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LLM Models

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

2,132 models Compare
Thinking Machines: Inkling logo
Thinking Machines: Inkling
thinkingmachines

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

Closed Source ★ 25.0
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
Qwen3.5-35B-A3B-FP8 logo
Qwen3.5-35B-A3B-FP8
Qwen

[!Note] This repository contains FP8-quantized 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. The quantization method is fin…

Multimodal 35.0B ★ 24.0 ↓ 1.3M
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
Upstage: Solar Mini 4 logo
Upstage: Solar Mini 4
upstage

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response...

Closed Source 35.0B ★ 24.0
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
Ling-3.0-flash-Fin logo
Ling-3.0-flash-Fin
inclusionAI

Base Model       OpenRouter       Announcement   

Open Source 124.0B ★ 23.0 ↓ 2.4K
Ling-3.0-flash-Fin-fp4 logo
Ling-3.0-flash-Fin-fp4
inclusionAI

Base Model       OpenRouter       Announcement   

Open Source 124.0B ★ 23.0 ↓ 381
Cohere: Command A logo
Cohere: Command A
cohere

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

Closed Source ★ 23.0
NVIDIA: Nemotron 3 Ultra (free) logo
NVIDIA: Nemotron 3 Ultra (free)
nvidia

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

Closed Source ★ 23.0