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| 2 models | intfloatmultilingual-e5-large-instructRemove × | openaiOpenAI: Text Embedding 3 SmallRemove × |
|---|---|---|
| What’s different | 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:”… | text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two… |
| Date | Apr 17, 2025Listed | Oct 30, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 512 | 8.2K |
| Max output | — | 7.4K |
| Parameters | — | — |