AI Agent Hub

LLM Models · Open Source

Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.

1,253 models Compare
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Apodex: Apodex 1.1 Mini (free)
apodex

Apodex 1.1 Mini is a reasoning-first model from Apodex, built for complex, long-horizon research and forecasting tasks. It works directly with files, data, code, and tools to produce verifiable results,...

Open Source 35.0B ★ 26.0
Hy3 logo
Hy3
tencent

           

Open Source ★ 25.0 ↓ 414.8K
Hy3-preview logo
Hy3-preview
tencent

           

Open Source ★ 25.0 ↓ 108.9K
MiMo-V2-Flash logo
MiMo-V2-Flash
XiaomiMiMo

🤗 HuggingFace   📔 Technical Report   📰 Blog   Play around!   🗨️ Xiaomi MiMo Studio   🎨 Xiaomi MiMo API Platform

Open Source ★ 25.0 ↓ 94.5K
Hy3-FP8 logo
Hy3-FP8
tencent

           

Open Source ★ 25.0 ↓ 53.2K
Solar-Open2-250B logo
Solar-Open2-250B
upstage

Solar Open 2 is Upstage’s 250B-A15B open-weight large language model, built for agentic use cases such as office productivity, document-intensive work, and coding. Its Hybrid-Attention Mixture-of-Experts (MoE) architecture with linear attention delivers highly efficient inference…

Open Source 250.0B ★ 25.0 ↓ 5.3K
MiMo-V2-Flash-Base logo
MiMo-V2-Flash-Base
XiaomiMiMo

🤗 HuggingFace   📔 Technical Report   📰 Blog   Play around!   🗨️ Xiaomi MiMo Studio   🎨 Xiaomi MiMo API Platform

Open Source ★ 25.0 ↓ 873
Qwen3.5-35B-A3B logo
Qwen3.5-35B-A3B
Qwen

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

Open Source 35.0B ★ 24.0 ↓ 1.5M
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16 logo
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16
nvidia

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16

Open Source 30.0B ★ 24.0 ↓ 143.2K
Qwen2.5-7B logo
Qwen2.5-7B
Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Open Source 7.61B ★ 23.0 ↓ 786.8K
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 logo
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
nvidia

:--- :--- Total Parameters 550B (55B active) Architecture LatentMoE - Mamba-2 + MoE + Attention hybrid with Multi-Token Prediction (MTP) Context Length Up to 1M tokens Minimum GPU Requirement 8x GB200/B200/GB300/B300, 16x H100, 8x H200 Supported Languages English, French, Spanish…

Open Source 550.0B ★ 23.0 ↓ 683.5K
NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 logo
NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4
nvidia

:--- :--- Total Parameters 550B (55B active) Architecture LatentMoE - Mamba-2 + MoE + Attention hybrid with Multi-Token Prediction (MTP) Context Length Up to 1M tokens Minimum GPU Requirement 4xGB200, 4xB200, 4x GB300, 4x B300, 8xH100 Supported Languages English, French, Spanish,…

Open Source 550.0B ★ 23.0 ↓ 159.4K