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| 3 models | intfloatmultilingual-e5-large-instructRemove × | intfloatIntfloat: E5-Base-v2Remove × | kreaKrea: K3 EditRemove × |
|---|---|---|---|
| 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:”… | 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… | Edits one to eight reference images from a text prompt, returning one image. |
| Date | Apr 17, 2025Listed | Nov 22, 2023Listed | Oct 15, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 0 endpoints → |
Specifications | |||
| Context window | 512 | 512 | 65.5K |
| Max output | — | 460 | 59K |
| Parameters | — | — | — |
| Image input | Not reported | Not reported | Supported |
| Open weights | Not reported | Supported | Not reported |