Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | openaiOpenAI: Text Embedding 3 SmallRemove × | intfloatmultilingual-e5-large-instructRemove × |
|---|---|---|
| What’s different | 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… | 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 30, 2025Listed | Apr 17, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.02 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 | — | — |