Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | googleembeddinggemma-300mRemove × | googleembeddinggemma-2Remove × |
|---|---|---|
| What’s different | EmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations… | 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 | Sep 16, 2025Listed | Oct 8, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 0 endpoints → |
Specifications | ||
| Context window | 2K | 8.2K |
| Max output | — | — |
| Parameters | 300M | — |