1M context

Meta · 405B · Llama 3.1 Community

Largest open-weight dense model by Meta

Alibaba · 480B · Apache 2.0

Largest open coding MoE — 35B active

DeepSeek · 671B · MIT

Improved V3 with hybrid thinking and tool use