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| 2 models | googleembeddinggemma-300mRemove × | intfloatmultilingual-e5-large-instructRemove × |
|---|---|---|
| What’s different | 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… | 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 | Sep 16, 2025Listed | 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 | 2K | 512 |
| Max output | — | — |
| Parameters | 300M | — |