Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | nvidiaNemotron-3-Embed-1B-NVFP4Remove × | kreaKrea 3 EditRemove × | 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… | Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed. | 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 | Oct 14, 2026Listed | Sep 3, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.025/ megapixelfal · all routes ↗Output + reference images | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 0 endpoints → |
Specifications | |||
| Context window | 32.8K | — | 8.2K |
| Max output | — | — | — |
| Parameters | 1B | — | — |