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| 2 models | intfloatIntfloat: E5-Large-v2Remove × | googleGoogle: Gemini Embedding 001Remove × |
|---|---|---|
| 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… | gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text… |
| Date | Nov 22, 2023Listed | Oct 31, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.15 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → |
Specifications | ||
| Context window | 512 | 20K |
| Max output | 460 | 18K |
| Parameters | — | — |
| Open weights | Supported | Not reported |