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| 3 models | intfloatmultilingual-e5-large-instructRemove × | intfloatIntfloat: Multilingual-E5-LargeRemove × | nace-aidrex-v1.5Remove × |
|---|---|---|---|
| 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 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… | Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single… |
| Date | Apr 17, 2025Listed | Jun 4, 2024Listed | Oct 8, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.04 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 2 endpoints → |
Specifications | |||
| Context window | 512 | 512 | 131.1K |
| Max output | — | 460 | 118K |
| Parameters | — | — | — |
| Open weights | Not reported | Supported | Supported |