Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | googleembeddinggemma-300mRemove × | googleGoogle: Gemini Embedding 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… | Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It… |
| Date | Sep 16, 2025Listed | May 20, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.20 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 2K | 8.2K |
| Max output | — | 7.4K |
| Parameters | 300M | — |
| Image input | Not reported | Supported |
| Audio input | Not reported | Supported |
| Video input | Not reported | Supported |