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| 3 models | thenlpergte-baseRemove × | googleembeddinggemma-300mRemove × | voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove × |
|---|---|---|---|
| What’s different | The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE… | EmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations… | voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It… |
| Date | Nov 22, 2023Listed | Sep 16, 2025Listed | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes | $0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 0 endpoints → | 1 endpoint → |
Specifications | |||
| Context window | 512 | 2K | 32K |
| Max output | 460 | — | 28.8K |
| Parameters | — | 300M | — |
| Image input | Not reported | Not reported | Supported |
| Open weights | Supported | Not reported | Not reported |