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| 2 models | googleGoogle: Gemini Embedding 2 (batch)Remove × | liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove × |
|---|---|---|
| What’s different | Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It… | 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… |
| Date | May 20, 2026Listed | Aug 18, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.10 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.00 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → |
Specifications | ||
| Context window | 8.2K | 512 |
| Max output | 7.4K | 460 |
| Parameters | — | — |
| Image input | Supported | Not reported |
| Audio input | Supported | Not reported |
| Video input | Supported | Not reported |
| Open weights | Not reported | Supported |