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| 2 models | BAAIbge-large-en-v1.5Remove × | voyageaiVoyageAI by MongoDB: voyage-code-4Remove × |
|---|---|---|
| What’s different | BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text,… | voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256... |
| Date | Nov 22, 2023Listed | Aug 13, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.12 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 | — | — |
| Open weights | Supported | Not reported |