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| 2 models | googleembeddinggemma-2Remove × | BAAIbge-m3Remove × |
|---|---|---|
| What’s different | 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,… | BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in… |
| Date | Oct 8, 2026Listed | May 27, 2024Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 8.2K | 8.2K |
| Max output | — | 7.4K |
| Parameters | — | — |
| Open weights | Not reported | Supported |