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| 2 models | intfloatIntfloat: E5-Large-v2Remove × | googleembeddinggemma-300mRemove × |
|---|---|---|
| What’s different | The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic… | 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… |
| Date | Nov 22, 2023Listed | Sep 16, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 0 endpoints → |
Specifications | ||
| Context window | 512 | 2K |
| Max output | 460 | — |
| Parameters | — | 300M |
| Open weights | Supported | Not reported |