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| 2 models | googleembeddinggemma-2Remove × | intfloatmultilingual-e5-large-instructRemove × |
|---|---|---|
| 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,… | 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 | Oct 8, 2026Listed | Apr 17, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 0 endpoints → |
Specifications | ||
| Context window | 8.2K | 512 |
| Max output | — | — |
| Parameters | — | — |