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| 2 models | googleGoogle: Gemini Embedding 2Remove × | intfloatmultilingual-e5-large-instructRemove × |
|---|---|---|
| What’s different | 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… | The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”… |
| Date | May 20, 2026Listed | Apr 17, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.20 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 0 endpoints → |
Specifications | ||
| Context window | 8.2K | 512 |
| Max output | 7.4K | — |
| Parameters | — | — |
| Image input | Supported | Not reported |
| Audio input | Supported | Not reported |
| Video input | Supported | Not reported |