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| 2 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | perplexityPerplexity: Embed V1 0.6BRemove × |
|---|---|---|
| What’s different | The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized… | pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B… |
| Date | Jun 4, 2024Listed | Mar 16, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.004 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → |
Specifications | ||
| Context window | 512 | 32K |
| Max output | 460 | 28.8K |
| Parameters | — | 0.6B |
| Open weights | Supported | Not reported |