Open models you can run on-prem
Architecture numbers from each model's published configuration, memory at common precisions, and the hardware that runs it. Open any model to size it for your users, or build a full architecture.
| Model | Vendor | Type | Params | Context | FP8 weights | 4-bit weights | Licence |
|---|---|---|---|---|---|---|---|
| Qwen3-VL-8B-Instruct | Alibaba Qwen | Dense | 8.8B | 256K | 8.80 GB | 4.93 GB | Apache-2.0 |
| Qwen3.5-9B | Alibaba Qwen | Dense | 9.7B | 256K | 9.70 GB | 5.43 GB | Apache-2.0 |
| Qwen3.8-27B | Alibaba Qwen | Dense | 27.8B | 256K | 27.8 GB | 15.6 GB | Apache-2.0 |
| Qwen3-30B-A3B-Instruct-2507 | Alibaba Qwen | MoE | 30.5B / 3.3B active | 256K | 30.5 GB | 17.1 GB | Apache-2.0 |
| Qwen3-32B | Alibaba Qwen | Dense | 32.8B | 128K | 32.8 GB | 18.4 GB | Apache-2.0 |
| Qwen3.6-35B-A3B | Alibaba Qwen | MoE | 36B / 3B active | 256K | 36.0 GB | 20.2 GB | Apache-2.0 |
| Qwen3-Coder-Next | Alibaba Qwen | MoE | 79.7B / 3B active | 256K | 79.7 GB | 44.6 GB | Apache-2.0 |
| Qwen3.5-122B-A10B | Alibaba Qwen | MoE | 125B / 10B active | 256K | 125 GB | 70.0 GB | Apache-2.0 |
| Qwen3.8-Flash-Next | Alibaba Qwen | MoE | 180B / 6B active | 256K | 180 GB | 101 GB | Qwen Community License 1.0 |
| Qwen3.5-397B-A17B | Alibaba Qwen | MoE | 403B / 17B active | 256K | 403 GB | 226 GB | Apache-2.0 |
| Qwen3.8-2.4T-A95B | Alibaba Qwen | MoE | 2446B / 95B active | 256K | 2446 GB | 1370 GB | Qwen3.8-Max License |
| Olmo 3.1 32B Think | Allen Institute for AI (Ai2) | Dense | 32B | 64K | 32.0 GB | 17.9 GB | Apache-2.0 |
| Ling-3.0-flash | Ant Group inclusionAI | MoE | 124B / 5.1B active | 256K | 124 GB | 69.4 GB | MIT |
| Trinity Large Thinking | Arcee AI | MoE | 398B / 13B active | 512K | 398 GB | 223 GB | OpenMDW-1.1 |
| Command A (03-2025) | Cohere | Dense | 111B | 256K | 111 GB | 62.2 GB | CC-BY-NC-4.0 |
| Command A+ (05-2026) | Cohere | MoE | 218B / 25B active | 128K | 218 GB | 122 GB | Apache-2.0 |
| DeepSeek-V3.2 | DeepSeek | MoE | 671B / 37B active | 160K | 671 GB | 376 GB | MIT |
| DeepSeek-V4.1-Flash-1017 | DeepSeek | MoE | 748B / 16B active | 1024K | 748 GB | 419 GB | MIT |
| DeepSeek-V4-Pro-0813 | DeepSeek | MoE | 1600B / 49B active | 1024K | 1600 GB | 896 GB | MIT |
| Gemma 4 12B IT | Dense | 11.95B | 256K | 11.9 GB | 6.69 GB | Apache-2.0 | |
| Gemma 4 26B A4B IT | MoE | 25.2B / 3.8B active | 256K | 25.2 GB | 14.1 GB | Apache-2.0 | |
| Gemma 3 27B IT | Dense | 27B | 128K | 27.0 GB | 15.1 GB | Gemma Terms of Use | |
| Gemma 4 31B IT | Dense | 30.7B | 256K | 30.7 GB | 17.2 GB | Apache-2.0 | |
| Granite 4.2 8B | IBM | Dense | 8B | 128K | 8.00 GB | 4.48 GB | Apache-2.0 |
| Granite 4.2 30B | IBM | Dense | 30B | 128K | 30.0 GB | 16.8 GB | Apache-2.0 |
| Llama 3.1 8B Instruct | Meta | Dense | 8B | 128K | 8.00 GB | 4.48 GB | Llama 3.1 Community License |
| Llama 3.3 70B Instruct | Meta | Dense | 70B | 128K | 70.0 GB | 39.2 GB | Llama 3.3 Community License |
| Llama 4 Scout 17B-16E Instruct | Meta | MoE | 109B / 17B active | 10240K | 109 GB | 61.0 GB | Llama 4 Community License |
| Llama 4 Maverick 17B-128E Instruct | Meta | MoE | 400B / 17B active | 1024K | 400 GB | 224 GB | Llama 4 Community License |
| Muse Spark Open 816B-A42B | Meta | MoE | 816B / 42B active | 1024K | 816 GB | 457 GB | Muse Model License |
| Phi-4 | Microsoft | Dense | 14B | 16K | 14.0 GB | 7.84 GB | MIT |
| MiniMax-M3 | MiniMax | MoE | 428B / 23B active | 1024K | 428 GB | 240 GB | MiniMax Community License |
| Mistral Small 3.2 24B Instruct 2506 | Mistral AI | Dense | 24B | 128K | 24.0 GB | 13.4 GB | Apache-2.0 |
| Magistral Small 1.2 (2509) | Mistral AI | Dense | 24B | 128K | 24.0 GB | 13.4 GB | Apache-2.0 |
| Devstral Small 2 24B Instruct 2512 | Mistral AI | Dense | 24B | 256K | 24.0 GB | 13.4 GB | Apache-2.0 |
| Mistral Small 4 119B A6B (2603) | Mistral AI | MoE | 119B / 6.5B active | 256K | 119 GB | 66.6 GB | Apache-2.0 |
| Mistral Medium 3.5 128B | Mistral AI | Dense | 128B | 256K | 128 GB | 71.7 GB | Modified MIT License |
| Mistral Large 3 675B Instruct 2512 | Mistral AI | MoE | 675B / 41B active | 256K | 675 GB | 378 GB | Apache-2.0 |
| Kimi-K2.6 | Moonshot AI | MoE | 1000B / 32B active | 256K | 1000 GB | 560 GB | Modified MIT |
| Kimi-K2.7-Code | Moonshot AI | MoE | 1000B / 32B active | 256K | 1000 GB | 560 GB | Modified MIT |
| Kimi-K3 | Moonshot AI | MoE | 2800B / 104B active | 1024K | 2800 GB | 1568 GB | Kimi K3 License |
| NVIDIA Nemotron 3.5 Lightning 30B-A3B | NVIDIA | MoE | 30B / 3B active | 1024K | 30.0 GB | 16.8 GB | OpenMDW-1.1 |
| NVIDIA Nemotron 3 Super 120B-A12B | NVIDIA | MoE | 120B / 12B active | 1024K | 120 GB | 67.2 GB | NVIDIA Nemotron Open Model License |
| gpt-oss-20b | OpenAI | MoE | 21B / 3.6B active | 128K | 21.0 GB | 11.8 GB | Apache-2.0 |
| gpt-oss-120b | OpenAI | MoE | 117B / 5.1B active | 128K | 117 GB | 65.5 GB | Apache-2.0 |
| Step-3.7-Flash | StepFun | MoE | 198B / 11B active | 256K | 198 GB | 111 GB | Apache-2.0 |
| Hy3 | Tencent Hunyuan | MoE | 295B / 21B active | 256K | 295 GB | 165 GB | Apache-2.0 |
| MiMo-V2.6-Flash-RL | Xiaomi MiMo | MoE | 309B / 15B active | 1024K | 309 GB | 173 GB | MIT |
| MiMo-V2.6-Pro-RL | Xiaomi MiMo | MoE | 1020B / 42B active | 1024K | 1020 GB | 571 GB | MIT |
| GLM-4.7-Flash | Zhipu AI (Z.ai) | MoE | 31.2B / 3B active | 198K | 31.2 GB | 17.5 GB | MIT |
| GLM-5.3-Flash | Zhipu AI (Z.ai) | MoE | 320B / 18B active | 1024K | 320 GB | 179 GB | MIT |
| GLM-5.3 | Zhipu AI (Z.ai) | MoE | 744B / 40B active | 1024K | 744 GB | 417 GB | GLM-5.3 License |