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| 3 models | nvidiaNemotron-3-Embed-1B-NVFP4Remove × | intfloatIntfloat: Multilingual-E5-LargeRemove × | BAAIbge-m3-multi-8kRemove × |
|---|---|---|---|
| What’s different | Nemotron-3-Embed-1B-NVFP4 is the NVFP4-quantized version of Nemotron-3-Embed-1B-BF16 — a multilingual text embedding model from NVIDIA that maps text into 2048-dimensional dense vectors for retrieval and… | 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… | BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),… |
| Date | Jul 16, 2026Listed | Jun 4, 2024Listed | Sep 3, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 0 endpoints → |
Specifications | |||
| Context window | 32.8K | 512 | 8.2K |
| Max output | — | 460 | — |
| Parameters | 1B | — | — |
| Open weights | Not reported | Supported | Not reported |