Open Models

New open-weight LLMs you can actually download and run locally — what the creators claim, what owners on r/LocalLLaMA actually find, the research behind each model, and exactly what hardware it takes to run it well.

Open Models

Hy4 Preview: Tencent's 770B Apache-Licensed Flagship Is a 512GB Model, and That Settles Who Can Run It

Qwen3.8-Flash-Next: The Qwen4 Preview You Can Run on a 48GB Mac

GLM-5.3-Flash: A 320B MoE That Wants a 256GB Mac (Despite the Name)

Qwen3.8-27B: The Local Model Most People Should Run in 2026

The Best Open LLM You Can Actually Run Right Now, by VRAM Tier (August 2026)

What "Open Weights" Lets You Do: The 2026 Model License Map, Read From the Actual Texts

DeepSeek V4 Flash Tested: Frontier-Class Coding for 79 Cents a Day, and It Runs on a 128GB Box

Every Frontier Open Model Is a MoE Now. Here Is What That Does to Your Hardware Math

What Hardware Runs Inkling? A 975B Model That Fits on One Box (Unlike Kimi K3)

Inkling: Mira Murati's First Open Model Is a 975B MoE You Can Actually Run

What Hardware Runs Kimi K3? The 2.8T Options, Ranked (and When to Just Rent)

Kimi K3: The Largest Open Model Ever (2.8T Params), and Why Almost No One Can Run It Locally

Kimi K2.7 Code: The Open Trillion-Parameter Coder, and the 594GB Reality of Running It Locally

GPT-5.6 is here, and you can't run it. Here's what you can run instead.

Qwen-AgentWorld-35B-A3B: a local 'world model' you can run at home

MiniMax M3: The First Open-Weight Multimodal Frontier Model (and the License Catch)

Qwen3-30B-A3B: The Open Model Most People Should Actually Run

GLM-5.2: The Most Powerful Open-Weight Model Yet, and the Brutal Reality of Running It Locally

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