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-8BRemove × | Briaremove_background_guidedRemove × | googleembeddinggemma-2Remove × |
|---|---|---|---|
| What’s different | Nemotron-3-Embed-8B is a multilingual text embedding model from NVIDIA, based on Ministral-3-8B, that maps text into 4096-dimensional dense vectors for retrieval and semantic similarity. Spanning 34… | Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained… | EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,… |
| Date | Jul 16, 2026Listed | Oct 14, 2026Listed | Oct 8, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 0 endpoints → | 0 endpoints → |
Specifications | |||
| Context window | 32.8K | — | 8.2K |
| Max output | — | — | — |
| Parameters | 8B | — | — |