Open weights

Only rows with openWeights=true. Null is not a yes. Quality leads; unrated sits below, never as a win. Sizes this page does not have are not guessed.

The self-host fitter skips models with no sourced size. MoE memory uses total parameters, not active. This list is the catalogue flag, not a Hugging Face scrape.

Fit these to your hardware

ModelQualityInput $/MContextLicence
Kimi K31476.3$3.001.0Mmodified-mit
GLM 5.21465.4$1.191.0Mmit
Gemma 4 31B1441.7$0.090262Kgemma
Qwen3.8 27B1440.8$0.4251Mapache-2.0
DeepSeek V4 Pro 04231439.2$0.8701.0M
MiniMax M31434.8$0.3001.0Mmit
DeepSeek V4 Flash 04231431.6$0.0811.0M
DeepSeek V3.21424.6$0.260164Kmit
gpt-oss-120b1365.6$0.037131Kapache-2.0
Olmo 3 32B Think1298.5$0.15066Kapache-2.0
Granite 4.1 8B1291.6$0.050131Kapache-2.0
Phi 41216.8$0.07016Kmit
Llama 4 Scout$0.1101.3Mllama-4-community
Mistral Small 4$0.150262Kapache-2.0
Llama 4 Maverick$0.2001.0Mllama-4-community
Muse Glimmer 30B$0.350131K
Nemotron 3 Ultra$0.600512Knvidia-open-model
Kimi K2.7 Code$0.670262Kmodified-mit
Qwen3.8 2.4T A95B$2.001.0Mapache-2.0
Command A$2.50256Kcc-by-nc-4.0

8 have no independent score. They are listed after the ranked rows.