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| 2 models | voyageaiVoyageAI by MongoDB: voyage-4-largeRemove × | googleGoogle: Gemini Embedding 2Remove × |
|---|---|---|
| What’s different | voyage-4-large is a state-of-the-art general-purpose and multilingual embedding optimized for retrieval quality. Enabled by Matryoshka learning and quantization-aware training, voyage-4-large supports… | 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… |
| Date | Jul 27, 2026Listed | May 20, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.20 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → |
Specifications | ||
| Context window | 32K | 8.2K |
| Max output | 28.8K | 7.4K |
| Parameters | — | — |
| Image input | Not reported | Supported |
| Audio input | Not reported | Supported |
| Video input | Not reported | Supported |