1,226 models · 1,226 open weights · 200 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | gemma-4-26B-A4B-it | 26.5 B | — | ✓ apache-2.0 | 9.1 M | from 61.3 GB |
| 02 | gemma-4-31B-it | 32.7 B | — | ✓ apache-2.0 | 8.5 M | from 74.2 GB |
| 03 | Qwen3.8-27B | 27.8 B | — | ✓ apache-2.0 | 7.7 M | from 65.8 GB |
| 04 | Qwen3.5-4B | 4.7 B | — | ✓ apache-2.0 | 7.5 M | from 11.5 GB |
| 05 | Qwen3.8-Flash-Next-GSQ-RCO-GGUF | 180.0 B | — | ✓ apache-2.0 | 6.5 M | from 28.5 GB |
| 06 | Qwen3.5-9B | 9.7 B | — | ✓ apache-2.0 | 6.4 M | from 23.2 GB |
| 07 | GLM-5.3-Flash | 321.3 B | — | ✓ mit | 6.3 M | from 409.9 GB |
| 08 | Qwen2.5-VL-7B-Instruct | 8.3 B | 128 K | ✓ apache-2.0 | 4.9 M | from 20.0 GB |
| 09 | Qwen3-VL-8B-Instruct | 8.8 B | — | ✓ apache-2.0 | 4.8 M | from 21.1 GB |
| 10 | Qwen3.8-27B-FP8 | 27.8 B | — | ✓ apache-2.0 | 4.3 M | from 38.6 GB |
| 11 | Qwen3.8-27B-MLX-4bit | 4.7 B | — | ✓ apache-2.0 | 3.7 M | from 18.9 GB |
| 12 | Qwen3.6-35B-A3B | 36.0 B | — | ✓ apache-2.0 | 3.7 M | from 85.0 GB |
| 13 | Qwen3-VL-4B-Instruct | 4.4 B | — | ✓ apache-2.0 | 3.6 M | from 10.9 GB |
| 14 | Qwen3.8-27B-MLX-8bit | 8.0 B | — | ✓ apache-2.0 | 3.6 M | from 34.2 GB |
| 15 | Qwen3.8-27B-MLX-6bit | 6.4 B | — | ✓ apache-2.0 | 3.6 M | from 26.5 GB |
| 16 | Qwen3.8-27B-MLX-5bit | 5.5 B | — | ✓ apache-2.0 | 3.6 M | from 22.7 GB |
| 17 | Qwen3.6-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 3.5 M | from 47.1 GB |
| 18 | Qwen3.5-0.8B | 870 M | — | ✓ apache-2.0 | 3.3 M | from 2.6 GB |
| 19 | Qwen3.5-2B | 2.3 B | — | ✓ apache-2.0 | 2.9 M | from 5.8 GB |
| 20 | Florence-2-base | 230 M | — | ✓ mit | 2.9 M | from 1.0 GB |
| 21 | Qwen3.8-Flash-Next | 180.0 B | — | other | 2.8 M | from 423.5 GB |
| 22 | Huihui-Qwen3.8-27B-abliterated-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.4 M | from 16.5 GB |
| 23 | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 2.4 M | from 19.3 GB |
| 24 | Qwen3.6-27B | 27.8 B | — | ✓ apache-2.0 | 2.4 M | from 65.8 GB |
| 25 | moondream2 | 1.9 B | — | ✓ apache-2.0 | 2.3 M | from 5.0 GB |
| 26 | Unlimited-OCR | 3.3 B | 33 K | ✓ mit | 2.3 M | from 15.7 GB |
| 27 | Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF | — | — | ✓ apache-2.0 | 2.3 M | from 1.5 GB |
| 28 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.2 M | from 6.4 GB |
| 29 | JEV-27B-VL | 27.8 B | — | ✓ apache-2.0 | 2.2 M | from 66.3 GB |
| 30 | Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | 180.0 B | — | ✓ apache-2.0 | 2.1 M | from 28.5 GB |
| 31 | DeepSeek-OCR | 3.3 B | 8 K | ✓ mit | 2.0 M | from 8.3 GB |
| 32 | Tiel-Coder-35B-A3B-GGUF-MTP | 35.0 B | — | ✓ mit | 2.0 M | from 19.7 GB |
| 33 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.0 M | from 5.6 GB |
| 34 | GLM-OCR | 1.3 B | — | ✓ mit | 2.0 M | from 3.6 GB |
| 35 | Qwen3-VL-2B-Instruct | 2.1 B | — | ✓ apache-2.0 | 1.9 M | from 5.5 GB |
| 36 | Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF | 9.0 B | — | ✓ apache-2.0 | 1.8 M | from 7.3 GB |
| 37 | Qwen2.5-VL-7B-Instruct-AWQ | 8.3 B | 128 K | ✓ apache-2.0 | 1.7 M | from 9.4 GB |
| 38 | Qwen2.5-VL-3B-Instruct | 3.8 B | 128 K | unknown | 1.7 M | from 9.3 GB |
| 39 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.7 M | from 17.9 GB |
| 40 | Qwen3.5-27B | 27.8 B | — | ✓ apache-2.0 | 1.7 M | from 65.8 GB |
| 41 | gemma-4-12b-it-GGUF | 12.0 B | — | ✓ apache-2.0 | 1.5 M | from 7.9 GB |
| 42 | Qwen2-VL-7B-Instruct-AWQ | 8.3 B | 33 K | ✓ apache-2.0 | 1.5 M | from 9.4 GB |
| 43 | DeepSeek-V4.1-Flash | 763.2 B | — | ✓ mit | 1.5 M | from 676.3 GB |
| 44 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.4 M | from 2.8 GB |
| 45 | Inkling | 952.4 B | — | ✓ apache-2.0 | 1.4 M | from 2,238.6 GB |
| 46 | surya-ocr-2 | 690 M | — | ⚠ openrail | 1.4 M | from 2.1 GB |
| 47 | Qwen3.5-35B-A3B | 36.0 B | — | ✓ apache-2.0 | 1.4 M | from 85.0 GB |
| 48 | chandra-ocr-2 | 5.3 B | — | ⚠ openrail | 1.4 M | from 12.9 GB |
| 49 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 1.4 M | from 13.5 GB |
| 50 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.3 M | from 5.2 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.