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| 3 models | BAAIbge-m3Remove × | liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove × | voyageaiVoyageAI by MongoDB: voyage-4Remove × |
|---|---|---|---|
| What’s different | BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in… | LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and… | voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple… |
| Date | May 27, 2024Listed | Aug 18, 2026Listed | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.00 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.06 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 1 endpoint → |
Specifications | |||
| Context window | 8.2K | 512 | 32K |
| Max output | 7.4K | 460 | 28.8K |
| Parameters | — | — | — |
| Open weights | Supported | Supported | Not reported |