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| 3 models | perplexityPerplexity: Embed V1 4BRemove × | intfloatIntfloat: E5-Base-v2Remove × | Briaremove_background_guidedRemove × |
|---|---|---|---|
| What’s different | pplx-embed-v1 -4B 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 4B parameter… | The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as… | Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained… |
| Date | Mar 16, 2026Listed | Nov 22, 2023Listed | Oct 14, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.03 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 0 endpoints → |
Specifications | |||
| Context window | 32K | 512 | — |
| Max output | 28.8K | 460 | — |
| Parameters | 4B | — | — |
| Open weights | Not reported | Supported | Not reported |