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 | all-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 193.4 M | from 0.6 GB |
| 02 | paraphrase-multilingual-MiniLM-L12-v2 | 120 M | 512 | ✓ apache-2.0 | 40.6 M | from 1.0 GB |
| 03 | bge-m3 | — | 8 K | ✓ mit | 29.6 M | — |
| 04 | all-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 17.9 M | from 1.0 GB |
| 05 | nomic-embed-text-v1.5 | 140 M | 2 K | ✓ apache-2.0 | 12.4 M | from 1.1 GB |
| 06 | multilingual-e5-small | 120 M | 512 | ✓ mit | 9.2 M | from 1.0 GB |
| 07 | paraphrase-multilingual-mpnet-base-v2 | 280 M | 512 | ✓ apache-2.0 | 8.6 M | from 1.8 GB |
| 08 | multilingual-e5-base | 280 M | 512 | ✓ mit | 5.6 M | from 1.8 GB |
| 09 | bge-base-en-v1.5-course-recommender-v5 | 110 M | 512 | unknown | 4.0 M | from 1.0 GB |
| 10 | all-distilroberta-v1 | 80 M | 512 | ✓ apache-2.0 | 2.7 M | from 0.9 GB |
| 11 | all-MiniLM-L12-v2 | 30 M | 512 | ✓ apache-2.0 | 2.6 M | from 0.7 GB |
| 12 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 2.5 M | from 3.1 GB |
| 13 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 2.4 M | from 1.9 GB |
| 14 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.7 M | from 2.5 GB |
| 15 | bge-small-en-v1.5-onnx-Q | — | 512 | ✓ mit | 1.6 M | — |
| 16 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.6 M | — |
| 17 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 1.5 M | from 1.1 GB |
| 18 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.5 M | from 1.0 GB |
| 19 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.4 M | from 1.1 GB |
| 20 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.4 M | from 0.6 GB |
| 21 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.3 M | from 1.0 GB |
| 22 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 1.3 M | from 19.6 GB |
| 23 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 1.1 M | from 1.0 GB |
| 24 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 25 | gte-small | 30 M | 512 | ✓ mit | 1.0 M | from 0.6 GB |
| 26 | e5-small-v2 | 30 M | 512 | ✓ mit | 1.0 M | from 0.7 GB |
| 27 | stsb-bert-tiny-safetensors | <0.1 M | 512 | unknown | 1.0 M | from 0.5 GB |
| 28 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 989 K | from 2.7 GB |
| 29 | e5-base-v2 | 110 M | 512 | ✓ mit | 934 K | from 1.0 GB |
| 30 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 909 K | from 1.0 GB |
| 31 | bm25 | — | — | ✓ apache-2.0 | 907 K | — |
| 32 | e5-base | 110 M | 512 | ✓ mit | 904 K | from 1.0 GB |
| 33 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 879 K | from 1.9 GB |
| 34 | snowflake-arctic-embed-l | 334 M | 512 | ✓ apache-2.0 | 866 K | from 2.0 GB |
| 35 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 857 K | from 1.1 GB |
| 36 | e5-large-v2 | 340 M | 512 | ✓ mit | 849 K | from 2.0 GB |
| 37 | ko-sroberta-multitask | 110 M | 512 | unknown | 844 K | from 1.0 GB |
| 38 | Qwen3-VL-Embedding-2B | 2.1 B | — | ✓ apache-2.0 | 757 K | from 5.5 GB |
| 39 | all_miniLM_L6_v2_with_attentions | — | 512 | ✓ apache-2.0 | 753 K | — |
| 40 | USER2-base | 149 M | 8 K | ✓ apache-2.0 | 740 K | from 1.2 GB |
| 41 | multilingual-e5-large-onnx | — | 512 | ✓ mit | 676 K | — |
| 42 | nli-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 649 K | from 1.0 GB |
| 43 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 615 K | from 0.6 GB |
| 44 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 603 K | from 2.6 GB |
| 45 | paraphrase-albert-small-v2 | 10 M | 512 | ✓ apache-2.0 | 586 K | from 0.6 GB |
| 46 | paraphrase-MiniLM-L3-v2 | 20 M | 512 | ✓ apache-2.0 | 576 K | from 0.6 GB |
| 47 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 564 K | from 2.1 GB |
| 48 | vietnamese-bi-encoder | 130 M | 256 | ✓ apache-2.0 | 549 K | from 1.1 GB |
| 49 | gte-large | 340 M | 512 | ✓ mit | 541 K | from 1.3 GB |
| 50 | nomic-embed-text-v1.5-GGUF | 140 M | 2 K | ✓ apache-2.0 | 538 K | from 0.6 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.