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| 2 models | nvidiaNemotron-3-Embed-1B-BF16Remove × | intfloatIntfloat: Multilingual-E5-LargeRemove × |
|---|---|---|
| What’s different | Nemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional dense vectors for retrieval… | The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized… |
| Date | Jul 15, 2026Listed | Jun 4, 2024Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | ||
| FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1a | 0.4173 ↗Revision f8801746; test/defaultContributor reported | Not reported |
Specifications | ||
| Context window | 32.8K | 512 |
| Max output | — | 460 |
| Parameters | 1B | — |
| Open weights | Not reported | Supported |