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| 3 models | openaiOpenAI: Text Embedding 3 LargeRemove × | intfloatIntfloat: E5-Large-v2Remove × | BAAIbge-m3-multi-8kRemove × |
|---|---|---|---|
| What’s different | text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between… | The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic… | BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),… |
| Date | Oct 30, 2025Listed | Nov 22, 2023Listed | Sep 3, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.13 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 0 endpoints → |
Specifications | |||
| Context window | 8.2K | 512 | 8.2K |
| Max output | 7.4K | 460 | — |
| Parameters | — | — | — |
| Open weights | Not reported | Supported | Not reported |